Independent proof that an AI-assisted application is ready for the people, data and decisions it will carry.
AI coding agents can accelerate a working prototype. They can also produce a convincing report that a feature is complete when a workflow is broken, access is not actually restricted or the tests only prove that the code runs. That is not a reason to stop building with agents. It is a reason to introduce the delivery discipline that production systems require.
FuegoAI independently assesses AI-assisted applications before they face real users. We turn product requirements into testable delivery contracts, verify critical behaviours in the real environment and establish a clear route from prototype to a production decision.
The result is not a longer list of tasks. It is evidence that the things your organisation depends on actually work — and a prioritised plan for the things that do not.
01 · Production-readiness audit
An independent review of the workflows that matter before users, data or reputation are put at risk.
- Critical user-journey and business-workflow testing
- Authentication, access-control and account-lifecycle review
- Data handling, integration and error-path assessment
- Test-suite quality review: meaningful coverage versus tests written merely to pass
- Technical, operational and delivery-risk register
02 · Delivery contracts
A shared definition of “done” for each important behaviour. Every contract records:
- Agreed delivery — the observable behaviour the system must provide
- Constraints — the shortcuts, unsafe outcomes or prohibited actions it must not allow
- Proof — the evidence required before the work can be called complete
- Independent verification — the person, test process or separate system that checks the proof
- Ownership — whether the next action is agent-owned, engineering-owned or human-owned
03 · Evidence-based verification
Proof is not the same thing as verification. We require an artefact, then test it outside the system that created it.
- Live-environment workflow checks and acceptance testing
- Recorded user flows, test reports, logs and deployment evidence where appropriate
- Independent review of feature claims against the delivery contract
- Human review for high-risk decisions and controlled automated checks where they are reliable
- Clear pass, fail and conditional-release decisions
04 · Remediation roadmap
A practical route from findings to a safer, usable release.
- Prioritised fixes by user impact, security exposure and release risk
- Clear acceptance criteria before a remediation can close
- Targeted re-testing after each critical correction
- Release gates for features that remain unproven or out of scope
- Optional FuegoAI delivery support where the client needs a build team as well as assurance
05 · Release assurance pack
A record your leadership, delivery team and stakeholders can use.
- Executive production-readiness summary
- Delivery-contract register and verification status
- Evidence links and outstanding-risk decisions
- Ownership map for unresolved work and operational follow-up
- Recommended release path: proceed, proceed with conditions, remediate, or stop
How delivery works
- Audit — identify critical behaviours, risk and missing evidence. Output: production-readiness assessment.
- Contract — define delivery, constraints, proof, verification and owner. Output: delivery-contract register.
- Verify — test claims independently in the relevant environment. Output: evidence-backed pass/fail decisions.
- Assure — re-test corrections and prepare the release decision. Output: release assurance pack.
What this service is — and is not
AI Delivery Assurance is a production-readiness and behaviour-verification engagement. It complements, but does not replace, specialist penetration testing, formal compliance certification, or a full managed security operation where those are required.
Outcome
A defensible production decision. Your organisation knows what has been proved, what has not, what must be corrected before release and who owns every remaining action.
What you get
- Production-readiness audit
- Delivery contracts
- Evidence-based verification
- Remediation roadmap
- Release assurance pack
- Typical duration
- 2–6 weeks
- Best for
- AI-assisted systems approaching real use
- Starts with
- Assurance audit
- Languages
- Arabic and English