Case study 03 · AI SaaS
Rescuing and rebuilding an AI platform
The challenge
An innovative AI company lets organizations define brand-voice and behavioral guardrails for AI. Two vendors had already built versions of the product, and neither was a foundation the business could grow on.
Our approach
We took over the codebase and infrastructure, stabilized operations and documented what mattered. Then we rebuilt the platform from scratch on a hardened foundation, without interrupting customers.
The new platform supports multiple AI models, retrieval over customer documents, nested organizations with role-based permissions, and an MCP server that lets AI assistants apply guardrails directly.
Where our experience mattered
- Took over the codebase and stabilized operations
- Re-architected and rebuilt the platform on a hardened foundation
- Designed multi-model AI, retrieval and agent connectivity
- Delivered continuously as the product and customers grew
Outcome
A stable, scalable AI platform, with years of continuous delivery since the takeover.
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