Why QA is harder for agencies
A product company tests one product it knows deeply. An agency tests many products it knows for a few months each, on fixed budgets and fixed deadlines, for clients who were not in the room when trade-offs were made.
That creates a familiar set of problems:
- QA is the first thing squeezed. When a project runs late, testing time shrinks, but the launch date does not.
- Context lives in people's heads. The brief, the change requests and the "we agreed on a call" decisions are scattered.
- Sign-off turns into a debate. The client finds a problem after launch, and nobody can show what was checked before release.
- Handover is thin. The client's team inherits a site with no record of how it was verified.
Hiring a dedicated tester per client rarely fits the margins. Writing and maintaining automated test scripts for sites that are handed over in weeks rarely pays back either.
Testing against the client's brief
ShipperAG checks each project against its own context: the client's requirements, their design system or brand guidelines, and their business rules. That matters for agencies because "correct" is different for every client.
A price rule that is right for one retailer is a bug for another. A colour that matches one brand's tokens breaks another's. Testing against the brief is how the AI QA agents tell a real defect from an intended choice.
When the brief is unclear, or the brief and a later change request disagree, the result is marked needs input instead of a guess. That gives your account team a precise question to take to the client, before launch rather than after.
A client-ready release evidence report
Every release produces a report written for people who were not involved in the build. It shows, in plain language:
- What was verified, with each pass backed by a check that actually ran and was re-run by an independent verifier.
- Any issues found, with screenshots and steps, and whether they were fixed.
- Questions that need input from the client.
- What was not covered in this release, stated openly.
The report is backed by a hash-chained evidence ledger recording what was checked on which build and who approved it. If a question comes up months later, you can show exactly what was verified on launch day.
Making client sign-off a formality
Sign-off conversations go wrong when they are about opinions: "it felt ready" against "we found a bug". Evidence changes the conversation.
- Your team runs the release check on a staging build.
- Issues are fixed and re-verified.
- Open questions are answered by the client.
- You share the release report and the client signs it.
Honest scope helps here too. A report that says "load testing was not in scope for this release" is far easier to defend than one that implies everything was covered.
Multi-client workspaces
Agencies run many projects at once. ShipperAG is built around separate workspaces per client, so each project keeps its own context, builds, evidence and reports. One client's requirements never leak into another's checks, and your team can move between projects without losing track of what was verified where.
Better handover to client teams
At the end of a project, the evidence ledger and release reports go with the site. The client's in-house team gets a record of what was checked and against which requirements. If you stay on a retainer, the same checks keep running on every change, which makes maintenance releases far less risky.
Accessibility obligations for your clients
Many agency clients sell to consumers in the EU, where the European Accessibility Act now applies to many digital services. The accessibility specialist checks WCAG issues on every release and is clear about what still needs human review. Read more in our guide to AI accessibility testing for WCAG 2.2 and the EAA.
How it fits your delivery process
Checks are designed to run in your own CI pipeline or against preview builds, so they fit whatever stack each client uses. There are no test scripts to write per project; you supply the brief and the build. For the thinking behind that, see autonomous QA testing without test scripts.