AI-First Quality Engineering

AI generates. Humans govern.

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Our AI-First Methodology brings AI into software testing through governed workflows. As Artificial Intelligence is used across the quality lifecycle, our expert engineers review, correct and confirm every output. 

That means AI speed without losing sight of system quality.

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Quality Has to Keep Up with AI-Powered Delivery

With AI, teams can generate code, tests and analysis in a fraction of the time. But more output also means more to verify. Without clear controls, the productivity gained upstream can simply move more work into testing, review and production support.

For many, that creates three immediate questions:

  • How should we use AI in software testing without introducing more defects or maintenance?
  • How do we test AI systems for issues such as hallucination, bias and unexpected behavior?
  • Are our data, governance and quality practices ready for broader AI adoption?

The pressure is already showing up in software delivery.

What Industry Leaders Are Saying

80%

of enterprises will adopt AI-augmented testing tools by 2027

Gartner Report

+54%

more bugs per developer as AI coding adoption deepens, with review time up 5×

Faros AI, The Acceleration Whiplash

3x

incidents per pull request. AI throughput is up, production quality is down

Faros AI, 2026

Three Ways TTC Global Helps Teams Use and Test AI

While AI lowers the barrier to quality engineering, it doesn't replace the judgement needed to decide whether the output is trustworthy. Our team brings that trusted judgement, whether we're using AI to test software, testing your AI, or getting your organization ready for both.

Our Methodology

Quality Engineering with AI

Our AI-First Methodology is four governed workflows spanning functional testing, test automation, performance testing and reporting. AI does the heavy lifting; human experts govern every handover.

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Testing AI Systems

Quality Assurance for Your AI

AI systems don't behave like conventional software. Risks like bias, hallucination and unexpected behavior need testing approaches built for them, so we design and run AI-specific test strategies that show your AI performs reliably and ethically.

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Advisory & Governance

AI Readiness and Governance

From AI Readiness assessments and data quality for AI, to a living AI Governance Framework and organizational change, we get your people, data and quality practices ready to adopt AI safely and at scale.

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Four Governed Workflows with Human Review at Every Stage

AI-First Functional Testing

AI understands the change; testers confirm the coverage. AI analyses a new requirement, maps its impact on existing coverage and designs the right tests. Expert testers review and confirm every case before it runs.

AI-First Test Automation

AI builds the automation; engineers own the quality. Confirmed test cases become enterprise-grade automated tests up to 3× faster, in your automation tool of choice. Expert engineers approve every test before it ships.

AI-First Performance Testing

AI finds the bottlenecks; engineers tune with intent. AI models expected load, runs and monitors performance tests and diagnoses issues. Engineers validate every finding before it drives change.

AI-First Test Reporting

AI surfaces the insight; leaders make the call. AI aggregates results from across your quality lifecycle into clear release-readiness reporting, governed so the numbers can be trusted.

Why It Works: The Four Pillars of Enterprise-Ready AI

Together, each pillar makes AI output dependable enough for enterprise delivery.
AI Configuration

Specialised agents per phase, loaded with business context, domain rules and acceptance criteria.

Disciplined Consistency

AI learns from your existing repository. Every output reflects the house format, refined iteratively.

Non-AI Guardrails

Mandatory review gates, traceability and coverage checks that are independent of the AI's own self-assessment.

Human Governance

Expert judgement on completeness, risk and scope. These are the human decisions AI can't make.

Evidence from Real Testing

Claims about AI productivity are easy to make. We test our approaches in the TTC Test Lab before applying them to client delivery.

AI-First Playwright Automation

3×Faster test automation

Confirmed test cases become enterprise-grade automated tests up to 3× faster than manual scripting, demonstrated on real enterprise applications, with expert engineers approving every script before it ships.

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Proven in the TTC Test Lab

25% less effort to author tests

AI-assisted test authoring cut design effort by a quarter on average and by more than a third at peak in our enterprise Workday pilot.

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Anyone can say they're “AI-first.” We can actually show you.

Companies choose TTC Global as their AI-First Quality Engineering Partner because they trust our work. 

We can demonstrate the governed workflows, the human checkpoints, and proof points on your own application.

Certified AI Practitioners

Our people are assessed against a published AI Practitioner standard with evidence from live delivery, renewed continuously as AI evolves.

All Four AI Maturity Stages

We operate across AI assistance, enhancement, prediction and agentic automation. Most pure-play QE providers sit at stage one or two.

Proprietary IP, Not Just Subscriptions

The TTC One platform, the Playwright Test Automation Accelerator Framework and our Accelerator Packs are assets you can't replicate by buying the same tools.

A Living Ethical & Governance Framework for AI

Our AI services are grounded in R&D and guided by our Ethical Framework for AI, governance your organization can adopt and audit.