AI agents and people, in the same roles.
Every team has roles. Someone does the work, someone decides, someone checks. In LeafCraft any of them can be an AI agent or a person, and all of them follow the same rules.
The problem
Today, AI sits outside the org chart.
Agents with no named owner are sprawl, not intelligence. A vendor's agent works to the vendor's defaults, not your way of working. And every time work passes between an agent and a person, context gets lost.
An Intelligent Enterprise puts AI on the org chart, next to your people, in the same kinds of roles. It is not AI replacing people. It is AI and people as one team.
Mix it any way
Each role goes to whoever does it best.
AI drafts and a person refines. A person does the work and AI checks it. One AI agent checks another. Several of each on one process. Different mix, same rules.
- No one, AI or person, checks their own work.
- Every decision has one named owner. Never "the system".
- Work moves both ways, always with the why and the how.
The agent prepares the case. Your person makes the call and writes why. A separate audit agent checks the decision against your rules.
The job description
The same six things as your people's job description.
Everyone knows exactly where their authority starts and stops, whether they are an agent or a person.
Responsibilities
What do I do? The work this role owns.
Decision rights
What can I decide alone? Up to which limit?
Handoffs
What do I pass on, to whom, and why?
Escalation
What goes to my manager, then to leadership?
Limits
What must I never touch? Which systems, actions and data are mine?
Checks
Who checks my work? Never me.
How AI earns its place
Like a new employee.
- It learns your wayYour processes and your history. Not the vendor's defaults.
- It gets checkedA teammate checks every task at first, and both record why.
- It earns authorityOne task at a time, only when its track record earns it.
Where people work
Your people stay where they already are.
Requests reach only the people you name. Their reply moves the work on, under the same rules as an agent's.
Questions teams ask
Is this AI replacing people?
No. AI and people sit on the same org chart, in the same kinds of roles. Any role can be an AI agent or a person, and the mix can change as the record shows what works.
Who owns a decision made by an agent?
A named owner, AI or person, for every task and decision. Never "the system". When an agent passes a decision up, the person who takes it becomes the owner.
Do our people need to learn a new tool?
No. Requests arrive on Slack, Teams, WhatsApp (coming), email or the built-in inbox, and their reply moves the work on.
Can a person hand work back to an agent?
Yes. Work moves both ways. Whoever passes it explains why and how, and both notes are stored side by side.
Discover 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.
Explore the rest of the platform
How it works
From work arriving to the record, step by step
ExploreDiscover every agent
Find every agent you run, then own, govern or retire it
ExploreYour rules
Roles, access, checks, authority, escalation
ExploreYour memory
Every decision and both reasons, kept by you
ExploreYour budget
Cost known and capped before work runs
ExploreBring any agent
40+ agent platforms, any model, your stack
ExploreSecurity and deployment
Your cloud, VPC or on-prem
ExplorePut one process on your org chart.
We'll mark each role as an AI agent or a person, write the job descriptions with you and name an owner for every decision.