For Chief AI Officers and AI heads
Every new agent needs its own guardrails and tests. How do we scale past the first few?
The agent is the easy part. LeafCraft gives you the layer around it once: roles, checks, escalation, cost limits and the record, for every agent you buy or build.
What's changing for you
The first agent took a quarter to make safe
Guardrails, tests, escalation and an audit trail, built by hand.
The tenth agent cannot take another quarter
Scaling means inheriting governance, not rebuilding it.
Every model change restarts approval
Unless the rules, tests and record live outside the model.
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.
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.
- 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
- Pick another model for that agent
- Switching is a config change
- Test it against your own record first
- Rules, limits, owner and memory stay
What keeps you up
Pilots that stall before production
A working demo takes a sprint. Guardrails, escalation paths and an audit trail take far longer, and they are rebuilt for each agent.
Model changes undo your work
When a model changes, the tuning and tests have to run again. You then have to prove the answers did not move.
Freedom granted by an update
An agent's limits should widen because its record earned it. Not because a vendor pushed a new release.
Why it matters now
One layer under every agent and every person.
Your job is to get agents into production faster each time, without lowering the bar. The layer holds the bar: rules per agent type that every new agent inherits, a record that starts on day one, authority that widens only on evidence, and a model you can switch per agent without a rebuild. The second agent is faster than the first. The tenth is faster still.
What LeafCraft gives you
A clear role for every agent
Set the tools each agent may use, what it decides alone, where it escalates and who checks its work. Never itself.
Authority earned from the record
Limits widen when the record shows an agent has earned it. They narrow when the record shows mistakes.
Try it before it touches real work
Shape agents, rules and sign-offs in Studio, and try a single agent in the Playground first. Pick a model per agent, and switching is a config change.
Corrections become lessons
When someone corrects an agent, it keeps the lesson and uses it the next time similar work comes up.
What changes for you
Read and check documents for its process
Decide alone up to the type's earned limit
Pass larger cases on, with the reason
Process owner, then function head
Never writes to systems of record
A different agent or a person. Never itself.
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.
- Who owns each decision your agent makes, and who checks it?
- Can you replay the reasoning behind one decision, step by step?
- Can I swap the model without the answers changing, and how would I prove it?
- What does training or tuning it on my data cost, and what can it break?
- If the model gets costly or is retired, how do you keep me running?
How it helps your people
Where your peers start.
Industries
Questions teams ask
Can we use more than one model?
Yes. Pick a model per agent from providers such as OpenAI, Anthropic, Google Gemini and Mistral, through your cloud, or on your own servers.
How does an agent earn more authority?
It starts narrow, with a teammate checking its work. Its limits widen only when the record shows it has earned it, and narrow if the record shows mistakes.
Does LeafCraft sell models or agents?
No. LeafCraft sells no agents, no models and no compute. 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.