Yes, it is possible. Testing is not free and more testing is not automatically better.
Some organisations keep testing because nobody is willing to make the decision to stop. Another regression cycle feels safer than saying ‘we know enough’. A month later the product has barely changed but the test team has heroically reconfirmed 3,000 things everyone already knew.
If testing has become a ritual nobody feels able to stop, an outside review can usually identify what is still buying confidence and what is just burning calendar.
Testing has diminishing returns
Early testing usually finds important information quickly. Later cycles often find less. That is not a reason to stop carelessly; it is a reason to ask what additional risk each extra day is actually reducing.
Look for duplicated test levels, giant manual regression packs, repeated checks around low-risk functions, unnecessary cross-browser combinations and specialist testing commissioned because a template said every project should have it. A practical starting point is working out a sensible regression-testing scope instead of maintaining everything forever.
A sensible approach also considers how easy defects are to detect and recover from in production. A feature behind a flag with excellent monitoring and instant rollback can sometimes justify less pre-release testing than a one-way data migration you cannot undo.
Someone has to own the decision
Testers should provide evidence and advice. They should not be forced to keep testing forever because management wants the comforting fiction that somebody else will eventually declare the software safe.
Testing can delay feedback as well as provide it
Heavy test gates sometimes make changes larger and rarer. Teams wait for a formal cycle, bundle more work together and then create exactly the sort of high-risk release the process was meant to protect. Faster, smaller releases with good automated feedback and monitoring can sometimes reduce risk more effectively than another week of pre-release ceremony.
That does not mean ‘ship everything and watch production burn’. It means choose controls that match the consequence. Critical migrations, money movement and irreversible changes deserve depth. Low-impact reversible changes may deserve speed.
If nobody can explain why a particular test activity exists except ‘we have always done it’, put it on the review list. Tradition is not a risk model.
If you suspect your test function is costing more than the risk it is reducing, talk to us. We can review what is being tested, what it has found historically and what actually matters, then tell you where we would cut effort without simply gambling with the release.