Forge is the system for test automation

Turn business workflows into
reliable, reusable test automation.

Forge helps QA teams deliver reliable automation faster by turning business workflows into reusable test assets. Reduce dependence on scarce framework specialists, repair application changes once instead of across dozens of scripts, and give release leaders clear evidence of what is ready to ship.

No vendor lock-in. Your automation remains yours.

Built for QA managers

More reliable automation. Less time waiting, rebuilding, and explaining.

Forge turns application knowledge into reusable automation assets so your team can deliver coverage sooner, maintain it with less effort, and make better release decisions.

01

Build coverage sooner.

Move a well-defined business workflow from discussion to an executable test flow in the same delivery cycle—not after months of framework work.

02

Repair once, not everywhere.

Update shared screen behavior once, then reuse that correction across the tests that depend on it.

03

Reduce the specialist bottleneck.

Let more of the QA and product team contribute without requiring everyone to become a Java, Cypress, Playwright, or C# expert.

04

Diagnose failures faster.

Keep the screen, data, business scenario, test flow, and execution result connected in one place.

05

Make release risk visible.

Show which customer journeys are protected, what passed, what failed, and what needs attention before a release.

Built without vendor lock-in

Your automation. Your environment. Your code.

Forge helps your team create and organize automation, but it does not trap that work inside a SaaS platform. Publish the generated code to your own Git repository and run it in your own environment. If you ever stop using Forge, the automation your team created remains yours to keep, maintain, and run.

Two domains. One outcome.

How Forge connects them.

Forge connects the technical model of the application with the meaningful business data that exercises its rules—so your team can test the decisions that matter, not simply the clicks.

Forge infographic showing the technical domain that maps application interaction and the data domain that creates business scenarios, both driving outcomes such as approval, denial, referral, and conditional decisions.

The challenge

Why test automation becomes slow, fragile, and hard to trust.

Most QA teams already have testing tools. The problem is that creating, maintaining, and understanding automation still takes too much time—and too much knowledge is held by too few people.

01

One application change can break dozens of tests.

When each test contains its own knowledge of screens, buttons, and navigation, a small UI change forces the team to find and repair the same issue in many places.

02

The work waits for the few people who know the framework.

If automation depends on Java, Cypress, Playwright, C#, or another specialized stack, progress stops whenever the right specialist is unavailable.

03

Different people build the same test in different ways.

Without a shared pattern, two automation engineers can solve the same problem differently. That creates duplicate work, inconsistent results, and more maintenance later.

04

Automation arrives after the feature is already waiting to ship.

A new requirement often passes from product to development, then QA, then an automation specialist who must first understand the screen, rules, data, and existing code. By the time the test is ready, the feature may already be waiting for release.

05

A passing test does not always prove the business is protected.

A test can confirm that a button worked while missing the customer rule, policy, calculation, or decision that the business actually needs to protect.

The Forge answer

One connected workspace—built to carry the why as well as the how.

01

Make the architecture explicit

Forge captures screens, controls, routes, and behavior as shared assets—not private knowledge trapped in a test script.

Less brittle automation
02

Make framework expertise an accelerator—not a gatekeeper

Forge gives QA, product, and automation teams a shared way to describe screens, intent, data, and flows without requiring every contributor to author the underlying Java, Cypress, Playwright, C#, or other framework-specific implementation.

Broader participation, less key-person risk
03

Standardize the path to implementation

Reusable screen handlers, use cases, test data, and flows make the right pattern the easy pattern.

Consistency by design
04

Keep delivery in motion

Connected assets remove repeated context gathering and accelerate the journey from a stated requirement to a runnable test.

Faster, clearer delivery
05

Anchor tests in business intent

Use cases express the customer outcome and business rules first, then connect them to implementation and execution evidence.

Evidence that means something

Forge in the AI-driven delivery lifecycle

AI can write code. It cannot, on its own, run your quality program.

AI can help a team move faster. But leaders need more: one clear way to decide what to test, keep the work organized, and show that a release was ready for customers.

Why AI alone is not enough

A helpful answer is not a business process.

Claude and Codex are valuable assistants for thinking through problems and writing code. By themselves, they are not designed to run a company’s automation program.

  • An AI conversation is not automatically a company asset. For example, a useful script in one developer’s chat can be difficult for the next team member to find, trust, or reuse.
  • Generated code does not create a company standard. In practice, three developers may get three different solutions to the same testing problem, each with a different long-term cost.
  • The business reason for a test can get lost. That means a leader may hear that a test passed but still not know which customer promise, policy, or revenue risk it protected.
  • An AI answer depends on the instructions and information it was given. As a result, a strong response can still vary by user, project setup, or follow-up edits—making it difficult to manage as a standard business process.
Where Forge fits

Forge makes automation visible, repeatable, and accountable.

Forge keeps the work that AI helps accelerate in one place: what the application does, what the business needs, how the test is built, and what happened when it ran.

  • It gives the team one shared view of the automation program. At a glance, a business leader can see which important customer journeys are protected without reading a line of code.
  • It keeps the business decision connected to the test result. When a lending rule changes, the team can see the related scenarios, data, and outcomes in one workspace.
  • It turns proven work into reusable patterns. Instead of rebuilding, a team can use the same approved steps on a customer screen in many tests.
  • It provides a defensible record for release decisions. Before approving a launch, a release owner can see what was tested, what passed, what failed, and why it matters.

Let Claude or Codex help your teams work faster. Let Forge make that work repeatable and reportable.

  1. 01Describe

    State the business need—such as what must happen when a customer changes an address.

  2. 02Organize

    Forge shows the screens, rules, and data involved in that customer journey.

  3. 03Accelerate

    Use AI to speed up the analysis, drafting, and refinement of the work.

  4. 04Run

    Test the assembled journey from start to finish, including the address change.

  5. 05Prove

    Give leaders a clear view of release readiness and the items that need attention.

Forge does not replace capable AI assistants. It gives their work a lasting place in a quality program that leaders can see and manage.

See it in action

Five capabilities. One way to close the gaps.

Each Forge capability solves a specific failure point in the automation lifecycle—while strengthening the work that comes after it.

01 / Screen Handler

Reduce test-maintenance time when the application changes.

The problem Architectural knowledge lives in individual tests, so UI changes turn into fragile repairs across the suite.

How Forge solves it Screen Handlers centralize each screen’s interactions, controls, and verification steps into a reusable, governed asset.

  • Reduces architectural fragility
  • Creates a consistent implementation pattern
  • Lets teams change once and reuse everywhere
02 / Use Case

Make sure automation protects the business rules that matter.

The problem Test steps can prove technical behavior while missing the decisions, rules, and customer scenario the business needs protected.

How Forge solves it Use Cases organize automation around an explicit intent: the scenario, conditions, expected result, and rules that define success.

  • Preserves business intent from requirement to result
  • Gives QA and business teams a shared language
  • Makes coverage purposeful, not just extensive
03 / Data Composer

Stop waiting on scarce, manually prepared test data.

The problem Test data preparation is often manual, inconsistent, and owned by too few people—slowing everyone who depends on it.

How Forge solves it Data Composer makes scenario-ready test data part of the same workflow, so the team can prepare meaningful inputs without a separate, fragile process.

  • Reduces dependency on data specialists
  • Connects data directly to the scenario it supports
  • Increases repeatability across environments
04 / Test Flow Assembly

Deliver new automated coverage without rebuilding the same work.

The problem Individual contributors stitch together screens, data, and test logic differently—making delivery slow and difficult to maintain.

How Forge solves it Test Flow Assembly brings reusable assets together in a visible, deliberate sequence that teams can understand, review, and extend.

  • Standardizes implementation without constraining intent
  • Speeds delivery through composition and reuse
  • Makes test coverage easier to inspect
05 / Execution

Turn failures into answers faster—and results into release evidence.

The problem When execution happens far from the work that created it, failures are slow to understand and results lack useful context.

How Forge solves it Execution runs the connected assets and brings outcomes back to the workspace where their architecture, data, and intent are already understood.

  • Shortens the path from failure to diagnosis
  • Connects results to their business scenario
  • Creates traceable evidence for release decisions

The Forge difference

If you can describe it, Forge can build it.

In a Forge pilot, measure how much faster your team can automate a workflow, repair a changed screen, prepare test data, diagnose failures, and produce release evidence.

Measure the Forge difference

Forge capability walkthrough

Forge video