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Everyone says AI agents are about to run your back office unattended. The research — and a day in the life of a construction finance software founder — says something more useful and a lot more specific.
In this solo episode of Finance at the Jobsite, host Rishi Srivastava (founder of Beiing Human) gives the honest version of where AI agents genuinely help in construction accounting and where they fall on their face. No slideware — these are tools he runs every day, backed by two pieces of research: Meta's GAIA-2 benchmark and CFAgentBench
https://arxiv.org/abs/2606.22000
, a new paper from his team testing agents on CFO-grade work.
What you'll learn:
Why the best AI agent completes only ~42% of everyday tasks start-to-finish — and why "on a clock" is where they fail hardest. The plan-act-observe-feedback loop that makes an agent auditable and trustworthy. Live look at two workflows that work today: creating a Viewpoint Vista job from an award email, and automating a dreaded ERP data migration. Why reliability collapses from ~66% (one try) to ~38% (five times in a row) — and why you should demand the "five in a row" number, not the demo number. How MCP ("USB-C for AI") is dissolving vendor lock-in and turning your finance systems into places agents can act, not just read. Why human-in-the-loop isn't a weakness — it's the architecture that survives an audit.
Real questions from CFOs, controllers, and ERP partners throughout, plus where this is all headed in the next year.
Whether you're running the numbers, leading the team, or designing the systems that keep projects moving — this is your place to learn what's working, what's broken, and what's next in construction finance.
Listen on Apple Podcasts or Spotify or Audible, or watch on YouTube — just search Finance at the Jobsite.
