The product
AI Gateway sits between every application calling a model and the models themselves. It routes traffic across providers - OpenAI, Anthropic, Bedrock, self-hosted - by cost, latency, and policy. It enforces per-team spend caps. It logs every call with tokens in, tokens out, and the policy applied. When procurement asks where the AI budget went, Gateway tells them. When a provider quietly deprecates a model, Gateway swaps without a code change. It is the control plane you wish you had put in front of the pilot before it grew into four production systems.
Why Healthcare is different
Healthcare moves at the speed of HIPAA, the 21st Century Cures Act, and the FDA&apos,s Software-as-a-Medical-Device framework. Patient data never leaves the privacy boundary without a business associate agreement in place. Clinical AI that influences diagnosis is regulated as SaMD and needs a pre-market review, post-market surveillance, and a quality management system. Admin AI - prior auth, coding, claims - is less regulated but more consequential to margin. The CISO wants PHI scrubbed before a prompt touches an external provider. The compliance officer wants an audit log that can reproduce any output given the input and the model version. The CMO wants to know the model was evaluated against the population it will serve, not a benchmark set from another country.
How Gateway plugs into healthcare reality
In healthcare, AI Gateway enforces the PHI boundary at the policy layer. Requests flagged as containing patient data route only to providers under a signed BAA or to self-hosted infrastructure inside the privacy boundary. Requests from admin workflows route to cheaper public endpoints. The gateway is the one place the CISO audits to verify no PHI ever crossed a non-BAA boundary - a claim you cannot make confidently when every microservice calls the model API directly.
From proof-of-concept to production
Most healthcare AI projects die between the pilot demo and the first regulatory review. The demo proves the model can do the task, the review asks whether the system will do it the same way a year from now, whether the audit trail survives a schema change, and whether the vendor will be around to sign the control attestation.
Gateway answers those questions by design. Policies are versioned in source control, not hidden in prompts. Audit trails are first-class artifacts, not log scraps. Governance is a platform feature, not a tab in a spreadsheet. When your healthcare compliance team meets the system for the first time, they see what they already recognize: a register entry, a validation doc, and a violations feed they can query.
Next step
The fastest way to know whether Gateway fits your healthcare stack is a 90-minute architecture review. You bring the architecture and the three hardest questions. We bring the deployment patterns we have seen work. The output is a written findings doc - not slides - that your team can use whether or not you end up working with us.
Next step
Map Gateway against your stack in 90 minutes.