# From pilot to production: The platform team's playbook for scaling AI coding agents in regulated industries

DevFeed: [From pilot to production: The platform team's playbook for scaling AI coding agents in regulated industries](<https://devfeed.tech/articles/from-pilot-to-production-the-platform-team-s-playbook-for-scaling-ai-coding-agents-in-regulated-industries-12206.md>)

Original publisher: [Read original article](<https://platformengineering.org/blog/platform-teams-playbook-for-scaling-ai-coding-agents-in-regulated-industries>)

Author: Eric Paulsen

Published: 2026-07-24T11:13:47Z

Content type: article

Language: en

Sources: [Platform Engineering Blog](<https://devfeed.tech/sources/platform-engineering-blog.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [ai-governance](<https://devfeed.tech/topics/ai-governance.md>), [observability](<https://devfeed.tech/topics/observability.md>), [shadow AI](<https://devfeed.tech/topics/shadow-ai.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [ai-adoption](<https://devfeed.tech/tags/ai-adoption.md>), [ai-coding-agents](<https://devfeed.tech/tags/ai-coding-agents.md>), [ai-governance](<https://devfeed.tech/tags/ai-governance.md>), [developers](<https://devfeed.tech/tags/developers.md>), [financial-services](<https://devfeed.tech/tags/financial-services.md>), [government](<https://devfeed.tech/tags/government.md>), [observability](<https://devfeed.tech/tags/observability.md>), [shadow-ai](<https://devfeed.tech/tags/shadow-ai.md>)

## AI overview

This article presents a platform-team playbook for scaling AI coding agents from pilots to governed production in regulated industries. It emphasizes governance, observability, production infrastructure, and controls that provide visibility into agent actions, model usage, data access, token consumption, and costs.

## Source excerpt

Scaling AI coding agents in regulated industries requires more than just successful pilots; it demands robust governance and production-ready infrastructure. Discover how platform teams can bridge the gap between experimentation and compliance by implementing observability, structured context engineering, and ephemeral workspace patterns to ensure safe, scalable AI adoption.