You're procuring AI components you can't yet evaluate. We give you the infrastructure to verify what you're buying — before you buy it, and after you deploy it.
Government agencies procuring modular components of Medicaid Enterprise Systems face a problem no vendor has solved: AI vendors make performance claims that procurement teams have no independent way to verify. Your team understands MES modularity. You understand certification criteria for MITA and outcomes-based contracting. But when a vendor says their AI improves prior authorization accuracy by 30%, you have no standardized framework to evaluate that claim — on your population, under your policy constraints, in your regulatory environment.
This is the same problem a hospital CIO faces when a data scientist proposes deploying AI. The question isn't whether AI is useful. The question is: how do you know it does what it claims to do, safely, for your beneficiaries?
Run any vendor's AI model against standardized benchmarks before contract award. Generate independent, auditable performance reports that your team — and your federal oversight partners — can evaluate. Move from marketing claims to machine-verifiable evidence.
Once AI is operating inside your MES environment, AlignHealthcareAI enforces governance rules as executable code — not policy documents. Eligibility determinations, prior authorization recommendations, and population health alerts all operate within defined, auditable policy boundaries. Every AI action is logged, traceable, and defensible to CMS, OIG, or any oversight body.
HIPAA, 42 CFR Part 2, state Medicaid privacy requirements — AlignHealthcareAI encodes your specific compliance obligations into the infrastructure layer. Consent rules run automatically on every query. No manual compliance overhead. No PHI crosses a boundary without policy approval.
Deploy within your own government-managed infrastructure or private cloud environment. Your beneficiary data never leaves your environment. The platform is architected for zero-trust identity, cryptographic audit trails, and data sovereignty — the foundations required for federal security compliance as your program matures.
The shift to modular MES architecture creates a new challenge: when AI is embedded in a vendor module, who governs its behavior? AlignHealthcareAI sits between your MES modules and your beneficiary data — as the neutral governance layer that enforces your policy requirements on every AI interaction, regardless of which vendor built the AI.
You don't have to trust every AI vendor's internal governance. You enforce yours.
We'll show you how to generate independent, verifiable performance evidence before the contract is signed.
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