Building with AI Augmentation: Faster, Safer Integration Work

What does AI augmentation actually look like when a real company ships with it? In this conversation, Brian Munz sits down with Andrew Purpura, CEO of Revecast, a Salesforce-native platform for revenue planning, PSA, and integrations. Rather than following the hype and doom cycles, Brian and Andy talk what's working: how prompt-to-build turned migrations that used to cost $1M into a rounding error, why human-in-the-loop means treating AI output like any other developer task (test it, review it, iterate), and a monitoring setup where Prismatic catches an integration error overnight and you wake up to a proposed fix in Slack. Chapters: 0:00 Intro 0:27 What Revecast builds (and where Prismatic fits) 3:13 Integrations and migrations, before and after AI 5:53 Guardrails, HIPAA, and realistic expectations 8:12 Human in the loop is just developer workflow 10:21 Andrew's first build: Claude Code + Prismatic docs, done in hours 13:05 Rolling prompt-to-build out to customers in regulated industries 14:03 Advice: adopt an R&D mentality, pick AI-accessible tools 16:26 Shadow AI is now a leading cause of data breaches 19:24 Being honest with your team about how AI changes their jobs 21:22 Teaching customers to fish with prompt-to-build 22:34 The self-improvement loop: monitoring → AI design session → Slack 26:13 Wrap-up Learn more about Prismatic: https://prismatic.io Revecast: https://revecast.io Music licensed via PremiumBeat ID: AIEKNVLC6EYA7D2B #ai #softwaredevelopment #saas #integrations