The Hybrid Intelligent Enterprise platform

People and AI, one team. Own the rules, memory and budget.

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Why it matters now

Your agents are live. Your rules are not.

Your vendors shipped them. Your teams built them. Neither came with the rules your company runs on.

Agents you buy

They arrive with renewals

Your CRM, ERP, HR system and service desk now ship agents. They never pass your approval desk, and the decision trail stays with the vendor.

Agents you build

The agent was the easy part

A team can demo an agent in one sprint. Guardrails, test sets, escalation and an audit trail take far longer, and you rebuild them for every agent.

Your AI strategy

The strategy is still in draft

Models, prices and features change in weeks. Strategy runs in quarters. So the rules get written after the agent is already in production.

You don't need another agent. You need one layer of your own under all of them.

Govern your agents now

What it covers

Eight things one platform takes care of.

Move your mouse over a tile to see what it includes.

AI governance

Your rules, applied on every task.

  • A job description for every roleResponsibilities, decision rights, handoffs, escalation, limits and checks.
  • Access per roleEvery agent gets its own login, with the systems, actions and data its job needs.
  • Authority earned from the recordA limit widens only when the track record earns it, and narrows after mistakes.
  • Escalation by complexity and impactTeam member, then manager, then senior leaders. Silence is never a yes.
How governance works

Cost control

Know the cost before the work runs.

  • Estimated before it runsIf a task would go over its limit, it stops and asks the owner.
  • Limits per task, per agent and per agent typeChecking a refund costs cents. Reviewing a contract costs more.
  • Checked on every model callSpend stays inside what you set. No markup: you use your own model accounts.
  • Your choice of modelPick a model per agent. Switching is a config change.
How cost control works

Enterprise memory

Every decision, with its reason, kept by you.

  • Both reasons, side by sideWhat the agent did and why. What the person decided and why.
  • In your own databaseRedis or Postgres, in your environment, for as long as you set.
  • It compoundsYour agents improve on your history, and the memory survives a change of vendor.
  • Exportable on demandRules and records in open formats, without raising a project.
How enterprise memory works

Audit

Open any run and follow it, step by step.

  • Every step traced from the first runEvery agent, model, tool and hand-off. Nothing to set up.
  • Approvals on the recordWho approved, when, and the reason they gave, next to the agent's steps.
  • Cost call by callTokens and cost by agent, model and run.
  • Written onceTemplate flows end with an audit agent that writes to a log that can't be changed.
How audit works

Humans and AI as one team

Same roles, same rules, same record.

  • Any role can be an AI agent or a personAI drafts and a person refines. A person does the work and AI checks it. One agent checks another.
  • No one checks their own workMaker and checker are never the same teammate.
  • People stay where they workRequests reach them in Slack, Teams, WhatsApp (coming) or email, and their reply moves the work on.
  • Work moves both waysEither side can pass a task to the other, with the why and the how.
How the team works

Agentic OS

Build, bring and run agents from one place.

  • Build in Studio or bring your ownAgents from 40+ platforms connect over A2A, MCP or a web address and follow the same rules.
  • 20 ready-made agent teamsBuilt the way real departments work, with sign-offs and an audit agent in place.
  • Test before it touches real workTry a single agent in the Playground.
  • One command to deployAWS, Azure or Google Cloud, or your own Docker or Kubernetes. One switch stops everything.
See the platform

Bring any agent

Agents from 40+ platforms, under your rules.

  • Bought and built, side by sideLangGraph, CrewAI, AutoGen, ServiceNow, SAP Joule, Copilot Studio and more, plus your own.
  • Open standardsConnect over A2A, MCP, REST or a plain web address.
  • Fenced in by defaultOutside agents get only the fields you choose and reach only the addresses you allow.
  • Same recordA bought agent and a built agent leave the same trail as a person.
See every integration

Sovereign AI

Your environment. Your keys. Your agents.

  • Runs where your data livesYour cloud account, your VPC or on-prem, with local models if you choose.
  • Keys never leave your vaultA built-in vault or one of 14 you already use.
  • Agents you build or bring belong to youLeafCraft sells no agents, no models and no compute.
  • Nothing to leave behindRules and records export in open formats, any time.
Security and deployment

Platform architecture

One layer under every agent and every person.

Agents don't pass work straight to each other. Every hand-off between an agent, a person or a system goes through one layer that holds your rules, your memory and your budget. It sits on top of your systems, your models and your environment.

  • Agents you buy and agents you build, side by side
  • Your people in Slack, Teams, WhatsApp (coming) or email
  • Your systems, any model, your environment
How it works

Works with what you already run

Three ways to get an agent. One set of rules for all of them.

Build your own

Define agents in Studio or YAML. Start from 20 ready-made agent teams. Test in the Playground first.

StudioYAML18 templatesPlayground

Bring what you have

Agents your teams already built on other frameworks join over A2A, MCP or a web address.

LangGraphCrewAIAutoGenClaude Agent SDKOpenAI Agents SDKn8n+ your own

Buy from anyone

Agents that ship inside the software you already pay for come under your rules too.

SAP JouleServiceNowWorkdayCopilot StudioBedrock AgentCoreVertex AI+ 25 more
LeafCraftSame rules. Same checks. Same budget. Same record. For every agent, and for your people.
See every integration
Your people Slack · Teams · WhatsApp (coming) · Telegram · emailAny model OpenAI · Anthropic · Gemini · Mistral · DeepSeek · localYour systems MCP · REST · webhooks · Kafka · SQS · your own PythonYour environment Your cloud · VPC · on-prem · local models

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. Each one then gets an owner, comes under your rules, or is removed. Your enterprise memory starts from every agent, not just the new ones.

Shadow AI endsEvery agent ownedUnwanted agents removed

Why LeafCraft

One vendor should never be the seller, the meter and the referee.

The layer that holds your rules and your record decides when to switch a model, when to stop an agent and what you carry into your next renewal. Keep it away from anyone who sells you the agent.

Neutral

LeafCraft sells no agents, no models and no compute. Nothing underneath it to protect.

Yours

Runs in your environment. Agents you build here or bring here belong to you.

Open

Works with any model and any cloud, on open standards like MCP and A2A. Exports on demand.

Equal

A bought agent, a built agent and a person follow the same rules and leave the same record.

The 5-point check

Is AI really on your org chart?

Five questions every board can ask today. Answer yes or no for your company. Not how much AI. Who decides, and who checks.

0 / 5Where you stand

Tick each one you can answer yes to today.

Talk through your gapsEight steps to close the gaps

Frequently asked questions

What is LeafCraft, in one line?

LeafCraft is the platform that lets AI agents and your people work as one team under your rules, with every decision remembered on your side and the cost of every task capped before it runs.

What does "Hybrid Intelligent Enterprise" mean?

Hybrid here means AI and people, not office and home and not hybrid cloud. It is a company where AI agents and people sit on the same org chart, in the same kinds of roles, under one set of rules.

Is this about AI replacing people?

No. Any role can be an AI agent or a person. AI drafts and a person refines, or a person does the work and AI checks it. No one, AI or person, checks their own work.

Do we have to rebuild the agents we already run?

No. Agents from 40+ platforms, including LangGraph, CrewAI, ServiceNow and SAP Joule, plus your own, run under the same rules as agents built in LeafCraft. A bought agent, a built agent and a person leave the same record.

Who owns the agents and the record?

You do. Any agent you build on LeafCraft or bring into it belongs to you. Your rules and your record stay in your environment and export in open formats on demand. LeafCraft sells no agents, no models and no compute.

How fast can we start?

Start with one process. Pick one of 20 ready-made agent teams, shape the roles, rules and budgets in Studio, and deploy it into your own cloud account with one command.

Rent the capability. Own the judgement.

Bring one process. We'll show you who decides, who checks, what it costs and what gets recorded.