The Intelligent Enterprise series.
Six parts on how AI agents and people become one team, and how to govern it. Written for CIOs, CFOs, business heads and the people who build with them.
The series
What is an Intelligent Enterprise?
AI and people as first-class citizens, hired into roles, both accountable, both explaining their reasoning on a record that is never erased.
Read on LinkedInPart 2Who governs your AI agents?
Your agents are live. Your rules are not. Tests for the agent you bought and the agent you built, and what the missing layer must do.
Read on LinkedInThe four things you never rent
Guardrails, cost ceiling, escalation path and the record. And why one vendor should never be the seller, the meter and the referee.
Summary on the Intelligent Enterprise pageWhat enterprise customers asked a SaaS company for
They did not ask for smarter AI. They asked for control: ownership, reasons, escalation, their own way of working and cost up front.
Summary on the Intelligent Enterprise pageHow do you put AI on your org chart?
Seven questions and seven answers. Same roles, same rules, and a 5-point check for your company.
Read on LinkedInFive things an Intelligent Enterprise is not
Five myths, and eight steps to govern a hybrid Intelligent Enterprise one process at a time.
Summary on the Intelligent Enterprise pageGo deeper
The idea on one page
Definition, five myths, seven questions, eight steps and the 5-point check.
ReadHow the platform works
From work arriving to the record, step by step, with no use case examples.
ReadProduct documentation
Deploy, templates, Studio, connectors and the API, for your engineers.
Open the docsDiscover every agent
You can't govern what you can't see.
LeafCraft connects to your ecosystem and finds every agent you run: the ones vendors shipped inside your software and the ones your teams built. Then each one gets an owner, comes under your rules, or is removed.
Glossary
Hybrid Intelligent Enterprise
A company where AI agents and people work as one team, in the same kinds of roles, under one set of rules. Hybrid means AI and people.
Agent sprawl
Agents running across the company with no named owner and no shared rules.
Shadow AI
Agents that went live before the rules were written, through vendor renewals or teams outside the IT roadmap.
Bought agent
An agent that comes inside software you buy, such as your CRM, ERP, HR system or service desk.
Built agent
An agent your own teams build, on LeafCraft or on any other framework.
Job description
What a role does, decides alone, hands off, escalates, must never touch, and who checks it. The same six things for an agent or a person.
Maker and checker
The one who does the work and the one who checks it. They are never the same teammate.
Earned authority
An agent's limit widens only when its track record earns it, and narrows when the record shows mistakes.
Escalation path
Named people, by complexity and impact: team member, manager, senior leaders.
Cost ceiling
A limit on what a task, an agent or an agent type may spend, set before work runs.
The record
Every task and decision, with the reasoning of the agent and the person, kept on your side and unchanged.
Enterprise memory
The record over time. The one part of your AI stack that compounds and survives a change of vendor.
Seller, meter, referee
Selling the agent, counting what you owe and holding the rules. One vendor should never be all three.
MCP and A2A
Open standards for connecting agents to tools (MCP) and agents to other agents (A2A).
Want the series applied to your company?
Bring one process. We'll walk it through the eight steps with you.