From prompt sprawl to governed AI: a platform approach

About this session

Most enterprise AI deployments start the same way: an enthusiastic engineer gets an API key, builds something useful, shares the key in Slack, and within six months a dozen teams are using shared credentials across forty applications with no visibility into spend, no guardrails, and no way to audit what’s being sent to external providers. This is prompt sprawl.

This session is a practical playbook for platform teams tasked with consolidating that sprawl into a governed platform without killing productivity. It covers the political and organizational dimensions alongside the technical ones, because the hardest part of this transition is usually not the configuration — it’s getting buy-in from the teams who have already built things that work.

What you will learn

• A framework for auditing your current AI footprint: finding all the API keys, all the applications, and all the providers in use before you start centralizing
• How to present the business case for a gateway platform to finance (cost visibility), legal (compliance), and engineering leadership (operational reliability)
• The migration path from distributed API keys to centralized gateway tokens without breaking existing applications
• Configuring per-team budget policies, model allowlists, and guardrails incrementally — without big-bang cutover
• How to handle teams that resist centralization: the technical path-of-least-resistance that reduces friction without sacrificing governance
• Metrics to track to demonstrate platform value after go-live: cost savings, guardrail trigger rates, provider incident mitigation

Session agenda

0:00 – 10:00 — The anatomy of prompt sprawl: a realistic portrait of a 500-person organization six months into ad-hoc AI adoption. What the bill looks like, what the risk surface looks like, and what the audit log looks like (hint: there isn’t one).

10:00 – 22:00 — The platform approach: architecture overview of a gateway-centered AI platform. How the Gateway centralizes credential management, policy enforcement, and observability. Live walkthrough of the team provisioning flow with SCIM sync from Okta.

22:00 – 34:00 — Migration playbook: how to onboard existing applications without code changes. The base URL swap, token issuance, and a parallel-run validation period. How to handle applications that hardcode provider endpoints or use non-standard OpenAI-compatible clients.

34:00 – 44:00 — Policy rollout: configuring budget policies, PII guardrails, and model allowlists in phases. Starting with monitoring-only mode (no enforcement), graduating to soft caps, and enabling hard enforcement after two billing cycles of data.

44:00 – 52:00 — Live Q&A: questions from previous sessions on handling multi-cloud provider diversity, cost attribution to cost centers, and integration with existing FinOps tooling.