What does production-ready actually mean in concrete terms?

To make an AI MVP production-ready means the app runs reliably not only in the demo but also under real users, load and failure cases. That includes access protection, a tested recovery, clean error behaviour, monitoring and a rollback path. We review exactly these points before real users and rank every finding by severity.

Is checking once before launch enough?

For the launch itself a Baseline is a sensible starting point. But as soon as the app is live, the state shifts with every feature and every new CVE. That is why we treat production readiness as an ongoing operations question: make it production-ready once, then keep it under ongoing technical oversight with Watch, Guard or Launch.

Do you do the fixes yourselves?

Not within the plan. We review, prioritise and explain what to do before launch. Implementation runs separately through Wevelsiep Advisory or WZ-IT, or your own team. That keeps the review independent from the implementation.

Do you need repo and infrastructure access?

For the review, read access to the repository is usually enough, read-only by default. For infrastructure, deployment and monitoring we look at the configuration together with you. We do not need write access, because we do not commit the fixes ourselves.

Which plan fits an upcoming launch?

For the active launch phase, Launch at 1.490 € per month is the fit: ongoing oversight plus a pre-release check before each release and a direct channel with a short response time. Before that we recommend a Baseline at 490 € as an assessment. Stable products with little movement are well served by Watch from 299 €.

The entry point is fixed: Snapshot 249 € and Baseline 490 € as one-off reviews. Ongoing oversight starts at 299 € per month (Watch), then Guard at 749 €, Launch at 1.490 € and Scale from 2.900 € per month. All prices are net plus VAT, plans cancellable monthly.

Production Readiness

Make your AI app production-ready, spot technical risks before real users

An AI-built app runs in the demo, but does it hold up under real users, load and failure cases? Veriploy reviews what really matters before launch, auth, database, APIs, deployment, monitoring and CVEs, and keeps the app under ongoing technical oversight afterwards, instead of stopping at a snapshot.

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Launch risk checklist
Repo + CVE + infrastructure
Ongoing oversight, not a one-off audit
German point of contact

Technical 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.

For questions like:

Is this release ready for production?
Which CVEs are really critical?
Will the architecture carry the next users?

The demo runs, production is something else

To make an AI MVP production-ready is not just about keeping it running. A demo shows the ideal case, production shows everything else. Most teams underestimate this gap:

In the demo, the founder clicks through the happy path, with clean inputs, a single user and no load. Real users do the opposite: they send broken data, double-click, arrive at the same time, poke at endpoints and hit errors that never showed up in the demo.

AI tools optimise for exactly that demo. They quickly ship something that works, but rarely make the decisions that matter for real operation: what happens on an error, who is allowed to see which data, how you recover after an outage, and how you even notice that something broke.

Production-ready means the app holds up not only on the ideal day but also on the bad one. We make exactly this difference between demo and production visible before real users, with concrete findings instead of a green gut feeling.

Launch risk checklist

Before real users hit your app, we run through a fixed list and rank every finding by severity. These points decide production readiness:

Auth: roles and permissions model, session handling, no open endpoints
Database: tenant isolation, RLS and policies, no unprotected access
APIs: validation, rate limiting, error handling on open interfaces
Deployment: reproducible builds, separated environments, no hand deploys
Monitoring: alerts and health checks so outages are not reported by users first
Backups: regular backups and a tested recovery path
Logging: traceable error trails without secrets or personal data in plain text
CVEs: known vulnerabilities in the packages and dependencies you use
Rollback: a defined way back to the last working version
Secrets: no API keys or credentials in the frontend or the repository

What needs checking before real users

Not every finding is a showstopper, but some points belong before the first real user, not after. Before launch we look specifically at:

Access protection: can a user see or change another tenant's data?
Data loss: is there a backup, and can it actually be restored?
Load and concurrency: does anything break when several users work in parallel?
Error behaviour: does the app show clean messages or stack traces and raw data?
Visibility: do you notice an outage yourself, or hear it from the customer?
Cost and limits: do open AI or API endpoints run up the bill unchecked?

Production readiness is not a one-off question

Ticking off a checklist on launch day feels like the finish line, but it is only a snapshot. As soon as the app is live, the state shifts with every new feature: new endpoints, new dependencies, new attack surface, and every week new CVEs surface in packages that were clean on launch day.

AI-built code accelerates that movement further. Features ship in days instead of weeks, and every prompt shifts the architecture a little. Production readiness is therefore not a property you reach once, but a state you have to hold.

Veriploy treats production readiness as an ongoing operations question: you make the app production-ready before launch (Snapshot or Baseline) and then keep it under ongoing technical oversight. New dependencies and CVEs are watched, risky changes are flagged early, and before larger releases you get a human judgement instead of an automated score.

Launch plan: support beyond launch day

For the step from prototype to real product, Launch is the plan that fits. It covers the phase where the most happens before and after launch, with fixed monthly support instead of a one-off check.

	Baseline 490 €	Watch 299 €/mo	Launch 1.490 €/mo
Role	One-off assessment before launch	Ongoing baseline monitoring after launch	Close support around the launch
Launch checklist	Full run-through as a baseline	Regular repeat of the core points	Ongoing, plus a pre-release check before each release
CVEs and dependencies	Full baseline as a reference point	Ongoing monitoring with heads-ups	Ongoing monitoring with prioritised alerts
Support	One-off, with a recommendation for the right plan	Reports and heads-ups on a standard cadence	Async sparring and a direct channel with a short response time
Best for	Clean starting point before launch	Stable products with little movement	Active launch and growth phase

Example finding

What a finding looks like

veriploy-reportHigh

OPS-04Backups and recovery

Database backups run, but have never been restored and a restore is not documented. In an emergency it is unclear whether and how fast data can be recovered. Recommendation: test the restore before launch and document the recovery path.

Comparison

Check once before launch or secure it continuously?

	Check on launch day	Veriploy ongoing
Timing	Point-in-time snapshot at launch	Continuous, with every new change
CVEs and dependencies	State on launch day	Ongoing monitoring with alerts
New features after launch	Not covered	Risky changes are flagged early
Before the next release	Another check needed	Pre-release check included in the plan
Assessment	Checklist ticked off at launch	Human prioritisation, not just a score

FAQ

Frequently asked questions

What does production-ready actually mean in concrete terms?
To make an AI MVP production-ready means the app runs reliably not only in the demo but also under real users, load and failure cases. That includes access protection, a tested recovery, clean error behaviour, monitoring and a rollback path. We review exactly these points before real users and rank every finding by severity.
Is checking once before launch enough?
For the launch itself a Baseline is a sensible starting point. But as soon as the app is live, the state shifts with every feature and every new CVE. That is why we treat production readiness as an ongoing operations question: make it production-ready once, then keep it under ongoing technical oversight with Watch, Guard or Launch.
Do you do the fixes yourselves?
Not within the plan. We review, prioritise and explain what to do before launch. Implementation runs separately through Wevelsiep Advisory or WZ-IT, or your own team. That keeps the review independent from the implementation.
Do you need repo and infrastructure access?
For the review, read access to the repository is usually enough, read-only by default. For infrastructure, deployment and monitoring we look at the configuration together with you. We do not need write access, because we do not commit the fixes ourselves.
Which plan fits an upcoming launch?
For the active launch phase, Launch at 1.490 € per month is the fit: ongoing oversight plus a pre-release check before each release and a direct channel with a short response time. Before that we recommend a Baseline at 490 € as an assessment. Stable products with little movement are well served by Watch from 299 €.
What does it cost?
The entry point is fixed: Snapshot 249 € and Baseline 490 € as one-off reviews. Ongoing oversight starts at 299 € per month (Watch), then Guard at 749 €, Launch at 1.490 € and Scale from 2.900 € per month. All prices are net plus VAT, plans cancellable monthly.

Check your launch fit before real users hit your app.

Start with a Baseline before launch, then ongoing oversight in the plan that fits.

View packages