For AI implementation teams and forward deployed engineers
How do I get an agent from demo to production without building the control layer myself?
Bring the agents you already have, or build new ones. Add roles, limits, sign-offs and the record in Studio, then ship with one command.
What the client defines
Up to the limit the client sets
Passes larger cases to the client's named person
The client's path, by complexity and impact
Only the addresses and fields you allow
The audit agent, or a client person. Never itself.
What's changing for you
The demo took a sprint
The control layer around it is 12 to 18 months of work nobody budgeted.
Every client wants it their way
Their roles, their approvals, their escalation, their record.
Governance is not your product
You build agents. Rebuilding guardrails per deployment is where margins go.
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
Rebuilding the control layer
Guardrails, escalation, budgets and audit get rebuilt for every agent and every rollout.
Glue code between stacks
Agents live on different platforms. Wiring them, their keys and their triggers takes longer than the agent itself.
Proving it before go-live
Risk and IT want to see it work safely before it touches real work.
Why it matters now
One layer under every agent and every person.
You get agents from demo to production, for your company or for clients. The layer is the production control plane you would otherwise build: roles, access, checks, escalation, budgets and the record, ready on day one. Connect the agent, place it on a team, set its limits, let it run. Build the agent. Not the governance.
What LeafCraft gives you
Connect what already exists
Bring agents from 40+ platforms by name, or connect any agent over A2A, MCP or a web address. Keys go into a vault, and the connection is tested when you save it.
Work that starts on its own
Start work from Kafka, Amazon SQS, webhooks, email or a schedule. Your own Python can pull in the facts an agent needs before a model is asked.
Studio and Playground
Change agents, rules, sign-offs and budgets in Studio. Try a single agent in the Playground before it touches real work.
18 templates, one command
Start from 20 ready-made agent teams with sign-offs and an audit agent in place. One command ships to AWS, Azure or Google Cloud, or run it on your own Docker or Kubernetes.
What changes for you
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 can I send it to a named checker?
- Can you replay one run step by step, with what went in and what came out?
- Can I swap the model without the answers changing, and test that on real history?
- Does it report cost per call, so I can set a limit before work runs?
- Does it connect over A2A or MCP, so it runs under my rules and leaves its record on my side?
How it helps your people
Where your peers start.
Industries
Questions teams ask
Our platform is not on the list. Can we connect it?
Yes. Connect it over A2A, MCP or a plain web address, or use a custom connector.
What if a platform does not report cost?
LeafCraft estimates the cost, so the agent's budget still holds.
Do we need a restart when a key changes?
No. Update it in the vault, and LeafCraft picks it up without a restart.
Bring your hardest question.
We'll answer it on one of your own processes, with the record to show for it.