appana TechnologiesUAE · AI innovation

Visual verification

Check the rendered screen against what was intended.

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FROM POSSIBILITY TO PRACTICE

What it does for your business

For your software and product team, “Visual verification” can become a repeatable workflow rather than a separate task handled from scratch each time. AI can compare the supplied material with agreed criteria, highlight differences and assemble the evidence a reviewer needs. It fits into implementation, maintenance and technical delivery, using your business information and the standards your team already works to.

The value it could bring

These are the improvements to evaluate against your current process. We agree the scope and test the value with your team.

More time on product decisions

Reduce repetitive implementation and investigation work so engineers can focus on design choices and reliable delivery.

A faster first pass

Focus reviewers on the differences and exceptions that need judgement instead of starting every review from a blank page.

More consistent checks

Apply the same agreed criteria across items and make the reasons behind a finding easier to inspect.

EVIDENCE FROM OTHER BUSINESSES

Published ROI evidence

We have not linked a comparable published financial ROI study for this use case yet. That leaves it unranked, rather than assigning an estimated score. A pilot can measure benefits and total implementation and running costs in your business.

How it works in your business

  1. STEP 1

    Bring in the right context

    Select the relevant information from your code repository, issue tracker and development environment. Agree what a good result looks like with your software and product team, including the rules, examples and permissions the workflow needs.

  2. STEP 2

    Turn the task into a workflow

    Check the rendered screen against what was intended. Apply the agreed rules consistently, explain the items that need attention and link findings back to the source rather than presenting an unexplained verdict.

  3. STEP 3

    Put the result to work

    Give the reviewer a prioritised set of findings with supporting context and an editable record of the outcome. Engineers review code and run the relevant checks before merging or releasing a change.

AN EXAMPLE IN PRACTICE

A member of your software and product team needs help with “Visual verification”. They supply task specification and relevant repository context, together with the relevant instructions and the result they need. The workflow prepares an initial result with its supporting context, flags missing information and returns it for review. The owner can correct it and use the accepted result in the team's code repository, issue tracker and development environment.

Start with a focused pilot

Choose one workflow, one team and a representative set of real tasks. We establish the current baseline, build the first version and review the results together before expanding it.

What we would start with

Depending on the scope, useful inputs include:

  • Task specification and relevant repository context
  • Architecture rules, tests and coding standards
  • Logs, issues or examples needed to reproduce the problem

We agree access and integration with your code repository, issue tracker and development environment as part of the design.

How we would measure value

  • Time to complete a reviewed item
  • Confirmed findings and incorrect flags
  • Cycle time for a reviewed change, defects and maintainability

Engineers review code and run the relevant checks before merging or releasing a change.

LET’S BUILD IT TOGETHER

Could this help your business?

Tell us how your team works today and what you would like to improve. We’ll explore the opportunity, shape a practical first step and build it with you.

Talk to us about this use case