Commerce Conversations

What Agentic Banking Actually Looks Like, with Drew Sievers


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  • mFoundry was founded in 2003, pre-iPhone, to solve two problems: roughly 400 incompatible handsets and carriers controlling app distribution and billing.
  • The pivot that saved the business: landing Citi as a client convinced Drew to drop every other vertical and focus entirely on banking -- within a few years, mFoundry counted a third of the top 20 US banks as clients.
  • Drew's biggest career regret is moving straight into investing after selling mFoundry to FIS instead of taking time off first. His advice to his past self: take three to six months, then bet on yourself as an operator again rather than betting on other founders.
  • Near-term agentic AI in banking is landing in the unglamorous places -- fraud, AML, compliance, reconciliation, onboarding, and customer support -- because these are controlled environments where ROI is measurable and regulators are comfortable with augmentation over full autonomy.
  • Appetite is real, not just theoretical: 88% of finance leaders surveyed would allow some form of agentic AI in banking workflows, and 71% say AI-initiated connectivity now factors into which bank they choose. (flag: confirm source before publishing)
  • The long-term battleground is orchestration -- whoever controls permissions, identity, auditability, and governance across banking data captures the outsized value.
  • Reframe on AI errors: human-run banking workflows already carry 10-15% error rates, so an AI system that cuts costs in half while improving to an 8% error rate is a trade banks will make every time.
  • A $10B bank could plausibly run with roughly 50 people, per Drew -- the constraint isn't the technology (a core system is "a fairly straightforward ledger"), it's getting chartered and regulated.
  • Speed comparison: a team at Drift rebuilt a full agentic AI product in about four months, work that would have taken 18 months on a traditional SaaS timeline.
  • Drew's take on AI funding: conversations with veteran investors consistently land on "under-hyped," not overhyped, despite the volume of capital flowing in.
  • M&A dynamics are shifting -- competitive barriers to entry have collapsed, so outcomes increasingly hinge on go-to-market speed rather than product differentiation. Expect a small number of massive winners and a long tail of fast flame-outs.
  • Founder advice, delivered as a two-part rule: expect the best and worst job of your life, so stay even-keeled -- and never run out of money, because everything else is downstream of that.
  • Drew's outlook: the shift plays out over five to ten years, possibly faster, and will be decided by whoever wins the orchestration layer first.
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    Commerce ConversationsBy Commerce Ventures