September Webinar
Build vs. Buy: Should You Build AI for Accounts Payable?
Why enterprise AP is one of the hardest AI problems in finance, and how to decide where your AI team should actually spend its time.
In this session, Vic.ai co-founder and CEO Alexander Hagerup walks through what nearly a decade of building production AI for enterprise AP has actually required: model orchestration, edge case handling, error compounding, inference economics, ERP integration, and the operational ownership nobody scopes in the first planning meeting.
You'll leave with a clearer answer to a better question. Not "can we build this," but "is this where our AI team creates the most value?"
What You’ll Learn:
✅ Why reading an invoice and running an autonomous AP function are different technical problems✅ The costs DIY AP projects consistently underestimate: edge cases, inference spend, latency, continuous tuning, and governance
✅ Where internal AI teams create real competitive advantage, and where they end up rebuilding infrastructure that already exists
✅ Five questions to ask before committing engineering resources to enterprise AP
✅ How other finance organizations are drawing the build vs. buy line right now
