Engineering Services / AI Platforms, Integration & Governance
AI Platforms, Integration & Governance
The shared foundation for model access, retrieval, evaluation, and observability, integrated with your systems, plus a governance model proportionate to what you deploy.
Every team is rebuilding the same foundation, and governing it differently.
One team stands up its own model access. Another builds its own retrieval pipeline. A third writes its own approval flow. None of it is reusable, so the fourth AI project costs nearly as much as the first. Governance tends to arrive late, after an incident or an audit, bolted onto systems that weren't built for it.
Shared infrastructure, with governance built into it.
We design the platform capabilities multiple AI initiatives can share: model access and routing, retrieval, security and identity, evaluation, observability, and deployment automation. Governance is built into the same foundation: intake and risk classification for new use cases, monitoring for what is in production, and clear ownership, proportionate to your actual risk.
An assessment, then a foundation built to be reused.
We review your current AI and data infrastructure, test it against where your initiatives are heading, and return a target platform architecture, an integration plan, and a governance model your teams can run. Longer engagements support the build itself, at a pace your team can absorb.
What you get.
- A platform architecture for model access, retrieval, security, evaluation, and observability.
- An integration plan for the enterprise systems your AI initiatives depend on.
- A governance and intake model matched to your risk profile and regulatory context.
- A foundation the next AI initiatives can build on, instead of starting over.
Two situations.
Organizations with more than one AI initiative underway and no shared foundation between them. Regulated organizations whose AI initiatives are moving faster than their governance.