A YouMultiply Engagement · Self-Service
Seven business days. A human-written verdict on whether your AI-prototyped system is safe for real users, real data, and real revenue.
Most founders who have prototyped something with AI tools already know their creation is not quite production-ready. You have put it in front of beta users or internal teams, patched the issues you can see, and worried quietly about the issues you cannot. Perhaps you googled “how to secure my Replit app,” tried a few fixes, and asked a developer to “take a look”—a request that usually results in general advice that does not actually help you decide what to do next.
The problem is not that you think the prototype is fine. The problem is structural blindness combined with vague guidance: you do not know which problems matter, what fixing those problems would actually cost, or whether the whole thing should be rebuilt rather than patched. You live with the anxiety because you do not have a way to convert it into a decision.
The Production Readiness Audit produces a written report covering security, stability, operational readiness, performance, data handling, compliance, and architecture. Findings are categorized by severity. Recommendations are prioritized. The report ends with a clear verdict, one of three:
The prototype is fundamentally sound. We identify and document what needs to be fixed to put it safely into production. We also provide a hardening and implementation quote if you want our help and support.
The prototype has real promise but the work to take it to production is substantial. We document what is needed to make it easy for you to implement and provide a scoped estimate if you want to appoint our team to do it.
The architecture or approach is not viable for production at the scale you want. We explain why, and give input to stimulate further strategic thinking. Our team can further assist you to identify exponential opportunities at one of our events.
A one-hour walkthrough call accompanies report delivery. You receive the written report, you have the call to discuss it, and you leave with a decision you can act on.
Plus: a ready-to-run fix plan for your AI agent
Alongside the report, you receive a markdown file containing a full implementation plan written for your AI coding agent. For every issue that can be fixed this way, it spells out exactly what to change, so your agent can implement the fixes directly.
This is structured work, not a casual review. Here is what is actually involved.
| Phase | What we do (examples, not exhaustive) |
|---|---|
| Pre-engagement | Discovery call, NDA and services agreement coordination, access setup |
| Information gathering | Read documentation, map tech stack and architecture, trace data flow, identify integrations |
| Strategic audit | Product soul, risk and process accountability, AI decision internal impact, strategic direction impact |
| Structural code review | Walk the codebase, assess quality and organization, check test coverage |
| Security audit | Authentication, authorization, secrets management, injection vulnerabilities, dependency audit, CORS, TLS, password handling, session management, rate limiting |
| Stability and reliability | Error handling, edge cases, race conditions, resource leaks, timeout handling |
| Operational readiness | Logging, monitoring, deployment process, backups, environment separation, migrations |
| Performance | Obvious bottlenecks, N+1 queries, missing indexes, caching strategy |
| Data handling and compliance | PII review, retention policies, GDPR and POPIA considerations, audit trails |
| Architecture review | Scalability assessment, database schema review, design flaws |
| Verdict determination | Decide: harden / remediate / rebuild, with reasoning |
| Report writing | Structure, write findings categorized by severity, prioritized recommendations, verdict |
| Report presentation | Prep plus a one-hour walkthrough call with Q&A |
| Internal QA | A second senior engineer reviews the audit for completeness |
Discovery call, NDA and services agreement coordination, access setup
Read documentation, map tech stack and architecture, trace data flow, identify integrations
Product soul, risk and process accountability, AI decision internal impact, strategic direction impact
Walk the codebase, assess quality and organization, check test coverage
Authentication, authorization, secrets management, injection vulnerabilities, dependency audit, CORS, TLS, password handling, session management, rate limiting
Error handling, edge cases, race conditions, resource leaks, timeout handling
Logging, monitoring, deployment process, backups, environment separation, migrations
Obvious bottlenecks, N+1 queries, missing indexes, caching strategy
PII review, retention policies, GDPR and POPIA considerations, audit trails
Scalability assessment, database schema review, design flaws
Decide: harden / remediate / rebuild, with reasoning
Structure, write findings categorized by severity, prioritized recommendations, verdict
Prep plus a one-hour walkthrough call with Q&A
A second senior engineer reviews the audit for completeness
Each engagement covers each phase. The depth applied to any one phase depends on what we find: security issues in your authentication layer get more attention; absence of issues means we move on.
You will notice "product soul" in our strategic audit. AI has no soul of its own, so we check for the three things only people supply: beauty, true creativity rather than AI slop; accountability, someone who owns the consequences and knows where to lock AI down; and love, real care for you and the people your software serves rather than automated stand-ins. It is the same lens we teach in our free executive briefing.
A fixed price for a structured engagement. No hidden costs, no scope creep, no surprises.
What’s included
Scope cap
Audits at this price cover codebases up to roughly 10,000 lines of code in a single primary application, in domains we can assess without specialized subject-matter knowledge. Larger codebases, multi-system architectures, systems with significant third-party integrations, or systems in specialized domains — where requirements and expectations are not clearly documented and subject-area expertise is needed to evaluate them — are scoped and quoted separately before work begins.
If the audit report does not identify meaningful issues you can act on, we refund the fee in full.
Yes, at a price we scope before work begins. Contact us with a short description of your codebase (size, frameworks, integrations) and we will quote a custom audit. We use the same framework; the price reflects the larger scope.
Anything that runs in production. Our senior engineers work across JavaScript/TypeScript, Python, Ruby, Go, PHP, and the typical AI-prototyping platforms (Replit, Lovable, Cursor, v0, Vercel deployments, Netlify deployments). If your stack is unusual, ask us before purchasing.
Yes. The audit work is the same regardless of verdict, and a rebuild verdict often carries the highest practical value; it stops you from investing more time and money in something that will not scale. It also gives you a clearer, better-informed foundation for the rebuild itself, not just a reason to avoid premature spend. We route rebuild-verdict clients into a Multiplication Sprint conversation to scope the right replacement.
Our Terms of Service, which come into force when you check out, bind us to keep the information you share with us for the audit confidential. If you would like an additional NDA, please let us know and we will be happy to provide one.
If the audit report does not identify meaningful issues you can act on, we will refund the fee in full. We have not yet had to issue a refund (there are always meaningful issues in AI-prototyped systems), but the offer stands.
We currently maintain capacity for 4 active audits at any time. If you purchase when capacity is full, you receive a confirmed slot for the next available audit window and a clear date for delivery.
The Production Readiness Audit is for:
YouMultiply is built on a Christian foundation. We don’t require our clients to share our faith. We do require shared standards: excellent work, clear communication, wise stewardship, measurable outcomes.
Most leaders have a portfolio of AI-prototyped tools, not just one. If you need several systems reviewed, we run audits as a coordinated batch so your team can act on all of them at once.
Each system gets the same rigorous, human-written verdict, and the engagement is scoped and priced as one package. Tell us how many systems you’d like audited, and we’ll build a volume engagement around your timeline.
Seven business days from now, you have a clear verdict and a clear path forward.
Purchase the audit — $6,500Still need to build your AI solution? Build one using our Build Session ($500) and get a 20% discount when you are ready to audit it.
YouMultiply is a technology partner for Christian business owners and standards-aligned leaders. We help you decide what to build, audit what you've prototyped, and turn the highest-leverage opportunities into production systems. Founded 2019. Globally distributed. Incorporated in Delaware.