Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

AI intake and review

Review new AI before launch.

Review new AI before launch.

With each request drafted by AI.

With each request drafted by AI.

Teams describe a new AI tool or use case, or hand Enzai a document, and AI drafts the request for them to check. You choose who signs off, and each approval stage records its decision.

Teams describe a new AI tool or use case, or hand Enzai a document, and AI drafts the request for them to check. You choose who signs off, and each approval stage records its decision.

Each team reviews new AI its own way.

Each team reviews new AI its own way.

Each team reviews new AI its own way.

Channels

Requests start anywhere

Requests start anywhere

One team emails legal, another asks in chat. What gets checked depends on who they asked first.

Ownership

Approval falls between teams

Approval falls between teams

Legal assumes security approved it, and security assumes legal did.

Proof

Decisions live in inboxes

Decisions live in inboxes

The yes is in one email and the conditions are in another. A year later, both are hard to find.

Requests follow the path you set.

Requests follow the path you set.

Requests follow the path you set.

01

Request

01

Request

Describe the idea. AI drafts the request.

Attach a document or write a few lines, and Enzai’s AI agent drafts the answers

Draft the whole request at once, or one step at a time

Every answer AI writes is marked for the requester to check before they submit

02

Route

02

Route

Send it through your own steps.

Turn steps on or off to match how you review

Choose who reviews each step and how long it should take

Emails tell each reviewer when it’s their turn

03

Decide

03

Decide

Approve, reject or set conditions.

Approve in full, or approve with restrictions

Conditions, like internal use only, are saved with the decision

Download the request as a report, with each decision and condition

01

Request

Describe the idea. AI drafts the request.

Attach a document or write a few lines, and Enzai’s AI agent drafts the answers

Draft the whole request at once, or one step at a time

Every answer AI writes is marked for the requester to check before they submit

02

Route

03

Decide

The form follows the answer.

The form follows the answer.

The form follows the answer.

Question

Will it inform decisions about people?

No
Yes

Which decisions will it inform?

Will a person review each outcome?

How can someone challenge a result?

Why it matters

The assistant that drafts your newsletter can also screen job applications, and that second use is on the EU AI Act’s high-risk list.1 Under the Act, putting a tool to a use like that can make you its provider in law, with a provider’s duties.2 Same tool, different risk. Review the use.

Questions buyers ask

Questions buyers ask

Questions buyers ask

What is AI intake and review?

AI intake and review is the process an organization uses to collect proposals for new AI tools and use cases, check them against its policies, and have the right people approve or reject them before they go live. It gives requests one way in and leaves a record of what was decided.

Can AI draft the request for the requester?

Yes. Requesters attach documents or write a few lines, and Enzai’s AI agent drafts the answers, for the whole request or one step at a time. It also reads answers already given on the request’s other forms. Every answer it writes is marked for the requester to check before they submit, and it runs on the AI model your organization connects.

Who can raise a request?

Anyone you give access to can raise a use case request in Enzai, and your governance team can raise one on someone’s behalf. A request can also start from a tool that AI discovery finds, or from an AI assistant through the Enzai MCP server.

Can we use our own forms and steps?

Yes. You shape the questions in Enzai’s form builder, turn steps on or off and choose who approves at each stage. Changes apply to new requests, not to ones already in progress.

How does a request reach the right reviewers?

Each step can have default reviewers, and approval stages run in order: the next stage hears about a request only once the current one has approved it. Approvers can be named people or whole groups, such as your privacy team.

What happens after a request is approved?

It’s already in your AI inventory, added while the request was being filled in, with an approval status that shows the decision. From there, it can be assessed against the frameworks you follow.

Can we show an auditor what was decided?

Yes. A request keeps its answers, the reviewers and approvers at each stage, their decisions and any conditions, with names and dates. You can download it as a report.

Say yes to new AI.

Say yes to new AI.

Say yes to new AI.

With every condition written down.

With every condition written down.

With every condition written down.

Book a demo and we’ll show you a new AI request drafted from a document and taken through to a final decision.

Book a demo and we’ll show you a new AI request drafted from a document and taken through to a final decision.