Launch-readiness review for AI-built products, go or no-go before you deploy
Before a launch, gut feeling does not count, a clear decision does. I run a SaaS launch check on your AI-built product, covering security, RLS, backups, monitoring, rate limits and CVEs, and give you a traceable go or no-go before real users hit the system.
- Go or no-go recommendation
- Launch plan from 3.900 €/mo
- Security + RLS + backups + monitoring
- German point of contact
Direct point of contact
Timo Wevelsiep
Software engineer, cloud architect, founder & managing director
I review code, security and infrastructure and surface what is technically risky before launch, customer use or due diligence.
I have delivered production software, infrastructure and cloud systems for clients worldwide, including Europe, the UAE, Asia, Australia and the Americas: from automated multi-location platforms and cloud migrations to remote access systems for industrial plants.
For questions like:
- Is this release production-ready?
- Which CVEs are really critical?
- Are auth, data access and tenant isolation clean?
What a launch-readiness review checks
A go-live check looks at the points that can break on the first real traffic. We check each one and rank findings by severity:
- Security and access control: auth, roles, exposed secrets before go-live
- Database and RLS: tenant isolation, policies, protection of other tenants' records
- Backups and recovery: is there a plan and has it been tested
- Monitoring and logging: failures become visible before users report them
- Rate limits: open endpoints protected against abuse and load spikes
- CVEs and dependencies: known vulnerabilities in the packages you use
- Rollback: a defined way back if the launch goes wrong
A clear go or no-go recommendation
A launch-readiness review does not end with a long list that nobody works through. It ends with a decision: go, when nothing blocks the start, or no-go, when critical findings need to be fixed first.
Every finding gets a severity and a reason why it blocks the launch or not. That way you know exactly what is mandatory before deploy and what can be handled later in ongoing operations.
The judgement comes from a person, not an automated score. I prioritise by real risk to your launch instead of weighting every hit the same.
Especially relevant with real users, payments and customer data
As long as only you test the app, it forgives a lot. The moment real users, payments or customer data come in, the same gaps get expensive. A go-live check pays off especially when one of these applies:
Sample report with a clear recommendation
The report stays short and decidable: the recommendation on top, below it the blocking findings with severity and reasoning, then the items for the ongoing backlog. Here is what a typical result looks like.
Recommendation: no launch before fixing RLS-01 and AUTH-02. Both findings are critical and concern other tenants' customer data. Once they are fixed and re-checked, nothing stands in the way of go-live.
Below follow medium and low priority findings: a missing rate limit on login, an outdated package with a known CVE and monitoring that does not yet alert on failures. These do not block the launch but should be handled soon.
The Launch plan
The launch-readiness review is part of the Launch plan: a one-off go-live check plus ongoing oversight in the hot phase around the start. Prices are fixed and transparent.
| Baseline 790 € | Launch 3.900 €/mo | |
|---|---|---|
| Scope | Deep initial baseline: repo, architecture, dependencies, config | Launch-readiness review plus ongoing oversight around the start |
| Go or no-go | Risk dashboard as a basis for the decision | Clear go or no-go recommendation with reasoning |
| Before launch | Clean reference point before go-live | Targeted check for launch blockers and a re-check after fixes |
| Support | One-off, with a recommendation for the right plan | Async sparring and a direct channel during the launch phase |
| Best for | Clean starting point before any plan | Products shortly before a real go-live |
How the launch-readiness review works
- 01
Clarify the launch context
First we clarify what is at stake: first customers, an enterprise pilot, an investor conversation, a public demo, customer data, payments or an internal production system.
- 02
Check the critical areas
I review the areas that are especially risky before launch: auth, roles, RLS and tenant isolation, API, payments, dependencies, CVEs, backups, monitoring, logging, deployment and rollback.
- 03
Prioritise launch risks
Findings are sorted by whether they block the launch, should be fixed beforehand or can be scheduled for later.
- 04
Go/no-go assessment
The result is not a security guarantee but a technical go/no-go recommendation with clear reasoning and priorities.
- 05
Support through to deploy
Around launch or scale, critical release, security and CVE questions can be prioritised and triaged during business hours, with sparring calls available between reviews.
Many projects start with a Baseline review. If the product keeps being developed with AI afterwards, I can support it on an ongoing basis.
What I need for the review
- read-only access to the repository
- a short description of stack, tool and goal
- details on hosting and deployment
- database and auth context
- pointers to sensitive data or user roles
- open questions or specific concerns
What the review delivers
- an understandable risk rating
- top risks at a glance
- prioritised findings
- concrete recommendations for action
- guidance: fix now, fix before launch, schedule for later
- optional recommendation for Oversight, Guard or Launch
What a finding looks like
Login endpoint without rate limit and without server-side role check, combined with incomplete Supabase RLS (RLS-01). Recommendation: no launch before fixing RLS-01 and AUTH-02.
Decide yourself or run a launch-readiness review?
| Gut feeling at launch | Veriploy launch readiness | |
|---|---|---|
| Decision | Feels done, without a clear yardstick | Traceable go or no-go |
| Launch blockers | Often surface only on real traffic | Critical findings named before deploy |
| RLS and customer data | Hard to judge on your own | Tenant isolation checked specifically |
| After the fixes | No defined re-check | Re-check whether blockers are really gone |
| Assessment | Your own gut feeling | Human prioritisation by real risk |
Frequently asked questions
What is a launch-readiness review?
A launch-readiness review is a targeted go-live check shortly before deploy, in short a SaaS launch check. We check security, RLS, backups, monitoring, rate limits and CVEs of your AI-built product and end with a clear go or no-go recommendation with reasoning, instead of just ticking off a list.
What does the go or no-go recommendation mean in practice?
Go means: nothing blocks the start, you can deploy. No-go means: at least one critical finding has to be fixed first, for example no launch before fixing RLS-01 and AUTH-02. Every finding has a severity and a reason, so it is clear what is mandatory before launch.
When is a launch-readiness review especially worth it?
Above all when real users, payments or customer data come into play. The moment several tenants sit on one database, a checkout flow is attached or a fixed launch date with marketing is behind it, the same gaps suddenly get expensive. That is exactly what the check is for.
Do you also do the fixes before launch?
Not within the plan. We review, prioritise and explain what needs to be done before go-live. Implementation runs separately through Wevelsiep Advisory or WZ-IT, or your own team. After the fixes we re-check whether the launch blockers are really gone.
What does the launch-readiness review cost?
The launch-readiness review is part of the Launch plan at 3.900 € per month. If you first need an assessment, start with Baseline 790 € as a one-off. All prices net plus VAT. Ongoing packages start with a 3-month minimum term, then cancelable monthly, unless agreed otherwise.
How fast do I get the result before launch?
Schedule the review a few business days before the planned go-live so there is time for fixes and a re-check. On critical launch blockers we reach out promptly instead of making you wait for the finished report.
- Make your AI app production-ready, spot technical risks before real users
- Infrastructure audit for AI-built software, review your deployment, backups, monitoring and secrets
- Get your Bolt app reviewed before architecture and auth become a problem
- Get your AI app reviewed, with ongoing technical oversight instead of a one-off gut check
Do you recognize these risks in your own app?
The AI-app risk self-check assesses product status, stack, auth, data access, infrastructure, CVEs and your technical knowledge, and shows whether a review makes sense.
Check launch fit before real users hit your product.
Get a clear go or no-go before you deploy, in the Launch plan.
Check repo fit
Briefly describe the project.
Direct contact with me, no anonymous ticket system. I get back to you with a first assessment and the right entry point.
Timo Wevelsiep
Software engineer, cloud architect, founder & managing director