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The software factory for the autonomous enterprise.

Turn business intent into governed, AI-accelerated software delivery — concept to cloud, fully traceable at every step.

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The software factoryContext, knowledge remembered, and living specs, one source of truth, feed into the software factory from above. Inside, rough, ambiguous intent travels along the line, passes the governance stamp and comes out as governed, shipped code, on its way to faster innovation: 70% faster delivery. The factory stands on governance, every change stamped.GovernanceEvery change stampedSoftware factoryAmbiguous intentGoverned, shipped codeContextKnowledge rememberedLiving specsOne source of truthFaster innovation70% faster delivery

AI made writing code faster, everything around it still isn't built to keep up.

One stage got cheaper. The rest became more expensive.

  • Before the code

    Most of the budget

    • Personas to align
    • Docs to reconcile
    • Tools to stitch

  • The code

    The part AI fixed

    • Generation is cheap
    • Minutes, not weeks
    • 10x output

  • After the code

    Most of the savings

    • Manual reviews
    • Gates and pipelines
    • Drift and rework

This isn't a model problem. It's an org chart problem.

AI-generated change has no owner — and it's bypassing the gates built to catch it.

The problem

Requirement, build and release all have a named owner. The change AI generates in between doesn't — so it skips the gate instead of passing through it. It's a missing role.

How Forge solves it

Forge makes every AI change a Work Order with an owner, a linked requirement and a checkpoint gate it can't route around. Nothing merges unstamped — and every line traces back to why it was built.

RequirementProductBuildEngineeringReview gateSecurityReleasePlatformThe gate never sees itAI-generated changeOwner: — none —Bypasses the gate

Faster generation doesn't fix what breaks after it.

Intent gets lost at handoff.

Constraints live outside the workflow.

Legacy compounds both, agents don't know what they'd break.

Forge closes that gap with:

Spec-driven

Ambiguous intent turned into evidence-linked Work Orders.

Governance

Human-in-the-loop approval on every change, before it moves.

Context

Legacy logic, architecture and intent captured as reusable Living Specs.

Ambiguous intent in. Governed, shipped code out.

Forge is the one source of truth, for every agent, coding tool, developer.

  1. Intent

    Business ask, captured verbatim

  2. Requirements

    Ambiguity resolved into testable scope

  3. Architecture

    Legacy logic mapped to Living Specs

  4. Generate

    Your AI tool of choice, spec-bounded

  5. Verify

    Evidence, tests and human approval

  6. Traceable

    Released with a signed audit trail

Full traceability — every change back to the requirement

Works with the tools your teams already use

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Windsurf
  • Jira
  • GitHub
  • GitLab

What enterprises are seeing on real projects.

  • 75%

    Lower token spend

    Context reused, not re-prompted

  • 70%

    Faster delivery

    Intent to release, measured end to end

  • 100%

    Traceable changes

    Every commit back to a requirement

Questions buyers ask, answered straight.

What is application modernization?

Application modernization is updating legacy software so it runs on current platforms without losing the business logic inside it. That can mean moving language, database, runtime or architecture. The logic encoded over decades is usually the asset worth keeping; the platform underneath it is the problem.

What is legacy modernization?

Legacy modernization is the work of moving old systems onto supported technology while preserving what they do. The risk is rarely the code itself - it is that the people who understand it are leaving, and the rules they knew were never written down.

Why do legacy modernization projects fail?

Most fail because the original intent was never recorded. Teams rewrite what they can see in the code and lose the rules that were never documented. Without a specification reconstructed from the existing system, a modernization becomes a rewrite, and a rewrite loses behaviour.

What are the steps for application modernization?

Assess the existing codebase and score its health. Reconstruct what it actually does into a specification. Design the target architecture. Break the work into ordered, verifiable units. Execute with review gates at each stage. Verify the new system behaves like the old one before decommissioning anything.

How do you calculate ROI on application modernization?

Compare the cost of running and maintaining the current system against the cost of modernizing plus running the new one. Include the cost of scarce skills, security exposure and the features you cannot ship today.

Figures needed

How do you secure AI-generated code?

Check it as it is generated, not after. A security agent inspects intent, requirements, architecture and stories as each is produced - auth coverage, secrets handling, input validation, dependency risk and compliance gaps. Findings surface while the artifact is still a document, before the code exists.

What are the eight ForgeScore dimensions?

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Answer needed

Don't buy faster code. Build the factory around it.

See what a governed AI-SDLC looks like on your own codebase.

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