Secure AI Enablement
Your team wants to put modern AI to work on your data. Security, privacy, and compliance need to know the PHI never moves and the model never leaks. Both can be right. We stand up HIPAA-eligible cloud AI inside your own walls, with no-copy, authorized-view access, so your team adopts AI without the review stalling for a year. It is the same approach whether you run a research division or a two-person analytics team.
Book an enablement reviewThe bottleneck is governance, not the model
The technology is rarely the hard part. The hard part is getting a HIPAA-covered environment past security, privacy, and a review process that has never approved a generative model. That is the work we do, and it does not take a big team or a research mandate to get there.
AI inside your walls
HIPAA-eligible cloud AI (Vertex AI or Bedrock with PHI guardrails) provisioned inside your own account and identity perimeter, so your team gets modern models and the data never leaves your control.
No-copy, authorized-view access
Instead of copying PHI into yet another system, we use authorized views, policy tags, and in-place query, so models reach the data where it already lives and security has far less surface to clear.
Built to clear the committee
We deliver the governance and model-risk language that AI review committees actually require, turning the SOW itself into a reusable playbook, so the bottleneck moves from "no" to "approved."
From a stalled review to a platform your team can use
- A HIPAA-eligible cloud AI environment (Vertex AI or Bedrock) with PHI guardrails, provisioned inside your own account and identity perimeter.
- No-copy, authorized-view PHI access (policy tags, row- and column-level governance, in-place query) so models reach the data without creating new copies.
- A cost-bounded architecture (governed model access and usage controls) that keeps a capable environment in the low four figures a month, not an open-ended cloud bill.
- The governance and model-risk language framework that clears AI review committees, reusable across teams, departments, and partners.
- A reusable enablement playbook, validated on a first use case before extending to new teams and partners, so the first approval becomes the template for the next ten.
Delivered inside your environment and documented so your team runs it, not a managed service you depend on us to operate.
Metrics it moves
- Time-to-data for your team
- AI use cases shipped
- Governance and security clearance
- Platform cost
- Vendor consolidation
Typical path: an Advisory AI and cloud strategy engagement into Delivery to build the environment, with AI Governance & Compliance running alongside.
Proof, measured and caveated
One example, from an enterprise health system that stood up HIPAA-eligible AI for its analytics and research teams, validated on a first use case before extending to partners. The same architecture fits whether you are a large system or a small analytics group. Figures describe the delivered build, not a guarantee for any single environment.
The environment was provisioned inside the client's own cloud account with PHI guardrails and no-copy, authorized-view access, validated on a first internal case before extending to academic and research partners. The cost figure is the steady-state target for a lean footprint and scales with usage. The governance framework from the original SOW became a reusable playbook for clearing AI review committees, which is the part that usually decides whether AI ships at all.
Give your team AI the committee will approve
Tell us what your team wants to build and what your governance process requires. We will scope an enablement review and a path to a HIPAA-eligible environment your committee can clear.