Graft AI
Graft AI gives AI agents a reliable way to use legacy software by turning real interfaces into stable tools.
Graft AI
What is Graft AI?
Graft AI vs Similar AI Tools
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How to use Graft AI?
- 1Identify a legacy workflow your agents need to execute.
- 2Connect Graft to the system interface (e.g., desktop app, web portal, mainframe).
- 3Map interface states to actions and define capabilities.
- 4Compile a stable contract with types, recovery, and idempotency.
- 5Deploy the certified tool to your agent runtime (e.g., MCP).
Graft AI Key Features
- Stable tool contracts with versioned schemas
- Runs completely in your environment
- Every action is auditable and traceable
- Permission-aware with least privilege access
- Drift isolation when UI changes
- Conformance bundle proving real effects
- Supports ERP, mainframes, desktop apps, web portals
Graft AI Use Cases
- Automating ERP workflows (e.g., create invoice, update customer)
- Running mainframe transactions and queries
- Automating complex desktop application workflows
- Interacting with web portals for data extraction and entry
- Integrating internal custom systems with AI agents
Graft AI Pricing & Free Credits
Graft AI currently operates on a Free, Free Trial model.
Graft AI Pros & Cons
Pros
- Runs in your environment, data stays yours
- Stable contracts that adapt to UI changes
- Granular permissions and audit trail
- No need to replace legacy systems
- Supports a wide range of legacy interfaces
Cons
- Currently in private beta, limited availability
- May require initial custom mapping for each workflow
- Learning curve for setting up complex integrations
What is Graft AI best for?
- Enterprises with legacy systems unable to provide APIs
- Teams building AI agents that need to execute real business operations
- Organizations seeking secure, auditable automation of existing workflows
Graft AI FAQ
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