What is a governed enterprise AI platform?
A governed enterprise AI platform is a private AI workspace with identity, access control, audit, encryption, PII detection and data residency designed in, so regulated teams can use models without leaking prompts or training a vendor’s model. Governance is the architecture, not a checkbox added after the demo.
Why most enterprise AI dies between demo and deploy
A demo takes a weekend. A system that runs the real workflow, with real data, real edge cases and real uptime, is a different discipline. That gap is where pilots stall. Closing it is the only thing Base42 does.
What has to be true in production
- Identity: corporate SSO and role-based access by role and department.
- Data: encryption at rest; client data never used to train a vendor model.
- Audit: every run, every tool call, every file.
- Egress: inference stays inside the tenant when the policy says so.
- Models: swappable. Vendor decisions are config, not surgery.
In-house team vs vendor services vs Base42
| In-house hire | Model vendor services | Base42 | |
|---|---|---|---|
| Time to start | 6–12 months of recruiting | Fast, on their stack | Senior team starts on the problem |
| What you own | Eventually, if they stay | Their model, their pricing | Code, prompts, evals, docs |
| Governance | You design it | Vendor defaults | Designed in from commit one |
| Best when | You have time and a brand ML talent wants | The job matches their model’s sweet spot this year | You need production on a stack you can run without us |
Proof, not a slide
Base42’s governed platform for BCCL, The Times of India Group, is in production for 5,000+ employees and processes over a billion tokens a week. Built in their infrastructure, owned by their team. Named walkthrough on the call; public facts on current work.
Questions
What is a governed enterprise AI platform?
A private AI workspace with identity, access control, audit, encryption, PII detection and data residency designed in, so regulated teams can use models without leaking prompts or training a vendor’s model.
Has Base42 shipped a governed AI platform?
Yes. The platform for BCCL, The Times of India Group, is in production for 5,000+ employees and over a billion tokens a week, in the client’s infrastructure.
Will this lock us to OpenAI or Anthropic?
No. The runtime is model-agnostic. Each job is routed to the model that wins the eval. Next quarter’s winner is a config change.