Quality Intelligence
is here.

AI is speeding up software delivery. Quality risk can emerge just as quickly, across code, tests and releases.

QE wasn’t designed for this pace. It must evolve.

Quality Intelligence brings together 2i’s quality engineers, risk intelligence and human-led AI. It shows where to focus, what’s ready to release and what still needs attention.

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2i | QUALITY INTELLIGENCE

Quality Intelligence closes the gaps that AI has opened.

AI is accelerating software delivery.
Quality Intelligence gives you the insight and confidence to keep up.

Build faster. Know sooner.


AI delivers speed. Confidence unlocks value.
 

WHY NOW

AI moves fast.
Risk now turns up everywhere it goes,
and gaps are forming.

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AI is writing code, generating tests and pushing out updates faster than your teams can review them. Every new model, agent, platform migration and release adds risk here, then here, then somewhere you weren't looking.

Quality engineering got the discipline this far. It grows with headcount, while AI grows with computing power, so the gap between what you build and what you can prove widens every sprint.


Here, in your pipeline

AI-generated tests can pass without checking the right outcomes. That can leave defects hidden even when coverage looks healthy.

Here, in your controls

Faster releases can outpace existing review and traceability. Teams need a clear record of what was tested, what was checked and who owns the decision.

Here, in the boardroom

Leaders need evidence that faster delivery has not come at the cost of quality before committing to wider AI adoption.

Here, in your budget

When teams measure activity rather than risk reduced, it is harder to show what quality investment is delivering.

HOW IT WORKS

Quality Intelligence closes those gaps

2i's quality engineers, risk intelligence and human-led AI, working together to show where risk sits, what to tackle first and how much is already under control.  

Risk Intelligence

Finds every "here"

Scores every change on business impact and technical complexity, so testing starts where failure would hurt most.

 

Effort goes to the highest risk first

Quality Engineers

Own the judgement


Embedded in your delivery teams, directing the AI and checking what it produces.

 
Machine-speed decisions made by people who know your systems

Human-led AI

Does the heavy lifting

Five accelerators from requirements to results, on your infrastructure, with synthetic data.

 
More change delivered by the same team

Insight for every audience

Risk retired, not tests passed

Dashboards show engineers, leaders and auditors which business risk is closed and what's open.

Go/no-go decisions on evidence

What changes?

Ship more change, faster, at lower cost

Catch risk before customers do

Give the board evidence to back AI

Report value, not activity

WHERE ARE YOU?

Quality Intelligence builds on your existing processes

Your next step depends on what is already working. Start by seeing the strengths, gaps and risks across your current quality approach.

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Most organisations aren't starting from zero.

You may already have strong quality engineering, test automation or AI-assisted testing. Our Quality Intelligence Maturity Assessment maps where you stand across eight dimensions and identifies practical next steps.

Find out where to focus next.