AI SOFTWARE ASSURANCE FOR FOUNDERS

Your App Works. Can You Prove It Can Be Trusted?

We independently examine AI-built software and turn technical evidence into a clear decision: fix, rebuild or proceed.

This is not another automated code scan. We record what was examined, combine multiple evidence sources, locate the main risks and state clearly what remains unknown.

See the Audit Journey Request a Private Review
Before launch Before funding Before deployment Before handover
WHAT WE AUDIT

We Examine the Parts That Can Change the Decision.

We do not simply run one scanner and send you the output. We examine the code, controls and important product promises that affect trust.

Four areas. One clear technical position.
01 FOUNDATION

Code and Structure

Can the application be understood, maintained and safely changed as the product grows?

Weak type safety Dead or duplicated code Fragile dependencies Unclear architecture
WHY IT MATTERS

Hidden technical debt can consume time, funding and confidence after launch.

02 PROTECTION

Security and Access

Are accounts, sensitive actions and important data protected in the places that matter?

Authentication controls Permissions and roles Exposed keys or secrets Unsafe data handling
WHY IT MATTERS

A polished interface can still hide weak protection underneath.

03 PROMISES

Business Logic

Does the software keep the important promises the business and its users depend on?

Payments and totals Retries and duplicate actions Rules and approval flows Critical user journeys
WHY IT MATTERS

Code can pass a technical check while still breaking a critical business rule.

04 READINESS

Production Readiness

Is the product ready for greater exposure, more users and increased responsibility?

Deployment configuration Error and failure handling Activity and audit records Repair and retest priorities
WHY IT MATTERS

A working prototype and a production-ready product carry very different levels of risk.

THE FORENSIC DIFFERENCE

Evidence is combined, checked and interpreted.

01 Automated analysis
02 Human interpretation
03 Targeted checks
04 Declared coverage
IMPORTANT LIMIT

The audit can only examine the code, systems and evidence made available within the agreed scope.

THE AUDIT JOURNEY

From AI-Built App to a Decision You Can Defend.

Four clear stages. No technical lecture. You finish with evidence, priorities and a practical next step.

01 DEFINE

App and Scope

We record what was built, what was supplied, what is included and what remains outside the review.

YOU GET

A clear, recorded starting point.

02 EXAMINE

Forensic Audit

Automated tools, human interpretation and targeted checks are combined into one evidence-led review.

YOU GET

Located risks, not just scanner output.

03 EXPLAIN

Evidence Pack

You see what can be trusted, what needs attention and what the available evidence cannot confirm.

YOU GET

Evidence, priorities and declared limits.

04 DECIDE

Decision and Retest

Proceed with declared limits, repair the important risks or rebuild the parts that cannot be defended.

YOU GET

A practical next step and optional repair verification.

THE REVIEW ENDS WITH A DECISION

Not just a list of findings.

PROCEED

The remaining risk is understood and acceptable for the current stage.

FIX

Repair the important problems, then verify that the changes worked.

REBUILD

Replace weak parts when continued repair would consume more time and money.

WHY THIS IS DIFFERENT

A scanner reports what it detected. The forensic audit also records the coverage, interprets the evidence and supports the decision that follows.

WHAT YOU RECEIVE

A Clear Evidence Pack. Not a Pile of Scanner Output.

The findings are organised so a founder, developer, investor or adviser can understand what was checked and what should happen next.

01 BASELINE

Recorded Scope

A clear record of what was supplied, what was examined and what remained outside the review.

02 FINDINGS

Located Risks

Findings connected to the relevant code, control, feature or product behaviour wherever the evidence allows.

03 PRIORITY

Repair Priorities

A practical view of what should be addressed first, what can wait and what may require replacement.

04 TRUST

What Can Be Trusted

A clear explanation of what the available evidence supports and where confidence remains limited.

05 LIMITS

Declared Unknowns

Missing access, excluded systems and unresolved questions are stated rather than hidden behind a confident score.

06 NEXT STEP

Decision and Retest

A recommended path to proceed, repair or rebuild, with an optional retest after important changes.

THE PRACTICAL OUTCOME

Know what to do next.

Use the evidence to support a launch, funding, deployment, handover, acquisition or repair decision without claiming more certainty than the review can support.

Launch Funding Deployment Handover Repair
IMPORTANT LIMIT

The evidence pack does not prove that the software is defect-free. It explains what was examined, what was found and where uncertainty remains.

BEFORE YOU SHIP, FUND OR HAND OVER

Know What You Can Trust Before Others Depend on It.

A working app is only the beginning. Get independent evidence about what was examined, what needs attention and what remains unknown.

Confidential Read-only by default Coverage declared Evidence-led