AI Reliability & Revenue-Leak Audit + Fixes

Audit the money path.
Ship the fixes.

A fixed-scope audit of your shipped AI product's public surface: the path a stranger takes from first visit to paid account. Every finding is verified before you see it. If you want, we implement the fixes too.

5 days
business days from kickoff to delivered audit
Up to 5
fixes shipped as reviewed pull requests on the $6,000 tier
3
of our lead findings dropped at verification, last batches

What we check

Every check runs through three lenses. They are what turn a site review into found revenue.

The money path

Signup, activation, payment. Every step a stranger takes to become a paying customer, clicked and recorded as a logged-out visitor.

Failure modes

What happens when something breaks. Does the user see an honest error? Does anyone on your team find out?

Claims vs. reality

What the marketing promises, checked against what the legal pages, docs, and product actually do. Drift here costs trust and conversions.

The method

Fifteen steps, condensed here. Public observation only: pages anyone can load, source anyone can view, headers any curl shows.

  1. 01

    Scope and inventory

    Crawl every reachable page, asset, and endpoint. The inventory alone often surfaces the first finding: stale backup pages still indexed, orphaned routes.

  2. 02

    Positioning, inferred from the outside

    What you appear to sell, to whom, at what price. Facts marked apart from inferences. When the homepage contradicts the pricing page, the contradiction is a finding.

  3. 03

    Strategic quality

    Six questions a stranger answers in thirty seconds or leaves: what is this, who is it for, why care, why now, why trust you, what do I do next.

  4. 04

    Content quality

    Specificity, proof, unsupported claims, weak calls to action.

  5. 05

    UX and interaction

    Every CTA clicked as a logged-out stranger. Forms inspected without submitting. Mobile and desktop.

  6. 06

    Visual design

    Layout, type, contrast, consistency, category fit.

  7. 07

    Accessibility

    Semantics, headings, keyboard, focus, labels, alt text. Confirmed and suspected issues marked separately.

  8. 08

    SEO and discoverability

    Titles, meta, canonicals, schema, robots, sitemap, llms.txt. AI assistants are becoming the first reader.

  9. 09

    Performance and technical health

    Load behavior, broken links, redirect chains, response headers, console errors. Your technical buyers run this check by reflex.

  10. 10

    Trust and conversion

    Testimonials, legal pages, pricing clarity, guarantees, objection handling. Case-study arithmetic gets recomputed.

  11. 11

    Competitive benchmark

    Where you lead, lag, or meet table stakes, so findings get priced against what buyers compare you to.

  12. 12

    Synthesis

    Each dimension scored 1 to 10 with evidence and a path to 9. The report: executive verdict, facts-vs-inferences table, scorecard, risk register, prioritized fix path.

How findings are verified

A finding nobody has independently reproduced is a guess.

Every finding goes through an independent verify gate before it reaches you. A second reviewer re-fetches your live site and tries to refute the claim. The default verdict is not confirmed. Findings that fail get dropped, including ours. Across our last batches we audited 27 products; of the lead findings that went to the gate, 24 verified and 3 were dropped. Those 3 looked solid and were no longer reproducible on the live site. Sites change daily. A wrong claim costs more credibility than ten right ones earn.

27
products audited, last batches
24
re-reproduced live and verified
3
dropped before delivery

Run on ourselves first

We ran the same discipline on our own platform and found three revenue-breaking defects in one session: a paid tier that never activated after payment, an endpoint that failed on every request, and a checkout page advertising a quota ten times larger than the code granted. We shipped the fixes, each one verified and audited.

Pricing

Fixed scope, fixed price. Deliverables are findings with evidence, diffs, and pull requests.

Audit
$2,500 fixed
5 business days

Read-only review of one AI product or feature: the money path, the failure modes, claim-vs-code accuracy, the conversion leaks. Prioritized findings plus a fix plan.

30-day money-back guarantee.

Buy the audit
Embedded
$4,000 /mo
monthly · cancel anytime

Ongoing. We operate as a fractional reliability engineer on your AI stack: fix leaks, harden the funnel, instrument the audit trail.

Scoped on a call before any invoice.

Talk to us

Paid engagements need read-only repo and funnel access and one stakeholder call.

Constraints

Read these before you buy.

  • The audit works from your public surface: pages anyone can load, source anyone can view, headers any curl shows.
  • No logins, no form submissions, no scanning, no credential testing. Nothing a polite visitor could not do.
  • Repo access, where you grant it, stays read-only. Fixes arrive as pull requests you review and merge.
  • We do no penetration testing and no vulnerability scanning. This does not replace a security audit.
  • We do not certify compliance.
  • Findings we cannot reproduce at verification time get dropped. You may receive fewer findings than we drafted. That is the point.

Contact

Questions before buying, or a product that does not fit the scope above: email josh@undercurrentholdings.com. You will get an answer from the person who runs the audit.