For CEOs, MDs and promoters

AI is already working in my company. Who answers for what it decides?

Your teams and your vendors are already putting AI to work. LeafCraft shows you who decides, who checks and what each piece of work will cost, before it runs.

One teamYour rulesYour memoryYour budget
Product screen · example dataLeafCraft console

What's changing for you

01

AI is already in your company

Through renewals and team budgets, without a decision at your level.

02

The board will ask who answers

For a decision an agent made, the answer cannot be the vendor.

03

Your judgement is the asset

How your company decides is what competitors cannot copy. Keep it on your side.

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

No one can name the owner

When an AI decision goes wrong, the business head answers for it that day. Often nobody can say which agent made the call or who checked it.

2

The cost shows up later

AI spend arrives as one blended invoice. It is hard to tell what a single task cost, or why the price went up.

3

What you learn stays with the vendor

Your exceptions and the reasons behind each decision sit inside each vendor's tool. Change the vendor and that history leaves with them.

Why it matters now

One layer under every agent and every person.

You do not need to know how agents work. You need three answers for any decision in your company: who owns it, who checked it, and what it cost. The layer gives you those answers for every agent and every person, and keeps the record of how your company decides on your side, through every change of model or vendor.

How the layer works

What LeafCraft gives you

01

One named owner for every decision

Every task and decision has one owner, an AI agent or a person. Never just the system.

02

Cost known before the work

A cost limit is set per task, per agent and per agent type before work runs. AI spend becomes a line you can forecast and charge to a business budget.

03

Authority that is earned

An agent gets more freedom only when its record shows it has earned it. If the record shows mistakes, its limits narrow.

04

Memory that stays with you

Every decision is kept with the reasons of AI and people, on your side. It stays with you when you change a model or a vendor.

What changes for you

Today
With LeafCraft
Nobody can say how many agents run
One register, counted, each with an owner
Decisions with no named owner
One owner per decision, AI or person
Your decision history inside vendor tools
Your enterprise memory, in your environment
AI cost discovered at the quarter
Cost known before the work, per process
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. Who owns each decision your agent makes, an agent or a person, and can you name them?
  2. Can you walk me through every step of one decision, and then replay it?
  3. What will each task cost before it runs, and who absorbs it if model prices rise?
  4. If the model changes or is retired, how do you keep my results the same?
  5. Can I export the full record of tasks, decisions, approvals and escalations, any time, in an open format?

Questions teams ask

Do we need a signed off AI strategy before we start?

No. Pick one process, name who does the work, who decides and who checks, and set the limits. The rules grow from the record of that first process.

Does this mean AI replaces our people?

No. AI agents and people sit on the same team, in the same kinds of roles. Any role can be an agent or a person, and no one checks their own work.

Are we locked in to LeafCraft?

No. Your rules and records export in open formats, on demand. LeafCraft sells no agents, no models and no compute, and any agent you build on it or bring into it belongs to you.

Bring your hardest question.

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