Audits · Senior engineers · Two weeks

Three audits.
One question each.

Every founder we talk to is asking one of three questions. Where does AI fit in my business, and what is safe given my data? I shipped fast with AI tools. Is what I built actually safe to scale? My AI is in production. Will it hold up?

Each audit is a fixed-scope, two-week engagement. Written report. No retainer. No proposal pushed at the end. If you engage further, the audit fee credits to it.

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The three audits

Pick the one that matches your situation.

Every audit is delivered by senior engineers, in two weeks, at a fixed price. The deliverables look the same; the questions they answer don't.

01 / Opportunity

AI Opportunity Audit

For companies new to AI, exploring where it fits.

$5,000 · 2 weeks

You know AI matters. You are not sure where it fits in your business, what is safe given your data, or what the realistic ROI looks like. The audit answers all three.

What we do

  • Interview your operators and leadership to understand actual workflows
  • Audit your data foundation for AI-readiness
  • Identify the 3 highest-ROI AI integrations specific to your business
  • Surface risks given your data, regulatory environment, and team capacity
  • Deliver a written roadmap with sequencing, cost estimates, and effort

Best for

  • Companies with no AI in their product or operations yet
  • Teams under pressure (board, customers, competitors) to do something with AI
  • Founders who want an outside read before committing budget

You walk away with

  • A 15–25 page written report you own and can share
  • A 90-minute walkthrough call with the audit team
  • A prioritized roadmap of 3 specific AI integrations to pursue (or not)
  • An honest assessment of whether AI is the right move right now
Start with the quizBook the audit directly
02 / Code & Security

AI Code Audit

For products built fast with AI coding tools.

$5,000 · 2 weeks

AI coding tools let you ship 10x faster. They do not review their own work, and the things they miss (security boundaries, edge cases, hostile users, scale assumptions) are exactly the things that cause incidents in production. Two senior engineers review the codebase the way an attacker or future hire would.

What we do

  • Full security review: authentication, authorization, secrets management, API exposure
  • Data handling audit: PII, payment, regulated data flows
  • Dependency and supply-chain analysis
  • Reliability gaps: error handling, fallbacks, monitoring blind spots
  • Maintainability assessment: can a new engineer pick this up?

Best for

  • Founders who shipped on Cursor, Claude Code, Lovable, v0, Bolt, Replit, or Windsurf
  • Products handling user data, payments, or anything regulated
  • Anyone planning to scale, raise, or hire on top of an AI-built foundation

What we don't do

  • Judge how you built it. AI coding tools are how modern products get shipped.
  • Deliver a 200-page generic report. Every recommendation is specific to your code.
  • Push you toward a long engagement you don't need.

You walk away with

  • A 15–30 page written report with prioritized fixes
  • Direct Slack channel with the audit team during the 2 weeks
  • 60-minute walkthrough of findings and remediation paths
  • Honest read on whether you should fix it yourself or have us do it
Start with the quizBook the audit directly
03 / Production

AI Production Readiness Audit

For teams with AI features live in customers' hands.

$6,000 · 2 weeks

Your prototype demoed well. Now it is in production and the cracks are showing. RAG hallucinating, agents looping, costs spiking, latency unpredictable. The audit identifies exactly where the production layer needs to be hardened, in what order, with what effort.

What we do

  • Architecture review: model routing, caching, batching, fallback logic
  • Eval audit: coverage, automation, regression detection
  • Cost analysis: token spend, optimization opportunities, projected scale costs
  • Reliability assessment: failure modes, observability, incident response
  • Operational maturity: who can debug, model swap-ability, knowledge concentration

Best for

  • AI-native startups 6–24 months into a build
  • Teams with paying customers depending on AI reliability
  • Companies preparing to scale 5–10x and unsure if the AI infrastructure can hold

You walk away with

  • A 20–30 page written report with prioritized roadmap
  • Effort and impact estimates for every recommendation
  • 90-minute walkthrough with the audit team
  • Audit fee credits to any production engagement that follows
Start with the quizBook the audit directly

Standard across all three

What every audit includes by default.

Senior engineers only

No juniors. No offshore handoff. The names on the team page are the people doing the audit.

Fixed price, fixed scope

Written agreement before we start. No surprise invoices. No scope creep without your sign-off.

Two-week turnaround

From kickoff to written report. We do not drag audits out. Two weeks or it does not bill.

You own the report

Share it with your team, your board, your investors. The audit is a deliverable, not gated content.

No proposal pushed at the end

You decide what is next. If you want to engage further, we will scope it. If you want to act on the report yourself, that is the right outcome too.

Audit fee credits

If you engage Centenum further, the full audit fee credits against the next engagement.

Not sure which audit fits?

Three minutes. Eleven questions. Personalized score.

No email needed to see the result. We respond within 24 hours if you want to talk after.

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