AI Test Automation Platform | Q-SPEAK by Sage IT

Your Engineers Are Shipping at the Speed of Thought.
Your Releases Are Not.

Q-SPEAK™ is an AI-driven quality engineering platform that automates the full testing lifecycle — from requirements intake to test execution and validation — with human oversight at every critical checkpoint.

See It Run on Your Stack

75%

QE Pipeline Automated

5×

Faster Than Manual

~60%

Shorter Test Cycles

~25%

Reduction in QE Costs

Your Developers Got an AI Co-pilot. Your QE Team Got a Longer Queue. Your Backlog Still Got Bigger.

Every enterprise ships faster than it can verify. Manual testing processes are slow, expensive, and structurally incapable of keeping pace with AI-accelerated development. The gap isn’t a resource problem — it’s an architectural one, and it’s widening every sprint.

Requirements lost in translation

Every sprint, intent becomes interpretation. Tests cover what was written, not what was meant — and the difference ships straight to production.

Automation that breaks on its own schedule

A button shifts two pixels. Three days of re-runs follow. Your senior engineers are debugging selectors instead of designing for risk coverage.

Coverage metrics that mislead

Green dashboards. Silent gaps. One escaped defect in a high-stakes release can cost more than your entire QE team’s annual budget.

A team structurally set up to fall behind

Development got AI. QE got a longer queue. The bottleneck isn’t your people — it’s the velocity gap AI just made impossible to ignore.

“A single class ID change on the checkout button cost me three days of re-recorded scripts, three days that should have gone toward the new payment flow. The role has shifted from quality engineering to reactive maintenance.”

Senior QE Engineer

E-Commerce Platform

Close the QE Gap Before Next Sprint

The Solution

Purpose-Built Agents. One Unified Pipeline. Zero Translation Loss.

Q-SPEAK™ automates the end-to-end testing lifecycle — from requirements elaboration through test generation, execution, and validation. Purpose-built agents eliminate the manual translation burden between intent and coverage, while your engineering team retains full control at every stage. Cloud-native. CI/CD-native. Bring your own LLM.

Understand

Ingests Jira, Confluence, design docs, and user stories. Every business rule is extracted and preserved — nothing lost in the handoff.

Analyze

Maps your live application across every screen, workflow, and API endpoint — automatically, and continuously as you ship.

Generate

Produces Playwright, Selenium, Cypress, or Gherkin test scripts — in the frameworks your team already runs.

Deliver

Deploys directly into GitHub Actions, Jenkins, Azure DevOps, or GitLab. Production-ready tests in the pipeline before the sprint meeting wraps.

Agent_01

The Analyst

Extracts every business rule, edge case, and acceptance criterion from your requirements documentation — with full traceability.

Agent_02

The Storyteller

Translates ambiguous requirements into precise, testable acceptance criteria. Surfaces gaps and contradictions before a single test is written.

Agent_03

The Explorer

Crawls your live application and builds a current map of every screen, user workflow, and API endpoint — automatically updated as you ship new releases.

Agent_04

The Builder

Generates enterprise-grade, CI/CD-ready test scripts tied directly to your requirements – from day one of deployment.

Human approval checkpoint at every stage, your team reviews, approves, or rejects before anything advances.

Book a Live 30-Minute Session

From Requirement
To Production-Ready.
In Hours, Not Weeks.

E-Commerce · Checkout Platform

The Edge case that kept reaching production

A checkout engineering team was manually testing saved card flows, 3DS authentication, session timeouts, and declined payment states. Every sprint, the same critical paths got deprioritized. A 3DS failure had reached production twice. The test suite reported green. Customers experienced broken.

The QE lead reviewed and approved 10 test files in under 20 minutes. The 3DS edge case that had broken production twice was caught automatically — before it ever reached staging.

2hrs

Requirement to tests — vs. 3 weeks manual

10/10

Requirement coverage on first pass

Zero

Bugs escaped to production

100%

Full audit trail — every decision traced

Get Started

No Demo. Your Sprint. Live. 90 Minutes.

Bring one real workflow. We run Q-SPEAK™ against your actual requirements, on your live application, and deliver working tests into your pipeline — before the session ends. Your environment. Your stack. Your results.