For COOs and supply chain heads

What happens when an agent changes a PO or a supplier order at 2am?

Agents now touch demand plans, purchase orders and stock. LeafCraft sends large or unusual changes to the right person, and nothing moves on silence.

One teamYour rulesYour memoryYour budget
Product screen · example dataLeafCraft console

What's changing for you

01

Agents change orders while you sleep

Planning and procurement agents act on POs, schedules and shipments at night.

02

A wrong change is cash and capacity

One over-order, one wrong cancellation, one reroute: each is working capital.

03

Partners bring their own agents

Suppliers, carriers and 3PLs now act on your operation through agents you did not build.

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

An agent changes an order

A purchase order or supplier order changed by an agent can cost real money. Someone must own that call.

2

Every problem lands with one person

Small and large exceptions land in the same queue. They should go by complexity and impact to the right level.

3

Failures that loop all night

A failing step that retries for hours runs up cost and hides the real problem until morning.

Why it matters now

One layer under every agent and every person.

You need agents to act at night and you need to know they stopped where they should. The layer sets what each agent may change alone, what waits for a named person, and what happens when nobody answers in time. It fences in partner agents and records every change, so the morning starts with a record, not a surprise.

How the layer works

What LeafCraft gives you

01

Escalation by complexity and impact

Routine changes stay with the team member. Larger or unusual ones go to the manager, then to senior leaders.

02

Silence is never a yes

If the person you named does not reply in time, the work moves to the backup you named.

03

Failures stop safely

A step that keeps failing is stopped and handed to a person. One switch pauses the whole operation until you resume.

04

Work starts from your systems

Agents pick up work from Kafka, Amazon SQS, MQTT, webhooks, email or a schedule you set.

What changes for you

Today
With LeafCraft
Night changes found in the morning
Above the limit, the agent waits. Silence is never a yes.
Failing agents retrying all night
A failing step stops and asks a person
Partner agents acting on your orders
Fenced in and recorded like your own
Change costs discovered at month end
Known before each run, capped per agent
Silence is never a yesEstimated before it runsNothing erased after it's written
Decision request in Microsoft Teams · 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 a change your agent makes to a PO or supplier order, and can you name them?
  2. Above what amount does your agent have to ask a person, and who sets that limit?
  3. What happens when the person who should approve does not reply in time?
  4. Can you replay one changed order step by step, with the reasons?
  5. If the model changes, how do I know the agent still plans and orders the same way?

Questions teams ask

Can a person do the work and an agent check it?

Yes. Any role can be an AI agent or a person. A planner can build the order and an agent can check it against demand and stock.

Can we stop everything at once?

Yes. One switch pauses the whole operation across every server, including work in progress, until you resume.

Do our planners need a new tool?

No. They get requests on Slack, Microsoft Teams, WhatsApp (coming soon) or email, and their reply moves the work on.

Bring your hardest question.

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