Graft AI

What it does

Graft AI transforms legacy applications, internal tools, and workflows trapped behind screens into stable, governed tools for AI agents. It observes real workflows, maps screens, inputs, transitions, and side effects, then compiles a typed schema, adapter, policy boundaries, and conformance tests. An independent witness verifies the real application state, ensuring the adapter cannot certify itself. Agents call one stable MCP tool instead of rediscovering the interface every time. When the underlying UI changes, Graft detects drift and repairs the workflow without breaking the agent interface.

Who it is for

Graft AI is designed for enterprises and departments that rely on software they cannot replace—ERP systems, mainframes, desktop apps, web portals, virtual desktops, internal tools, and custom systems. It is specifically for teams with bounded workflows that need to be automated with AI agents but are blocked by inaccessible or legacy interfaces. Use cases span finance and operations (order entry, invoice processing, reconciliation), IT and support (update systems, create tickets), supply chain (inventory, purchase orders), customer operations (resolve issues, update records), and any department with a repeatable workflow.

Why it matters

Most agent tools assume clean APIs, but the real world of enterprise software is filled with legacy systems, internal tools, and workflows that lack modern interfaces. Graft addresses this gap by creating stable, permission-aware, and auditable agent tools without requiring system replacement or API development. It ensures governed execution with approvals, audit trails, and verification, minimizing risk. The private-beta model evaluates one workflow at a time, ensuring suitability before deployment. This approach allows organizations to unlock automation in critical but inaccessible systems, improving efficiency while maintaining security and compliance.

Launch signal

Graft AI launched on Product Hunt with the tagline "Turn company operations into a living map for agents." It is in private beta, and the team is evaluating workflows individually. The website offers a workflow assessment for blocked workflows and an email waitlist for product updates. The maker is Yashas Gunderia. The launch emphasizes a security-first approach with deployment review, least-privilege design, and independent source evidence verification.

Brand and naming

The name "Graft AI" is short, memorable, and metaphorically strong—'graft' suggests attaching or integrating new capabilities onto existing systems, which aligns perfectly with the product's mission to bridge legacy software and AI agents. The domain 'graft.axcelner.com' is less ideal; 'axcelner' is obscure and hard to recall, weakening memorability. The tagline and website clearly position Graft as a tool for turning operations into a 'living map' for agents, emphasizing reliability, governance, and compatibility with legacy systems, which is a distinct and valuable niche.