Date: 22.10.2025 (2025-10-22)
Thomas Fey (22.10.2025) • https://www.linkedin.com/in/thomas-fey-831764164/ • Technology Strategy & Enterprise Architecture at Accenture • Ich arbeite aktuell an einer Plattform für Geschäftsprozessautomatisierung - im Prinzip ähnlich wie UiPath oder n8n - allerdings mit einem neuen Ansatz, der Legacy-Systeme ohne API automatisch integrieren kann. Ich würde super gerne dein Feedback dazu bekommen, insbesondere aus deiner Perspektive aus deinem bei Accenture.
Context: • What are your main tasks? • • Which tools are they using? Inhouse? •
His Experience & Current Practices
• Legacy systems: does he deal with them (accounting tools, banking interfaces, HRIS, ERP)? How painful are integrations?
• Every company wants to have agents -> but companies are not able to develop their own
• Legacy software:
• Current project: most systems have APIs - bank project
• He does not have a legacy software in mind -> often there are integration layers -> often legacy systems are not the bottleneck
• Bottleneck:
• Figure out the setup of technical infrastructure which is often complex -> especially for non-standard information
• Solution: they define requirements for the people that provide APIs -> these teams solve it directly or they forward the requirements to external companies - they develop a feature request -> depends when it comes on roadmap
• Projects:
• A lot is around AI implementation -> the whole life cycle - different stages of companies:
• Data Ebene, governance
• First POCs: GenAI or other AI models
• Agents: slowly starts now - first projects (R&D divisions drive the development)
• A lot of strategy projects: legislation, audit, compliance
• It seems to be very early -> he has one project in mind where agents were actually deployed; UBS but not at scale
• Smaller projects: process optimisation for departments or parts of a company
• Tax credit and advisory
• UBS: Accenture develops the agents themselves -> they are part of the UBS team -> mix of client and Accenture teams
• Corporate: budgets are done top down -> every MD gets budget for internal and external projects -> important in cost calculation -> external is not a fix cost
• Hypothesis: general tools like n8n are too complex to set up for many processes -> important to specialise?
• In a family office RPA delivers a lot of value -> maintenance costs are high (bus factor is also real)
• His take: starre Lösungen - oft nutzen es die Leute nicht richtig -> Schattenprozesse -> is a problem (technical debt)
• Big value add: templates that cover the biggest use cases
• Top 10 use cases in finance -> fast ROI is possible
• For them as consultants it is good to have a defined solution -> ROI is important
• Day-to-day reality: What are the most admin-heavy processes in his finance role (invoices, reconciliations, reporting, payroll, compliance, audits)?
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• Is he automating today? If yes, which tools (Excel macros, Zapier, RPA, ERP features)?
• If yes: who does it? Which tools? What works? What does not work?
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• If no, why not (cost, complexity, lack of time, no clear ROI)?
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• More processes to automate:
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• Other automations from other people / departments:
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• Successes & frustrations: if he had a “magic wand,” what would he automate first?
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• Ask if he can introduce you to 3 peers in similar roles (finance leads in other startups).
• Other:
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