Leadership
Leadership wants more of it, and you can’t yet say which of those agents were reviewed.
AI builders
Every builder thinks their tool is the simple one, and the process has to tell them apart.
Procurement
No one can see what the first approval covered, so the safe answer is a whole new review.
How it works todayWhat it needs to be
- How it works today
Intake spread across email, forms and tickets
What it needs to beOne front door for all teams, whatever they want to try
- How it works today
The same long review for every request
What it needs to beA short path for low stakes, the full one where it counts
- How it works today
A committee that meets once a month
What it needs to beDecisions made as work arrives, not when the agenda allows
- How it works today
A register rebuilt before each board update
What it needs to beA running record of what’s approved, in use and retired
Will my builders see this as more red tape?
Not if review fits the request. Later questions follow earlier answers, so a notes tool for internal meetings stays short while a credit-limit model gets the full review. People can raise a request from an MCP-compatible AI assistant, or from a tool discovery found, instead of starting from a blank form.
Our platforms already list our models. Why add another silo?
It draws from those platforms instead of sitting beside them. Models import from Amazon Bedrock, Azure AI Foundry and Databricks, among others, agents from Microsoft Copilot Studio, and a request becomes its inventory record as it’s filled in. People add only what an import can’t know, like purpose and owner.
If review gets shorter, do we lose the checks that matter?
No. Your team sets which questions and reviewers each kind of request gets, and a person makes every decision. Approval stages run in order, so the next reviewer hears only once the current one approves. A shorter path is a choice your team makes, not one the software makes for you.
Do we have to hand over our training data or model outputs?
No. Imports bring in a record of each model, not your training data or its outputs. Enzai holds the governance record: requests, systems, owners, approvals and the evidence your teams attach. Where you want metrics as evidence, record the ones you choose, by hand or through the API.
How soon can I show leadership what’s moving?
As soon as requests start coming through. A dashboard shows the pipeline, the approval rate and the average time to approval, and the inventory shows what’s approved and its lifecycle stage. Enzai doesn’t measure returns after launch, so pair it with the reporting your finance team already trusts.
Will risk and legal trust a faster process?
They can check it for themselves. Each request keeps its answers, its reviewers and approvers at each stage, their decisions and any conditions, with names and dates, and downloads as a report. Speed comes from fitting review to the request, not from skipping the people who sign off.
Where to start
