Silke Mittnacht

Date: 16.10.2025 (2025-10-16)

Silke Mittnacht (16.10.2025) • https://www.linkedin.com/in/silke-mittnacht-49312880/ • Pitch: • Pitch: • Problem: most companies work with legacy software without or only bad APIs - that prevents automation
• Solution: Tool that can automate processes with legacy software more reliable than in the past by defining workflows and monitor them with AI as a supervisor • Self healing procedure - multiple sessions with orchestrator • Built in functions like analysis of PDFs/OCR or simple data analysis of Excel • Example use case: • Invoice -> purchasing order -> supplier check - all across sites in real time • Live order tracking: log into logistics portal for real time information

Questions: Context: • What are your main tasks? • • Team size and which roles? • City: 16k Einwohner • Würth has their HQ there • Berner • Ziel Abeg • Ventilatoren Valley • Kommune a lot of budget • 450 employees - relatively large -> almost half work in kindergarden • Rathaus: 70 to 80 people • Leiter Stadtbauamtes • Baurechtsbehörde • Städtischer Hochbau • Gemeinsamer Gutachterschusses • Das Amt has aronud 15 people -> 5 Ämter • Bürgeramt, Ordnungsamt, • Tiefbau ist ausgegliedert -> städtischer Eigenbetrieb & Verkehrsbetrieb • Which tools are they using? • Citrix -> log in -> programmes are managed there • They are managed by Komm1 • Outlook: Word, Excel and Co. • Data is saved in Documea • Mitarbeiterapp -> internal communication & Handbücher • OneCloud -> SAP & Sitzungsmanager SW • MPS: Bauhofaufträge für Bauhof • Aida für Zeiterfassung & Urlaubsanträge

His Experience & Current Practices • Day-to-day reality: What are the most admin-heavy processes in his finance role (invoices, reconciliations, reporting, payroll, compliance, audits)? • Grundstücksverkehr: Abgleich Schreiben -> automatic Prüfen von Vorkaufsrecht • Aufträge die man raussendet -> immer wieder mit Templates • They use ChatGPT a lot - only AI solution they use atm. • Prep for Sitzungen, Posting SM, PR Mitteilungen • Kostenfortschreibungen -> flag if they go above budget • AI Protocol for call she liked (online meeting) • Check of Pläne -> flag problematic stuff • Datensatz filtern -> search support for certain addresses to look back in time • AI Search to filter through the whole data set • GDPR: someone wanted to have info on all data that is stored about them • Access rights are important to respect -> Personalakten are protected • Bürgerbüro has a lot of processes online • Probably not really a potential • Check the message she sent on LinkedIn in the group with Hannes • Förderanträge stellen • Kfw Förderung -> a lot of calling with the bank -> a lot of work to fill the forms • Verwaltung -> Papierkrieg is a problem -> has to digitised • Viele Kommunen digitalisieren nicht • Compare that all Aufträge are hinterlegt in SAP vs. some folders • They think about getting Stackfield -> another tool • Projectmanagent-Tool • She sees the pain that tools are not connected • 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? • • If no, why not (cost, complexity, lack of time, no clear ROI)? • • More processes to automate: • • Other automations from other people / departments: • • Legacy systems: does he deal with them (accounting tools, banking interfaces, HRIS, ERP)? How painful are integrations? • • Successes & frustrations: if he had a “magic wand,” what would he automate first? • • Ask if he can introduce you to 3 peers in similar roles (finance leads in other startups). • Other: •