For CIOs, CTOs and IT heads

Vendors shipped agents and my teams built others. How do I govern all of them from one place?

Agents now arrive with renewals and inside business unit budgets. LeafCraft puts every agent, bought or built, under one set of your rules, in your environment.

One teamYour rulesYour memoryYour budget
Product screen · example dataLeafCraft console

What's changing for you

01

Agents arrived through two doors

Vendors shipped them in renewals. Teams built them in sprints. Neither asked IT.

02

Every platform governs its own

Five vendors, five consoles, five rulebooks. Nobody governs across them.

03

Governance that is rebuilt per agent does not scale

Guardrails, tests and escalation written once per agent is a permanent team.

Two risks the layer removes

The agents you can't see, and the model that gets retired.

Agents you don't know about

In your company, agents arrive through vendor updates and team pilots. LeafCraft finds all of them, gives each an owner, and brings it under your rules or removes it.

How discovery works

A model that gets retired

An agent built straight on one model has to be rebuilt and re-approved when that model is retired or repriced. On LeafCraft you switch the model for that agent in config and keep everything else. Months and a budget, saved.

Agent tied to one model
  • The model is retired or repriced
  • Prompts, tests and sign-offs rebuilt
  • Months of work, a new approval cycle
  • The history stays with the old tool
MonthsA rebuild budget
Agent on LeafCraft
  • Pick another model for that agent
  • Switching is a config change
  • Test it against your own record first
  • Rules, limits, owner and memory stay
HoursNo rebuild
TimeHours to switch, not months to rebuild
CostNo rebuild budget, no new approval cycle
MemoryThe record carries over to the new model
Your choice of model

What keeps you up

1

Agents that never passed your desk

Renewals ship agents into your CRM, ERP, HR system and service desk. Teams pilot their own copilots outside the IT roadmap.

2

A control layer for every agent

Each new agent needs guardrails, tests, an escalation matrix and a way to change the model. Rebuilding that for every agent does not scale.

3

Governance that covers one stack

Some tools govern only the agents built on their own stack. Others ask for keys to every system you run.

Why it matters now

One layer under every agent and every person.

You are asked to govern agents you did not choose, built on platforms you do not own, by teams that did not ask. The layer sits under all of them: one register, one set of rules, one record, in your environment, for agents from 40+ platforms and your own. Govern once. Apply everywhere.

How the layer works

What LeafCraft gives you

01

Bought and built, same rules

Agents from 40+ platforms, or any agent over A2A, MCP or a web address, run under the same rules as agents built in LeafCraft.

02

Access limited to the role

Every agent has its own login with its role's access. It uses only the tools, systems and actions you list.

03

Runs in your environment

Run it in your cloud account, your VPC or on-prem. Run records sit in your own Redis or Postgres.

04

Change the model, keep the record

Pick a model per agent, and switching is a config change. The record of past work stays where it is.

What changes for you

Today
With LeafCraft
Governance per platform
One set of rules across every platform
Agents on shared service logins
Own login per agent, access per role
A control layer rebuilt per agent
Built once, inherited by every new agent
Records spread across vendor consoles
One record in your database, exportable
Silence is never a yesEstimated before it runsNothing erased after it's written
Product screen · example dataLeafCraft console

Ask any AI agent vendor

Five questions for your next vendor meeting. They are the ones your auditor and your board will ask you. Ask them first.

  1. Does your agent follow my rules and approval levels, or yours?
  2. Which model and version does it run, and can I swap it without my results changing?
  3. Where does the decision record live, and how long do you keep it?
  4. Does your agent get its own login with only its role's access, or does it borrow someone else's?
  5. Can I export my policies and records in open formats, on demand, without raising a project?

Questions teams ask

Do we have to rebuild the agents we already run?

No. Connect them from the 40+ platforms on the list, or over A2A, MCP or a web address. They run under your rules as they are.

Where does LeafCraft run?

In your own cloud account on AWS, Azure or Google Cloud, in your own Docker or Kubernetes setup, on-prem, or hosted by us.

How are keys and secrets handled?

Keys live in a vault, ours or one of 14 you may already use. LeafCraft will not start if a key is typed into the config.

Bring your hardest question.

We'll answer it on one of your own processes, with the record to show for it.