Miso lets a health system use more AI, from more vendors and model providers, without making each new use case a separate privacy, security, contracting, and engineering project. The system decides once which teams and vendors may use which models, for which purposes and data; Miso enforces it on every request. Runs in your cloud. OpenAI-compatible.
A clinical team prototypes against OpenAI. A vendor arrives using Anthropic. Another department wants Bedrock. Privacy, Security, and Legal answer versions of the same questions each time, and the projects wait.
Miso turns those answers into routes: who may call which model, with what data, under which agreement. A route is approved once and enforced on every request after that. The next project inherits the decision.
Reuse approved infrastructure in place of reviewing every project from scratch. A developer gets one endpoint and a list of the models they may call; the institution's policy decides what is behind it.
Decide once what AI may do, then enforce it across applications and vendors. Fewer independently built AI data paths, fewer credentials in circulation, one place to apply the controls. Agreements become part of the execution path: this BAA covers that provider, so this route exists.
Which AI systems are in use, which models they call, what they are allowed to do, and whether actual activity matches the approval, recorded as it happens rather than assembled afterwards from surveys and tickets.
A budget by application, department, and route, enforced before each request is sent. A forecast of next month's spend while there is still time to change it, with the lever behind each number.
The developer makes a normal model call. Miso checks the caller, the purpose, the data, the model, and the agreement, then either sends the request or refuses it. Either way it keeps the evidence.
Synthetic examples. Model names illustrative.
"Give me the endpoint and tell me what models I can call."
That is the whole developer experience. Once a route is approved, the team gets an endpoint and a key and writes ordinary model calls. Which provider is allowed, how PHI is handled, which agreement applies: the institution has already decided, and Miso carries the decision behind the endpoint.
From advice to enforcement.
Today Privacy says "you may use this provider for this purpose under these conditions," and then relies on the application team to do it correctly. With Miso the approval is a technical boundary: if an application is not permitted to send PHI to that model for that purpose, the request does not go. The record shows each request against the approval that covered it.
Innovation wants to move. Privacy and Security need to slow things down enough to understand the risk. Today that is settled project by project, and each application has to be trusted to implement the answer correctly. Miso puts the answer in one shared path, so an approval is reused rather than reconstructed, and Privacy can say yes more often because saying yes no longer depends on every application getting the rules right.
Miso closes the gap between the policy the health system approved and the AI activity actually occurring.
Each AI vendor arrives with its own model stack and its own downstream dependencies. Give an approved vendor a Miso endpoint. Their application uses the models and providers your health system has already approved, under your agreements and your controls. They never hold your provider credentials, and the vendor's AI activity shows up in the same record as everyone else's.
Patient Maria Alvarezname removed, DOB 03/14/1961age 65, MRN 44810-2mrn removed, presents with worsening dyspnea on exertion over two weeks. Reports orthopnea; denies chest pain. Started on 05/02/2026~4 months ago on furosemide 40 mg.
Synthetic example.
For the applications and vendors routed through Miso, the inventory updates itself from traffic: who is using which models, for what purpose, under which approvals. The privacy officer sees what needs a decision. A builder sees their own applications, spend, and denials.
The EHR vendor, the AI vendors, and the model providers are all moving to consumption pricing. Miso checks each request against its budget before sending it, and the record it keeps is enough to forecast next month by department. AI spend
The gateway and the policy store are deployed within your cloud account, so model credentials, governance configuration, and audit records remain under your organization's administrative control. Nothing leaves through Miso unless a route says it may.