Capability

AI Remediation & Verification

Audit. Remediate. Verify.

Audit, remediate, and verify malformed or AI-generated systems — turning unreliable codebases into correct, tested software with evidence operators and reviewers can act on.

Mission impact

Unverified software is unpriced risk — every release, integration, and audit cycle built on it inherits defects no one has measured. By auditing, remediating, and verifying these systems, we convert unknown exposure into a documented, tested baseline — restoring leadership's ability to make commitments on top of the software, and freeing engineering teams from defending systems they did not build and do not trust.

A growing number of organizations sit on systems that do not quite work — legacy code that has drifted, integrations held together by assumptions, and large volumes of AI-generated code that was never reviewed, tested, or verified. AI coding tools make plausible software faster than most teams can evaluate it. Plausible is not correct.

Wilkes & Liberty is a company of forward-deployed engineers for that last mile. We audit the systems you already run, remediate the defects that matter, and verify the result with evidence a reviewer can act on — then leave the test harness and ownership with your operators, not with us.

Private and commercial clients get the same engineering security bar we design for mission environments: correctness first, security and reliability in risk order, and documentation that survives an audit or incident review. Dense federal acceptance and EO 14028 provenance language live on the Federal Buyers path; the delivery discipline is universal.

What an engagement includes

  • Codebase and architecture audit — a systematic assessment of what is broken, unsafe, or unverifiable, distinguishing defects that matter from stylistic noise.
  • Prioritized remediation — correctness, security, and reliability defects fixed in risk order, with each change reviewed and traceable.
  • Verification through evidence — automated test coverage built around the behavior that matters, so the claim "it works" is demonstrated rather than asserted.
  • A defensible report — clear documentation of what was wrong, how it was resolved, and what residual risk remains, in a form leadership and reviewers can act on.

Judgment first, tooling second

Our remediation work pairs senior engineering judgment with AI-assisted analysis — the same governed agent workflows described in our Agentic AI Development practice, applied to the sweep-and-classify work of a large audit, with engineers owning every finding and every fix. This is deliberate symmetry: the discipline that lets us build with AI safely is the discipline that lets us clean up after AI used without it.

Verification is the deliverable

Remediation without verification is opinion. Every engagement leaves behind the machinery of continued trust: automated tests wired into a security-gated delivery pipeline — see our DevSecOps practice — so the codebase does not silently regress after we leave, and documentation that lets your team maintain the standard we established. Where the audit reveals that remediation is not economical, we say so, and the finding hands off to a scoped rebuild through our Software Development practice.

Built for uncomfortable situations

This capability exists for organizations holding software they cannot fully vouch for: a contractor deliverable that passed acceptance but fails in production, an internal tool that grew AI-generated modules no one reviewed, a system inherited through acquisition or contract transition with no institutional knowledge attached. The engagement is designed to be low-friction to start: an audit produces findings and a prioritized plan before any remediation commitment is made.

Engagement path

Unsure whether the codebase you inherited is salvageable? Start with the AI & Sovereignty Readiness Assessment when AI exposure is part of the map, or Open a ticket to scope an audit — structured intake (problem, systems, constraints, desired outcome) lands in our private queue for triage into assessment, remediation, or rebuild.

When software can no longer be taken on faith

Product owners, acquisition and transition teams, security leaders, and maintainers call for this work when they cannot confidently approve, operate, or extend a system. That may follow an AI-assisted build or contractor handoff, occur when defects outrun the test suite, precede acceptance of a high-risk deliverable, or arise when leadership needs evidence to choose remediation over replacement.

From finding to verified correction

The codebase is reviewed in its delivery context: architecture, dependencies, tests, security boundaries, data paths, build pipeline, runtime evidence, and operating documentation. We establish critical behaviors, reproduce material failures, audit risk in context, remediate in priority order, and verify each claim with tests or observable evidence. Findings that should not be fixed are documented just as clearly as those that are.

Evidence at handoff

  • A prioritized, evidence-linked finding register and remediation decision record.
  • Reviewed fixes with regression, security, and behavior tests.
  • A defensible residual-risk report and maintainable verification pipeline.

Sovereignty features

Audit and remediation run entirely inside your environment — source code is never routed through external analysis services, and findings, tests, and reports are deliverables you own outright. The engagement is designed to reduce dependency, not create it: the verified codebase, its test suite, and its documentation leave your organization able to maintain the standard without us or the original vendor.

Defense & government relevance

Audit and remediation run inside customer-controlled environments, with no source code routed through external analysis services. Findings map to the correctness, security, and supply-chain expectations of federal delivery — including test-evidence and code-provenance documentation suitable for contract acceptance, transition-in review, and Executive Order 14028 software-integrity requirements. Suited to contract transitions where inherited codebases carry no warranty and no institutional knowledge. Dense acceptance language belongs on the Federal Buyers path; the main page states the universal engineering bar.