Every AI change breaks something that worked last week.
Your team fixes one flow, then another fails. You need to understand the cause before the next change repeats the cycle.
Your team ships with AI every week. Before an investor or customer asks the difficult questions, get a named expert’s verdict: what is sound, what needs work, and what to do next.
You need to know what you can trust before the next release, customer review or funding conversation.
Your team fixes one flow, then another fails. You need to understand the cause before the next change repeats the cycle.
There is always another fix between the demo and the product you can put in customers’ hands. You need a clear account of what remains.
An investor’s engineer or a customer’s security team will ask for evidence. You need answers you can stand behind.
The Ten-Day Verdict gives you an independent review of the agreed scope, located findings and a practical plan for what comes next.
Request an assessmentFrom the first review to the next release,
get the engineering perspective you need.
An evidence-led review of your software, with a prioritised plan and a signed verdict in ten working days.
Turn findings into verified changes. We agree the scope, cost, and acceptance criteria before remediation begins.
Ongoing review of releases against an agreed baseline, with a written record of what changed and what was checked.
The important questions live beneath the interface. We connect technical findings to the decisions you need to make.
How our review worksWho can see, change, or expose your data?
What happens when the happy path breaks?
Can your team maintain what has been built?
What could hold back the next milestone?
Technical due diligence that makes risks, constraints, and unknowns visible.
Explore due diligence FOR TEAMS BUILDING CUSTOMER TRUSTFind engineering gaps before your next customer security review.
Explore readiness supportExamples from Avi Root Info Solutions’ engineering work. Client identities are withheld. These engagements show the discipline behind CodeSignOff’s audit service.
An AI-written IoT build had not been reviewed. Our investigation found a wipe-on-update path without failure handling and hard-coded IP endpoints.
Why it matters: the review has to cover what happens when an update fails, as well as when it succeeds.
An ongoing platform engagement uses AI tooling alongside the team’s engineering work. It informs our understanding of the systems founders are asking us to assess.
Why it matters: familiarity with AI-assisted delivery helps us ask practical questions about how a codebase was built.
A stalled software project became a recovery engagement. That experience underpins our emphasis on understanding the existing build before agreeing what happens next.
The next decision: establish what is there before committing to further work.
CodeSignOff draws on the team’s prior rescue, verification and delivery work. The Indian platform engagement is ongoing.
See how findings are presentedBuilding. Rescuing. Reviewing.
Understanding what makes software work.
I’m Shekhar. I bring engineering experience dating to 1998 to every engagement, with one accountable name from the first conversation to the verdict.
CodeSignOff is part of Avi Root Info Solutions. You work with one accountable lead, supported by our engineering team.
Meet your assurance partner
Launch readinessBefore launching an AI-built app, check access, payment failures, recovery, monitoring and rollback. Build a release decision from evidence.
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Technical due diligencePrepare architecture, setup, deployment and decision records so an AI-built product can be maintained by someone new.
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Application securityA practical response sequence for an exposed credential: contain access, replace it, inspect use and verify the deployed fix.
Read articleTell us what you’re building and what’s coming next.
We’ll help you scope the right review.