Marc Vendramet

Date: 30.10.2025 (2025-10-30)


Marc Vendramet (30.10.2025) • https://www.linkedin.com/in/marc-vendramet/ • Senior Data & AI Analyst at Unit8 • HSG & Campus Events Team at START 2016 • Ich arbeite gerade an einer neuen Idee - nämlich einer KI-basierten Integrationsplattform, die sich direkt mit Legacy-Software verbinden kann - selbst mit Systemen ohne APIs - und dadurch stabile Echtzeitdatenzugriffe ermöglicht. • Klar! Sehr coole Idee. Ich habe so etwas ähnliches tatsächlich schonmal selber als Idee mit einem Kollegen besprochen der im SAP Umfeld tätig ist. • Pitch UI as API idea

•	What is their focus as a company? What is a typical customer problem? 
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•	Legacy systems: does he deal with them (accounting tools, banking interfaces, HRIS, ERP)? How painful are integrations?
•	Automation vs. data access 
•	API for data transfer and APIs for execution of tasks 
•	They build at a data platform (Databricks) at a large international company 
•	Biggest bottleneck: you have to copy data from the legacy system -> dump in Amazon S3 bucket -> then it is easy 
•	Data ingestion is the biggest pain point
•	Solutions: 
•	Either hyperscaler help Data Fabric at MSFT
•	Market place -> people can develop their own connectors 
•	Also: Airbite
•	Systems w/o API: you have to connect to DB
•	APIs are often not the holy grail -> if there are no APIs -> either you build one or via DB
•	Everytime you copy data -> load on system (e.g. SAP) -> problem -> overload 
•	They mostly build pipelines -> e.g. scheduled (e.g. one time per day)
•	RPA:
•	No use at all -> solution of last resort -> via UI 
•	E.g. when there is an export function
•	Palantir, Celonis, Databricks -> they use different technology - they do a lot of Palantir Foundry, Databricks, Azure
•	Foundry is very good -> complete all in one - a lot of connectors, pipelineing tool, web app tool, dashboarding tool - neat integrations
•	UI as API
•	UiPath, BluePrism -> they will go crazy to agentic approach 
•	Accounting: 
•	No real projects 
•	Agrees that it is an area where a lot can be done 
•	Often SAP -> Rechnungseingang und Verbuchung
•	Legacy SW SAP he looked at himself to found: 
•	Banks have mega legacy software for very specific thing -> nobody wants to change them, but very expensive 
•	They thought: What are the common tools and rebuild them cheaper 
•	How much focus on automation and agents already? 
•	Task at customers: 
•	Process level analytics: Sales dashboards, data for Sales dashboard, KYC, Kreditvergabe 
•	Automation: 
•	So far they did not do that - but now with agentic wave
•	Enterprises very early - governance issue - no really established players -> difficult to commit to agents 
•	Do they work in finance / accounting area? 
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•	Hypothesis: general tools like n8n are too complex to set up for many processes -> important to specialise? 
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•	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).
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•	Other: 
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