Interface observation
Graft observes a real workflow and maps the screens, inputs, transitions, and side effects involved in that process.
Graft AI
Graft AI connects AI agents to the software your business already runs by turning real application interfaces into stable, governed tools. It is built for teams that need agents to work inside existing ERP, desktop, web portal, and internal systems without replacing them.
Overview
Graft AI is a platform for connecting AI agents to the software your business already uses by turning real application interfaces into stable tools. Instead of replacing existing systems, it watches a workflow, learns how work moves through the interface, and compiles a governed action layer that agents can call consistently.
The site positions Graft for software that is difficult to replace, including ERP systems, mainframes, desktop apps, web portals, virtual desktops, and internal tools. It is designed to let individual agents and multi-agent systems perform tasks such as order entry, invoice processing, reconciliation, ticket updates, and record changes while staying within policy, access, and audit boundaries.
Core capabilities
Contract compilation
It turns the observed workflow into a typed schema, adapter, policy boundaries, and conformance tests so the resulting tool has a defined contract.
Source-effect verification
An independent witness checks the live application state so the adapter does not certify itself.
Stable agent access
Agents call one stable MCP tool instead of rediscovering the interface each time, reducing the need for source-system changes.
Policy and audit controls
The product applies approvals, roles, and boundaries to actions and logs them with context for later review.
Environment-bound deployment
Graft is designed to run in the customer environment, with access controls and data kept under the customer’s control.
Practical use cases
Finance and operations workflows
Finance and operations teams can use Graft to expose order entry, invoice processing, reconciliation, and reporting workflows to agents without rebuilding the underlying systems.
IT and support automation
IT and support teams can connect ticketing or internal admin workflows so agents can update systems, create tickets, and resolve requests through governed actions.
Supply chain operations
Supply chain teams can make inventory, purchase order, shipment, and vendor record workflows available to agents that need to act across multiple systems.
Customer record management
Customer operations teams can let agents resolve issues and update records across systems of record while keeping actions auditable and permission-aware.
Legacy system enablement
Organizations that rely on ERP, mainframes, desktop apps, web portals, or file-based processes can add a reliable action layer without replacing those systems.
Pros and Cons
Pros
- Works with existing software rather than requiring a replacement project.
- Creates stable, versioned tool contracts from real interfaces.
- Includes policy enforcement, approvals, and audit logging.
- Runs in the customer environment and says data stays under customer control.
- Supports agent stacks such as LangChain, LlamaIndex, CrewAI, Microsoft AutoGen, and OpenAI Agents SDK.
Cons
- The site presents the product as private beta / early access, so it may not be generally available yet.
- Public pricing, plan structure, and limits are not shown on the site.
FAQ
How does Graft AI work?
Graft AI watches a real workflow in an existing application, maps the screens, inputs, transitions, and side effects, then generates a stable tool that agents can call through MCP.
What kinds of systems is it meant for?
The site says Graft is built for software you cannot replace, including ERP systems, mainframes, desktop apps, web portals, virtual desktops, and internal tools.
How do agents connect to Graft tools?
Graft says agents call one stable MCP tool instead of rediscovering the interface each time, and the product is designed to work in the frameworks and runtimes teams already choose, including LangChain, LlamaIndex, CrewAI, Microsoft AutoGen, and OpenAI Agents SDK.
Where does data go when using Graft?
The homepage says Graft runs in your environment, keeps data behind your firewall, and does not train its models on your data.
Is there public pricing available?
The pricing page does not show public plan details or prices. The site invites teams to join the waitlist for early access.
Quick Facts
- Category
- AI agent integration platform
- Primary use
- Turning existing software workflows into stable agent tools
- Deployment
- Runs in your environment
- Access model
- Private beta / waitlist
- Website
- graft.axcelner.com
- Source URL domain
- graft.axcelner.com
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