# Brex’s AI Hail Mary — With CTO James Reggio

Page: https://stenobird.com/podcast/latent-space-ai-engineer/brex-s-ai-hail-mary-with-cto-james-reggio
Text version: https://stenobird.com/podcast/latent-space-ai-engineer/brex-s-ai-hail-mary-with-cto-james-reggio.md
Podcast: [Latent Space: The AI Engineer Podcast](https://stenobird.com/podcast/latent-space-ai-engineer)
Published: 2026-01-17T16:00:00+00:00
Episode link: https://www.latent.space/p/brexs-ai-hail-mary-with-cto-james
Audio file: https://api.substack.com/feed/podcast/186610586/17c83ea4bd7d172bca038b6f1e1166be.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/latent-space-ai-engineer/episodes/brex-s-ai-hail-mary-with-cto-james-reggio
Duration seconds: 4406

## Resource

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter. We sat down with Reggio to unpack Brex’s three-pillar AI strategy (corporate, operational, and product AI) [ https://www.brex.com/journal/brex-ai-native-operations ], how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners [ https://www.conductorone.com/customers/brex/ ], and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies . Reggio also goes deep on Brex’s multi-agent “network” architecture, evals for multi-turn systems, agentic coding’s second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes. We discuss: * Brex’s three-pillar AI strategy: corporate AI for 10x employee workflows, operational AI for cost and compliance leverage, and product AI that lets customers justify Brex as part of their AI strategy to the board * Why SOP-driven agents beat overengineered RL in finance ops, and how breaking work into auditable, repeatable steps unlocked faster automation in KYC, underwriting, fraud, and disputes * Building an internal AI platform early: LLM gateways, prompt/version management, evals, cost observability, and why platform work quietly became the force multiplier behind everything else * Multi-agent “networks” vs single-agent tools: why Brex’s EA-style assistant coordinates specialist agents (policy, travel, reimbursements) through multi-turn conversations instead of one-shot tool calls…

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