AI Remediation & Verification
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 the drag of defending systems they did not build and do not trust.
The New Technical Debt Ships Faster
A growing number of organizations are sitting on systems that do not quite work — legacy code that has drifted, integrations held together by assumptions, and, increasingly, large volumes of AI-generated code that was never reviewed, tested, or verified. AI coding tools have made it possible to produce plausible software faster than most organizations can evaluate it, and plausible is not the same as correct. Wilkes & Liberty audits these systems, remediates the defects, and verifies the result: correct behavior, real test coverage, and a codebase you can trust.
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 human 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 — federal and commercial — 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.
Make It Defensible
Software your organization depends on should be software your organization can defend — to an auditor, an evaluator, or an incident review. Contact us to scope an audit.
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 are performed 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.