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SIEMENS GBS MAGAZINE

INSIDE

# 1 | 2026
INSIDE | ISSUE #1 | 2026

Editorial



Dear Readers,

When I talk to customers and partners these days, 
sooner or later the same topic comes up in our 
discussions: the desire and need for better performance. This is linked to three key questions: What is my exact pain point? What improvements can I achieve? And what does the journey from need to fulfillment look like? The short answer to these questions, based on
our customer relationships, is tangible, measurable 
performance is achieved when we act together.

But how?

You will find detailed answers and see how this 
comes to life in the current edition of our magazine. The solutions generally focus on three milestones along your way to success: tools, technology and know-how.

Consider, for instance, how our co-created billing 
automation tool is dramatically boosting productivity. Or how our revamped IFRS 16 Data Collector tool 
is making compliance not just easier, but also faster 
and more affordable for over 200 Siemens 
companies globally.

As always, when it comes to improving performance these days, AI comes into play. For example, the Cash Collection Management tool, which receives around one million incoming emails yearly, is now powered with GBS Gen AI services, which leads to significantly more efficiency. Similarly, the ServicePilot, our 
people-centric approach combined with AI technology in HR services creates state of the art employee
experience in China and around the world.

Our know-how and deep expertise in business 
services has been recently awarded the World’s Best GBS prize, one of the highest recognitions in the industry for organizations redefining the value GBS can create.

Through the examples in this magazine, I hope you can get a foretaste of what our journey together 
could be like.

To those who have trusted us to act as a strategic 
partner in their success, I say a big “Thank you”. 
To those who are considering us, let’s connect. 
Your need for more profitability is what drives us: 
it’s nothing less than our mission.



Yours sincerely, Eckard Eberle, CEO Siemens Global Business Services





INSIDE | ISSUE #1 | 2026

World’s Best GBS 2026 Award: Siemens GBS ranks No. 1



Siemens Global Business Services (GBS) has been named the winner of the prestigious World’s Best GBS Award 2026. The prize is one of the highest recognitions in the industry for organizations that redefine the value Global Business Services can deliver. The award was launched in 2023 by SSON Research & Analytics, a leading global data and research platform for the Shared Services and GBS industry. The idea behind it is to spotlight GBS organizations that generate measurable enterprise-wide impact beyond traditional efficiency. The award highlights measurable impact in the fields of innovation, digital enablement and strategic contribution to business success.

This recognition follows Siemens GBS’s position as one of the five global finalists for the 2025 award, a shortlist that honored organizations “fundamentally transforming how business value is created” through contributions to revenue, cash flow and profitability. Now, Siemens GBS stands proudly at the top.



A win built on innovation, impact and resilience

The judging framework behind the award is rigorous, assessing four core dimensions:

  • Service Delivery & Impact
  • GBS Model Evolution & Complexity
  • Automation & Enablers
  • Talent Management

This structure identifies organizations that consistently push the GBS model forward, creating new forms of value and driving enterprise transformation.





Siemens GBS excelled through:

  • Customer-centric, strategically aligned service delivery that strengthens Siemens’ and customers’ business priorities
  • Digital innovation and advanced automation, enabling new levels of operational efficiency and business impact
  • Data-driven governance, supporting faster, smarter decision-making across the enterprise
  • An empowered global workforce, reflecting a culture of learning, resilience, and collaboration





Winning the World’s Best GBS Award is an extraordinary recognition of the transformation we’ve driven together. This honor reflects the passion, innovation and dedication of our global teams: people who challenge the status quo every day and deliver real value to Siemens and our customers. We are not just optimizing processes; we are shaping the future of how Siemens operates. This award is a tribute to every colleague who brings our strategy to life.

Eckard Eberle, CEO, Siemens Global Business Services





INSIDE | ISSUE #1 | 2026

A digital companion for personnel matters







ServicePilot: from Q&A tool to smart assistant

  • Development and launch in just 6 months
  • 100,000–120,000 page views thanks to high user acceptance
  • 12,000 tickets processed with minimal effort
  • 90% self-service rate thanks to AI-supported conversations
  • 

With our Hire-to-Retire services, we are supporting employees and managers throughout the entire employee lifecycle, from onboarding to retirement. For our customers in China, ServicePilot provides answers to various questions in a matter of seconds. Nearly four in five queries can be resolved directly in the chat — no manual intervention required.



“We’re having a baby. This may sound like the start of a familiar conversation between friends or colleagues, but for Siemens GBS China customers it triggers a whole series of intelligently linked processes – via ServicePilot. When it receives a message like this, the AI-supported platform recognizes not only the direct meaning of the statement, but also the further issues it raises. ServicePilot knows immediately that someone saying this is looking for information on parental leave, reporting obligations and benefits for young families. The bot proactively provides the necessary information – without employees having to further specify their question.





From question-and-answer tool to smart assistant

Things weren’t always so convenient. Until April 1, 2025, people with HR questions had to search various portals and internal wikis or create tickets. This was time-consuming and frustrating for users. Siemens GBS therefore developed ServicePilot — a digital companion that combines three functions in one interface:

  • Smart Ask for conversations
  • Quick Search for knowledge articles
  • Easy Process for ticketing





Now, every interaction starts with key points or a question from the user in the chat. The system supplies answers and provides the source of the original knowledge and an AI summary from the wiki or SharePoint. Or it creates tickets if there are individual queries that only the service human agents can resolve. Thanks to voice control in the Siemens China people service app and integration with SAP Concur, users can check the status of their travel expense report directly in the chat, while factory workers without PCs can also take advantage of voice integration.

After the first few months, the results are impressive (excluding factory users): 120,000 page views, 12,000 processed tickets and a self-service rate of 90%. Nearly four in five queries are now resolved directly in the chat. This is saving users a lot of time and noticeably reducing the P&O or HR partner’s workload.







Constant improvement of knowledge

What makes ServicePilot particularly special is that the platform trains itself —it becomes smarter with every query. To achieve this effect, the GBS team developed a hybrid approach combining AI and human expertise, for which it has begun the patent application process in China. The solution works as follows: The AI analyzes user behavior based on their chat and satisfaction with the answers provided, identifies knowledge gaps and suggests improvements. A performance dashboard continuously monitors the accuracy of the data sources and the effectiveness of the AI models.



Importantly, sensitive topics are always handled by humans. The GBS team and their P&O/HR partners apply sensitivity tags to every piece of knowledge. For sensitive topics, we prevent the AI from over-interpreting or embellishing, ensuring 100% accurate output of sensitive information and knowledge while avoiding AI hallucinations. For standard topics, the AI checks the content and makes it easier to understand. In this way, the team prevents hallucinations and incorrect information.







AI and humans working together

”We have created a self-learning knowledge cycle,” says Yao Yao, head of GBS Hire-to-Retire China and who is responsible for ServicePilot. ”The AI continuously monitors which information is still up to date, where there are gaps and how precise the answers were. This is the difference between a static archive and living knowledge management.”

What’s more, this type of automation doesn’t replace people, it’s just giving them a new role. Instead of answering standard queries manually, the GBS teams and their ecosystem partners are training the AI, developing new service models and analyzing data streams. ”It's about upskilling,” says Yao Yao. ”Our colleagues are building the ecosystem in which AI and humans work together.”



Think globally, act locally

ServicePilot is currently only available for Siemens China since the IT solution and the local market in China are very special. However, ServicePilot shows how a global strategy built on self- service, a central knowledge database, AI support and an intuitive user interface can be put into practice in a local context. It is an excellent example of how a global approach for standardization and people experience can be adapted to local needs. At the same time, the global strategy can also benefit from this project, since the use cases and learnings can be scaled to the global People Center platform, which serves around 250k Siemens people globally.

People Center is the digital people solution used worldwide within Siemens GBS Hire-to-Retire, available on the My Services platform. The strategy is global, but the implementation is local, ensuring that regional requirements for security and data protection are met.

”For us, agility means uniting global standards with local needs,” says Victoria Kämäräinen from the Digital People Solutions team at Siemens GBS Hire-to-Retire. The team is already working on the next development stage, continuing to expand AI-supported knowledge management and preparing AI agents that can handle most standard cases accurately and with higher degrees of autonomy.



Experts

INSIDE | ISSUE #1 | 2026

AI training for leaders and employees: how to build future-ready teams



From AI theory to real use cases in just a few weeks: hands-on training, built at GBS and available to Siemens customers

How do we start? Which steps actually work? And how do we engage everyone — not just the tech enthusiasts?

These questions emerged within the Project Services (PS) Business Line in GBS as they developed a practical AI training program aimed at making project work simpler, more efficient, and faster — so people can spend more time on value-adding activities for customers.

”We soon realized that this kind of upskilling was also highly relevant for our colleagues across GBS and for our customers,” remembers Sebastian Freitag, Team Lead for Project and Transformation Services.



AI upskilling at scale

To deliver AI upskilling at scale, GBS Project Services (PS) and Learning Enablement Services (LES) have co-created a joint approach that focuses on:

  • AI expertise and methodology, including use-case driven learning formats and hands-on enablement grounded in real delivery work.
  • A professional learning delivery, embedding the program into the Siemens Learning Ecosystem and providing the platforms and infrastructure needed to scale.

This AI upskilling model is supported by a growing pool of over 30 AI instructors and champions, enabling a consistent, high-quality learning experience for broad audiences. In the GBS-rollout we are driving AI-adoption in two phases:



Phase I:

AI upskilling for more than 1,000 leaders: A four-week interactive and virtual session empowers leaders to identify AI potential, develop concrete application ideas, and actively drive AI adoption within their teams.

Phase II:

AI upskilling at scale for more than 10,000 employees: A six-week learning journey for teams or entire organizations, where participants build practical AI skills, gain confidence in applying AI responsibly, and develop use cases that deliver measurable business impact. The training is reinforced through social learning and with an AI competition on our futureMIND platform that motivates participants to experiment, showcase solutions and exchange with peers.

A three-step approach for AI upskilling

The AI learning program for managers and employees combines three tightly connected elements to move from understanding AI to adoption in day-to-day usage:

The program helps leaders discover new AI portfolio elements, understand what strategic capabilities are needed, and create more effective development and workforce plans. For employees, the learning focuses on concrete implementation in daily work as well as on increasing productivity.





AI Champion program: coaching, quick wins and continuous learning

Complementary to the leadership and employee training, an AI Champion program is available for our customers that provides selected team members with the skills to become in-house experts and trainers. Champions drive quick-win projects, coach their peers and promote continuous learning within their organization. They act as catalysts for change, building acceptance, reducing uncertainty and translating AI capabilities into tangible business value.

”The practical examples within the AI program will help us apply what we have learned even better,” says Alf Franzoni, GBS Hub Head for Western Europe and Africa, and one of the first participants. ”The training will empower our managers to guide their teams through this transformation and foster an AI-supported way of working.”

These upskilling services are now available beyond GBS for everyone in Siemens. Contact us to learn more and register for training!





Experts



INSIDE | ISSUE #1 | 2026

“It’s about co-creating solutions”: a conversation about the secret sauce of high performance

When a CFO’s drive for performance meets a GBS team’s passion for productivity: In our latest Inside Perspectives video, James Murnieks, CFO, Siemens UK & Ireland, and Venkat Amble, head of regional Customer Relationship Management, pull back the curtain on one of the regions most successful internal partnerships.

From the award-winning Bionic Agent AI solution to an innovative approach to AI adoption with purpose: find out how Siemens UK & Ireland is using the power of proximity to move beyond the traditional service provider model toward a one team mindset.







Key highlights:

0:00/0:00
0:00/0:00
0:00/0:00

It’s about being proximate, understanding the business, and co-creating solutions together.

James Murnieks, CFO of Siemens UK & Ireland, in conversation with Venkat Amble, Head of Regional Customer Relationship Management

Watch the full conversation



INSIDE | ISSUE #1 | 2026

AI-powered cash collection: your finance ninja sidekick





Ready to revolutionize your cash collections? Discover how CCMT brings AI-driven efficiency and clarity to Siemens finance teams.

What is the current status of receivables — which customers have overdue receivables, and what is the total amount of disputed receivables? What actions would have impact on cash flow and customer relationships — and how do I prioritize them? One incoming inquiry contains an invoice request, another refers to incorrect contact details, and a third haggles over payment terms: keeping track of the status and details of individual claims can be a very complex task.

CCMT aims to answer questions like the ones above quickly and in a coordinated manner: The Cash Collection Management Tool is a web application from MarCom, Sales and Delivery Services (MSD) at Siemens Global Business Services (GBS), and bundles processes in one application and noticeably automates routine tasks so that teams have time again for exceptions and portfolio management.

“Think of it as your finance-ninja sidekick,” says Asrin Yaman, Head of Domain Application Management, “streamlining, optimizing and automating accounts receivable processes in one place so teams can focus on what really matters.”







Outbound and inbound automation: strategies and AI inquiry handling

CCMT uses two engines: Strategies and AI for Incoming Inquiry Handling. Strategies is the automation engine for outbound communication. It helps every region to flexibly harmonize, streamline, and automate tasks based on customer segmentation (for example, low-volume good payers or high-volume critical customers). In action, this can look like sending periodic statements of accounts, upcoming or overdue reminders, dunning letters, and legal notices.

The second engine, AI for Incoming Inquiry Handling, is driving the inbound communication automation that classifies emails, extracts entities, and proposes action to users, all with the help of AI. And that’s not all: the system can also automatically handle confirmation receipts and prepare draft actions such as invoice copy, contact change, and payment promise, reducing the workload of users even more.

Up to 70% automation rate in cash collection

With CCMT, up to 70% of routine collection tasks are largely automated, delivering faster responses and considerable time savings. By taking over the management of more than 500,000 active customers receivables globally, finance teams can focus on exception handling, portfolio management, and strategic follow-up — activities that directly enhance cash flow and customer relationships.

Every interaction is recorded in an automated audit history, ensuring transparency and simplifying compliance reviews. AI-driven inbound inquiry handling accelerates case resolution, and flexible configuration options allow legal entities to adapt workflows to local regulations and business preferences, all without writing a single line of code or waiting on technical teams. The result is a streamlined cash-collection process tailored to your organization’s needs.









Smart partner in cash collection

CCMT combines all necessary capabilities for accounts receivable process into a single, configurable platform — that means no more juggling multiple tools or workarounds. Each Siemens legal entity can define its receivables strategy, segment portfolios, and automate common tasks, so collectors concentrate on high-priority accounts. As inquiries arrive, the AI engine refines its recommendations with every interaction. In short, CCMT isn’t just another tool, it’s a smart, evolving partner in cash collection.



1. Collections reply assistant This initiative will empower cash collectors with an AI-powered draft assistant for customer inquiries. Leveraging LLMs and Generative AI, the feature will automatically generate initial response drafts tailored to each inquiry and infused with a professional “cash collector” persona. The result? Reduced manual drafting time, consistent and compliant communication, and more focus on high-value interactions.



2. Automated invoice copy and payment promise fulfillment By combining Bionic Agent, LLMs and Pega, this enhancement will scale advanced automation capabilities within CCMT. Key functionalities include inbound inquiry handling for

a) Automatic sending of invoice copies to customers

b) Logging of payment promises, all without manual intervention



3. AI-powered customer summary Collections often involve customers with a long, complex history of communications, disputes and collector notes scattered across the tool. This initiative will introduce an AI-driven summary feature that consolidates all relevant data into a concise overview. Collectors will gain instant, holistic insight into each customer’s story, accelerating decision-making and ensuring no critical detail slips through the cracks.





Experts

INSIDE | ISSUE #1 | 2026

IFRS 16 Data Collector: lease accounting made easy





Around 43,000 contracts across 200 Siemens companies processed: thanks to the newly relaunched GBS’ IFRS 16 Data Collector, managing complex fleet leasing is now stress-free. A look at the new features. And a peek behind the scenes of the revamp.





Which lease contracts in the portfolio are new, and which are expiring? Are the master data and valuation parameters for each calculation correct? Are assets, lease liabilities, as well as profit and loss effects reconciled with the general ledger and cash flows? For Zequn Hu, accounting professional IFRS 16, month-end closing means answering complex questions. And processing Siemens Healthineers’ fleet lease data – work that demands accuracy, speed, and reliability. The IFRS 16 Data Collector is central to that workflow. And since Siemens GBS relaunched the lease accounting tool earlier this year, Zequn’s job has gotten noticeably easier.



Take data validation. The new Browse Data function lets Zequn quickly check for completeness and spot errors before they become problems downstream. “The new Data Collector is more user-friendly and more clearly structured. Key enhancements have made our work more efficient and new features have become important tools for us, for example supporting data validation,” says Zequn.

The new Data Collector is more user-friendly and more clearly structured. Key enhancements have made our work more efficient and new features have become important tools for us, for example supporting data validation.

Zequn Hu, Accounting professional IFRS 16



Small workflow improvements matter too: The system now allows cost center updates twice per month instead of once, meaning mistakes can be corrected immediately instead of waiting weeks. And when issues do arise, support from the GBS team — led by Daniela Holadová and Tereza Růžičková — is responsive and thorough. “We particularly appreciate their continuous follow-up on topics that require more time, ensuring that nothing remains open,” Zequn adds. “The improvements to the IT support platform have also made a noticeable difference.”



Centralized IFRS 16 software for 200 Siemens companies

Zequn isn’t alone. Around 200 companies across the Siemens ecosystem use the IFRS 16 Data Collector every month. Last month alone, the system processed 43,000 fleet lease contracts without a single slowdown – a volume that would have been impossible just six months ago.

The relaunch also brought other critical improvements. The tool is now modular and cloud-ready, replacing a monolithic architecture that had become incompatible with Siemens’ modern infrastructure. Different user groups – supply chain managers, accountants, and administrators – have clearer navigation tailored to their specific needs. Practical features like displaying the next upload start date help teams plan efficiently.

“We now have a modular system that can be maintained better and upgraded as needed,” says Tomáš Pořízek, IFRS 16 Global Process Manager at Siemens GBS, whose team now owns and maintains the tool. “The new architecture also improves resiliency as well as performance. Where in the past, the Data Collector slowed down when working with very large datasets, we now see hardly any slowdown at all.”

For Tomáš and his team, getting the tool back on track was a priority. “The entire Siemens world needs this tool,” he says. “It was crucial we got it right.”

The challenge: upgrading a monolithic system for modern lease accounting

The Data Collector had been in use for several years, but as the system landscape around it shifted, its performance deteriorated. Automated functions stopped working. Data quality declined. Users could no longer rely on the tool they depended on for compliance reporting.

As long-time users themselves, Tomáš and his GBS colleagues decided to step in and volunteer as the tool’s new owners. What they found was monolithic software struggling in a cloud environment it was never designed for. The team rebuilt it from the ground up, consulting users throughout the process to understand what they needed. As a result, they went way beyond just bug fixes, adding new capabilities that weren’t relevant when the tool was originally designed – like reporting whether a particular vehicle in the fleet is electric.



Future-proofing: bulk uploads and sustainability reporting

The work isn’t finished. The team is already fielding requests for the next round of features – some technical, like better bulk upload capabilities, others reflecting evolving business needs, like enhanced sustainability reporting. “With our modular architecture in place, those improvements can be implemented without risking system stability,” says Tomáš and he takes it as a good sign: “When users have a tool they can trust, they always want more.”

Expert

INSIDE | ISSUE #1 | 2026

Compliance meets innovation: Assurance as a Service as a driver for process excellence





Discover how Assurance as a Service is enhancing Risk & Internal Controls — scalable, global and end-to-end.

Trust is good, assurance is better — this is the mindset of the Assurance as a Service team at Siemens Global Business Services (GBS). The service provides independent, high-quality Internal Assessments and supports Siemens entities worldwide in strengthening Risk & Internal Controls in a consistent and reliable way.









Internal Assessments are a core element of an effective Internal Control System and are conducted within defined periods during the year. As a result, assessment activities are typically concentrated in peak phases and must be managed alongside day-to-day business. This can create additional operational pressure, especially when local capacity is limited or additional topics come up, such as budget planning. With Assurance as a Service, entities can shift assessment activities to a specialized global GBS team, ensuring independence, methodological consistency and high quality while freeing up local resources.







End-to-end support by GBS

From the initial planning to the final quality check, we support the entire assessment process

Alina Huthmacher, Manager Assurance as a Service at GBS

Based on the required expertise as well as clients’ preferences, the team selects the most suitable GBS hub, taking language and time zone requirements into account. Targeted training, methodological guidance, and quality reviews complete the end-to-end approach, allowing customers to remain focused on their focus topics.





From Concentrated Assessment phases to Continuous Assessment

GBS continuously enhances its service portfolio in close coordination with relevant governance functions. This also applies to Assurance as a Service, where assessment procedures are further refined and piloted in alignment with the responsible Internal Control Governance Owner (CF A IC) and the established Risk & Internal Controls framework.

While Assurance as a Service will continue to provide comprehensive support during the regular assessment cycle, selected innovative organizations are already exploring how assessment activities can be distributed more evenly across the year.

Saudi Arabia is a strong example of this development. What began as a small-scale, annual assessment has grown into a full end-to-end service. Building on that success, GBS launched a joint Continuous Assessment pilot: shifting from a once-a-year peak to a Continuous Assessment conducted on a monthly basis.



Benefits of Continuous Assessment



To shift away from a peak testing cycle and move toward a continuous, year-round assessment approach. This strengthens control assurance, reduces risk and aligns with a more efficient global operating model.







Initial Assessment

  • High-volume peak testing (April–June)
  • Issues detected late in the cycle
  • Remediation only after detection







Continuous Assessment

  • Monthly testing across the year
  • Immediate remediation possible
  • Automation potential once sufficient control volume and stability is reached

Moving to Continuous Assessment offers several structural benefits:

  • More balanced workload distribution across the year
  • Earlier identification and remediation of deficiencies, supporting timely risk mitigation
  • Improved control effectiveness through more frequent assessment activities
  • Sustained assessment quality, as assessors maintain continuous process familiarity
  • Reduced assessment effort for entities with dual closing requirements, as Continuous Assessment avoids the need for multiple intensive assessment phases within the year



These benefits support a more resilient assessment approach and strengthen assurance over internal controls throughout the year.

This approach has already resulted in tangible value during the pilot in Saudi Arabia: An incorrectly booked margin was discovered in October and immediately corrected. Under the usual annual cycle, this issue would likely have remained unnoticed until April — the start of the original assessment phase — meaning remediation would only have been possible half a year later!



We are highly satisfied with our collaboration with the Assurance as a Service team. In previous years, our assessment phases often coincided with local resource and time constraints, which limited available capacity. The support provided by GBS has significantly enhanced the quality of our assessments and has led us to expand the scope of our collaboration over the past two years. We are also convinced of the value of Continuous Assessment and plan to transition the evaluation of our monthly controls to a continuous approach in the coming year.

Adrian Heim (RIC-Officer, Kingdom of Saudi Arabia)



Expertise — tailored to you

The experience in Saudi Arabia highlights how Assurance as a Service supports customers beyond individual assessment phases and builds the basis for long-term collaboration. GBS continues to provide reliable end‑to‑end support during the regular assessment cycle and assists organizations that choose to complement their Internal Control System with Continuous Assessment elements.

Experts



Interested in learning more?

Reach out to our Assurance as a Service experts and take Internal Assessments to the next level!

INSIDE | ISSUE #1 | 2026

“Fragmentation hides the truth”: a conversation about customer centricity at scale





Increasing performance through ecosystems

Ecosystems unlock exponential productivity gains by transforming competition into collaboration — where diverse partners leverage network effects to deliver more value together than any single company could achieve alone.





Faster delivery, better quality, lower costs and higher customer loyalty: Connecting customer centricity with end-to-end thinking unlocks remarkable competitive advantages — but how to embed this mindset into organizational decision-making at scale? Josh Kahn, ServiceNow SVP and GM, and Sigrid Dengler, CFO Siemens GBS, have the answers.



About Josh, Senior Vice President and General Manager for Core Business Workflows at ServiceNow, is driven by a vision of unified workflows and believes AI and integrated platforms can break down organizational silos.

Sigrid is passionate about process excellence and drives transformation through automation while maintaining transparency and measurable results.







About ServiceNow

ServiceNow (NYSE: NOW) is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 80 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.

Sigrid, Josh: When you think about AI in your organization, how has it helped you move from optimizing individual tasks to rethinking entire end-to-end processes?



Josh: For a long time, AI in the enterprise focused on point optimization (for example, routing a ticket faster, accelerating an approval, automating a notification). These were useful improvements, but still incremental. You were running the same process, just with better parts. What changed for us was shifting the design point from tasks to outcomes. Take employee onboarding or a finance close. Instead of focusing on task handoffs between HR, IT, legal, and finance, AI lets us finally address the real friction between each step to create one unified workflow. When you introduce an agentic layer that can reason across systems and orchestrate the next step, involve the right person when needed, and resolve routine exceptions automatically, you move from task automation to true process transformation. Work doesn’t just move faster; the number of steps often shrinks altogether. That changes how leaders should think about AI. The question becomes: Where does human judgment actually add value, and where does it just add latency? The organizations seeing the biggest impact are the ones willing to redesign the process around that answer, not simply layer AI onto the workflows they’ve always had.

Sigrid: The mindset shift is indeed the real game-changer. We view this as an evolution: First, we upskill our people to build AI literacy and trust. We start by enhancing individual tasks, and as our processes mature, AI transitions from task-assistant to end-to-end orchestrator. This shifts the human role to strategic oversight — our experts focus on high-value exceptions and creative problem-solving. However, to get there, we need standardization. Without harmonized processes and structured data, AI cannot scale. By treating data as a product, we gain the real-time visibility needed to pivot our business model when the market shifts. And only then can an end-to-end perspective come into play.





Automation is powerful, but only if you can measure impact. How do you think about connecting automation directly to performance and outcomes?



Josh: Automation without measurement is just motion -- and that’s where platforms like ServiceNow change the conversation entirely. To get real value you have to instrument your processes - so you see cycle time, cost, quality, and experience all together. When you connect the employee experience, the workflow engine, and the underlying platform in one place, that instrumentation starts to reveal value across the enterprise in ways most companies have never had access to before. When automation is measurable, it becomes a management tool. Leaders can make smarter decisions, teams can continuously improve, and performance stops being anecdotal and starts being provable. Most organizations had the ambition, but they didn't have the connective tissue to make it visible.

Sigrid: Transparency is everything when it comes to measuring performance. With the platform, we create a solid data foundation and measurability across our operations. This enables us to conduct meaningful analysis and identify pain points clearly. What was once hidden turns into actionable insights that drive real improvement.







Often there is a tension between efficiency and customer experience. How does process efficiency improve customer centricity?



Sigrid: Yes, that tension does exist. But it’s really a matter of change management and helping people understand how customers benefit from new approaches. Automated platforms enable better transparency – and customers benefit from that. When we integrate the right tools, we can identify customer needs based on proven data rather than assumptions. By understanding their pain points through analytics, we can improve them directly. The key is bringing customers along on the journey, offering them holistic solutions, and making the benefits clear at every step.

Josh: That’s very true. The irony is that the most customer-centric organizations are usually the most operationally disciplined. When processes are clear, predictable, and automated, customers don’t feel the internal friction. They get faster answers, fewer handoffs, and more consistent outcomes.

But that only works when the enterprise is connected. If HR, IT, Finance, and Customer Operations are all running in silos, the experience inevitably breaks down in the gaps between systems and teams. The real value comes from connecting those functions on a common workflow and data foundation so work can move seamlessly across the business. Efficiency isn’t about cutting corners - it’s about removing the noise. When the enterprise operates as one connected system, teams spend less time navigating internal complexity and more time focusing on what actually matters to the customer.





Many organizations operate across fragmented systems. What changes when companies move to a more unified platform approach?



Sigrid: Unifying means scaling. When you break down silos, you free up resources that were trapped in workarounds. So, the closer an organization works together, the better it can operate. At Siemens, we have implemented the ONE Tech Company program as a collaborative approach, globally and across businesses. Only if a company moves as one, can it truly deliver.

Josh: When data, workflows, and teams are spread across systems, leaders can’t see what’s really happening. Fragmentation hides the truth. A unified platform creates a shared source of context — across functions, across workflows, across the enterprise. That’s when organizations move faster with confidence, because decisions are based on reality, not reconciliation.





As organizations scale across functions and geographies, how do they maintain quality, transparency and customer focus?



Josh: Scaling has a way of exposing every process you didn’t get right the first time. The organizations that maintain quality and customer focus as they grow are the ones that invest early — in process design, in the right infrastructure and in clear governance around what gets built and prioritized. Scaling well is about intentional design. Standardize where it makes sense. Automate toward outcomes, not individual tasks. And keep people focused on the work where judgment actually matters. The other piece is alignment. Customer experience breaks down when every function is optimizing for its own metric instead of the shared outcome. When the organization is aligned around the same result, scale doesn’t dilute quality — it amplifies it.

Sigrid: That’s where shared service organizations like GBS come in. Standardizing workflows is one of our main goals. And Siemens Global Business Services brings the knowledge and expertise to make that happen consistently across the company. When processes are standardized and shared, you protect quality and transparency — everyone follows the same playbook. And when teams are aligned on shared processes, customer focus stays strong, no matter where or how big you grow.



Experts

INSIDE | ISSUE #1 | 2026

AI Symposium: transform ideas into AI-powered tangible impact









What Transforming everyday process bottlenecks into streamlined, AI-powered workflows and uncovering scalable strategic opportunities

Effects

  • Reduces manual effort
  • Boosts the reuse of AI capabilities across Siemens
  • Drives productivity improvements across teams and business units 30+ AI use cases discovered







From what if to watch this!: how to improve productivity with practical AI solutions you can implement immediately tailored to the participant’s needs.

From requisitioning to invoice receipt and payment, completing a purchase‑to‑pay process can involve up to a dozen steps: It can be a time‑consuming and often tedious journey — frequently complicated by exceptions, manual handovers, and fragmented information across systems. These challenges highlight the need for change beyond incremental optimization.

An agentic AI solution now responds to this need through a focused, step‑by‑step approach. Rather than pursuing full automation from the start, a targeted proof of concept reduces manual effort, improves decision quality, and accelerates resolution. From sourcing decisions to documentation, the result is a pragmatic path toward true end‑to‑end process AI.



Hands-on support

This example shows how an ideal end-to-end process can help improve productivity with practical AI solutions that you can implement immediately. During their time at the Symposium, participants imagine what could be possible and then get hands-on support to realize their ideas. The Symposium’s role is to explore what’s possible, surface feasibility questions and determine the level of organizational readiness needed. Some smaller ideas may move ahead quickly. Some more ambitious ones require more time and work to get going. What stays is not only AI literacy, but the motivation to ask key questions in all kinds of processes that might be optimized through AI:

  • What is suitable for automation or orchestration?
  • What data quality, availability and standardization are required?
  • Can the solution be scaled across countries, regions or business units?
  • Is the organization ready for this change (skills, governance, roles)?





What AI can do for you

While no two Symposiums are the same, the result is consistent: helping employees remove manual steps, increase productivity, and rethink how work gets done. Participants leave with a clearer understanding of what AI can do for their processes and with the confidence to apply the same thinking to future challenges — creating ongoing momentum for AI adoption across Siemens.

“The AI Symposium was an outstanding success that brought together innovative minds to explore AI’s transformative potential and drive digital transformation across SCM”, says Patric Stadtfeld, Head of Siemens Supply Chain Management in the Americas.



Immediate and measurable productivity boost

Many business scenarios don’t need radical transformation, just a meaningful productivity lift where manual work dilutes outcomes. One example is Direct Material Analysis. Procurement teams were spending significant time on repetitive tasks: downloading SAP reports, merging files, aligning invoice and supplier data, and validating numbers.

During the AI Symposium, it quickly became clear that an automated solution would deliver fast value. The solution is nearly complete and designed to be extended to additional SAP systems over time. A single solution consolidating SAP exports can deliver a clear result—measurable productivity gains and more time for value-adding procurement work.







Strategic outlook

Since not all ideas emerging from the AI Symposium are ready for immediate implementation, some take a broader, long-term view. One concept explored how AI could, over time, enable closer collaboration between Commodity Managers and suppliers by integrating risk insights, market intelligence, spend visibility and decision support. While the potential value is significant, the idea remains in an early ideation phase. Further exploration is needed around data, system integration and operating model readiness in partnership with SCM.



Expanding the Process AI pipeline

While the AI Symposium optimizes concrete business needs and increases AI awareness, it also feeds Siemens’ Process AI pipeline. By sticking to core principles, it is an important way of providing scalable use cases that provide business value, persona-driven engagement, and end-to-end process transformation.

If impact, feasibility, data readiness, and synergy potential fit, they are mapped to existing Process AI building blocks. Through this pipeline, Process AI identifies high value opportunities, eliminates redundancies across Siemens, and accelerates the creation of reusable, harmonized AI capabilities rather than isolated pilots.

This way, the AI Symposium becomes more than an ideation workshop. It acts as a deliberate mechanism to populate, enrich, and mature the Process AI pipeline, advancing Siemens toward a scalable ONE Tech Company approach to AI-driven productivity.





Who should attend?

The Symposium is designed for teams and departments facing inefficient processes, such as repetitive manual work, frequent exceptions or fragmented workflows that limit productivity. It is also for those who want to explore how generative and agentic AI can be applied pragmatically to improve day-to-day operations, decision making, and collaboration.

What to expect?

The AI Symposium builds foundational AI understanding, helps participants recognize manual steps and inefficiencies in processes, and showcases real AI use cases. Through process mapping and hands-on ideation, hidden bottlenecks become visible and quickly turn into concrete solutions. These five pillars make it effective:

• Enablement: Build AI literacy through hands-on experimentation

• Ideation: Design-thinking workshops to uncover productivity bottlenecks

• Exploration: Secure sandbox environments for AI tool experimentation (proof of concept)

• Realization: Transform ideas into practical business solutions

• Customization: Adapt solutions to real-life scenarios and use cases



Expert





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