Most products don't fail because of one big mistake. They fail because of small gaps nobody checked: a missing timeout, a database without indexes, an AI feature with no fallback, or an alert that was never set up. The Codersarts Launch Readiness Audit finds those gaps first, in one to two weeks, at a fixed price.
What Is a Launch Readiness Audit?
A Launch Readiness Audit is a fixed-price production readiness review of your architecture, code, cloud setup and AI layer. Engineers test the system the way real users, traffic and outages will, then deliver a Launch Readiness Score, a risk register, load test results and a prioritized 90-day roadmap.
It answers one question: is this product ready for what's coming, and if not, what needs to change? The audit is the entry point to Launch & Scale Engineering, and its roadmap can be implemented by your team or by ours.
At a Glance
Item | Detail |
|---|---|
Duration | 1 to 2 weeks, depending on system size |
Price | Fixed, from $1,500 |
Areas reviewed | Architecture, performance, AI and LLM layer, cloud and deployment, monitoring, security and operations |
Access needed | Read-only access to code and cloud console |
Impact on production | None. Load tests and failure simulations run on staging or a copy |
Main outputs | Launch Readiness Score, risk register, load test report, architecture diagram, 90-day roadmap |
Confidentiality | NDA signed before we receive anything |
Why Is Launching Without an Audit a Gamble?
In development, small gaps stay hidden. Test data is small, traffic is light, and every provider is up. Under real traffic, those gaps surface one by one, usually during a launch, a campaign or an enterprise onboarding.
Fixing them after users find them costs more: lost signups, refunds, support load, emergency engineering time and damaged trust. Fixing them before launch usually costs a few days of focused work. The audit tells you exactly which few days of work matter most.
Signs You Need a Launch Readiness Audit
If two or more of these sound like your product, an audit will pay for itself:
You're launching in the next few weeks and have never load-tested the system.
Your product was built fast, by a freelancer, an agency or an earlier team, and nobody has reviewed it since.
You don't know what happens if OpenAI, Stripe or another key provider goes down.
There are no alerts, so you'd find out about an outage from a customer.
Your cloud or LLM bill is rising and nobody can explain exactly why.
You're raising funds or signing an enterprise client, and need proof the system can scale.
Your team keeps firefighting the same issues instead of building new features.
What Does the Audit Review?
The audit covers six areas. Each one is scored, so you can see at a glance where your system is strong and where it's exposed.
Area | What we check | Questions we answer |
|---|---|---|
Architecture and scalability | System design, single points of failure, load balancing, caching, queues, database design | Can this handle 10x today's traffic? What breaks first? |
Performance | Load test results, response times, slow queries, bottlenecks under concurrency | How fast is it under real load, and where does it slow down? |
AI and LLM layer | Provider fallbacks, timeouts, output validation, agent limits, prompt handling, cost per request | What happens when the model fails, loops or returns bad output? |
Cloud and deployment | Infrastructure setup, CI/CD, rollback process, environment separation, backups | Can you ship safely and recover quickly from a bad release? |
Monitoring and visibility | Logging, alerts, dashboards, request and LLM tracing | Will your team know about a problem before customers do? |
Security and operations | Secrets handling, access control, dependency risks, runbooks, incident readiness | Is basic security hygiene in place, and does anyone know what to do when things fail? |
We adapt the depth of each area to your product. An AI agent platform gets a deeper AI review, and a high-traffic marketplace gets more load testing.
How Does the Audit Work?
Step | What happens | When |
|---|---|---|
1. Kickoff call | We learn your product, users, traffic expectations and biggest worries. You share read-only access to code and infrastructure. | Day 1 |
2. Deep review | Our engineers review architecture, code, cloud setup, AI layer, monitoring and security. | Days 2 to 5 |
3. Load and failure testing | We run load tests at realistic and peak volumes and simulate key failures, such as a provider outage or a slow database, in a safe environment. | Days 4 to 8 |
4. Report and roadmap | We score every area, document each risk with its impact, and build a prioritized fix plan. | Days 8 to 10 |
5. Walkthrough call | We walk your team through the findings, answer questions and agree next steps. | Final day |
We never make changes to your production environment during an audit.
What Do You Receive?
Launch Readiness Score: an overall score out of 100, plus a score for each of the six areas
Risk register: every issue found, rated by severity and likelihood, with a plain-English explanation of its business impact
Load test report: how your system performs at current, 5x and 10x traffic, and where it breaks
Architecture diagram: your current system, with failure points and bottlenecks marked
90-day roadmap: fixes grouped into before launch, next 30 days and next 90 days, with effort estimates
Walkthrough session: a recorded call with your team covering every finding
The report is written for both founders and engineers. Business owners see what's at risk and what it costs to fix. Developers get the technical detail to act on it.
What Does the Launch Readiness Score Mean?
Score | What it means | Typical next step |
|---|---|---|
80 to 100 | Launch-ready, with minor improvements only | Fix small items and launch with monitoring in place |
60 to 79 | Mostly ready, with a few serious gaps | Address high-risk items before launch, the rest within 30 days |
40 to 59 | Significant risk under real traffic | A focused hardening sprint before scaling marketing or users |
Below 40 | Likely to fail under load or during outages | Prioritize stability work before launch |
What Do Audits Typically Uncover?
Every system is different, but these findings come up again and again:
LLM calls with no timeout, so one slow response freezes the whole app
No fallback model, so a single provider outage takes every AI feature offline
Database queries that run fine on test data but take seconds on production volumes
The whole product running on one server, with no automatic recovery
Manual deploys, with no quick way to roll back
API keys and secrets stored in code repositories
Agents with no step or cost limit, able to run up large bills in minutes
Launch Readiness Audit vs Other Reviews
Code review | Security audit | Launch Readiness Audit | |
|---|---|---|---|
Main question | Is the code well written? | Can the system be attacked? | Will the product survive real traffic and failures? |
Load testing | No | No | Yes, at current, 5x and 10x traffic |
AI and LLM reliability | Rarely | Rarely | Yes, fallbacks, limits, validation and cost |
Infrastructure and deploys | Limited | Partly | Yes, CI/CD, rollback, backups, environments |
Output | Comments on code | Vulnerability list | Scored report, risk register and 90-day roadmap |
For a dedicated security or source code review, see our audit services and security engineering.
Who Is the Launch Readiness Audit For?
Buyer | Typical situation | What the audit gives them |
|---|---|---|
Founders | Launch, campaign or funding round coming up | A plain-English score and a list of what to fix first |
CTOs and tech leads | Inherited code or a fast-built MVP | An independent second opinion and a prioritized backlog |
Product teams | AI feature moving from beta to general release | Evidence that fallbacks, limits and evals are in place |
Agencies | Handing a client build over to production | A readiness report to share with the client |
Investors and acquirers | Technical due diligence on a portfolio product | A scored, documented view of scalability and risk |
Example Scenario: From Audit to Action
This is an illustrative scenario based on problems we commonly see. It shows our approach, not the results of a specific client project.
A SaaS startup is two weeks from a major launch. Its AI support assistant works well in testing, but nobody has checked how it behaves under real traffic. An audit like this would typically find no timeouts on LLM calls, no fallback provider, and a database query that slows sharply at a few hundred concurrent users. The roadmap would put those three fixes in the before launch group, with monitoring and rollback next, so the team fixes the highest-risk items first instead of guessing.
Pricing
Package | Best for | Includes | Timeline | Price |
|---|---|---|---|---|
Essential Audit | MVPs and early-stage products | All six areas reviewed, load test up to 5x, scored report, 90-day roadmap | 1 week | From $1,500 |
Complete Audit | Live products, AI platforms, products preparing to scale | Everything in Essential, plus deeper AI review, failure simulations, load test at 10x and a recorded team walkthrough | 2 weeks | From $3,000 |
If you continue with implementation within 30 days, we credit 50% of the audit fee toward it.
What Happens After the Audit?
The roadmap is yours to keep. Your team can implement it, or we can do it for you:
AI Hardening: fallbacks, guardrails, evals and cost controls
System Design & Scalability: architecture, caching, queues and load testing
Deployment Engineering: CI/CD, autoscaling and safe releases
Monitoring & Observability: dashboards, alerts and tracing
Post-Launch Support: ongoing care with SLA-backed plans
Frequently Asked Questions
How long does the Launch Readiness Audit take?
The Essential Audit takes about one week and the Complete Audit about two weeks. We confirm the timeline for larger systems before we start.
What access do you need?
Read-only access to your code repository and cloud console, plus any existing documentation. We sign an NDA before receiving anything.
Will the audit affect my live product?
No. We review code and configuration without changing anything, and load tests run against staging or a copy environment.
Can you audit a product another team or agency built?
Yes. Most audits are on code we didn't write, and the process is designed to get up to speed on an unfamiliar system quickly.
Do you audit AI and LLM-based products?
Yes. We review model fallbacks, output validation, agent limits, prompt handling, evaluation setup and cost per request.
What if my product is already live?
That works too. The audit helps a live product fix the right things in the right order.
Do we have to hire Codersarts to implement the fixes?
No. The roadmap is written so your own team can act on it, and if you choose us we credit 50% of the audit fee.
Is the audit useful for fundraising or enterprise sales?
Yes. A scored, independent review of architecture and scalability is useful evidence for investors and for enterprise technical due diligence.
Find Out If Your Product Is Ready
Tell us about your product, your launch stage and anything you're worried about. We'll confirm the right audit package and send you a fixed quote.