Infrastructure audit for AI-built software, review your deployment, backups, monitoring and secrets
AI ships the app in days, but the infrastructure around it often grows on the side. A proper SaaS infrastructure review looks beyond the code: I review the deployment, backups, monitoring, logging and secrets of your AI-built software and keep the infrastructure under ongoing technical oversight afterwards, instead of stopping at a one-off audit.
- Baseline from 790 €
- Fixed monthly plans
- Repo + CVE + infrastructure
- 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 counts as infrastructure
Infrastructure is more than the code in the repo. It decides whether the app stays online, whether data survives and whether failures are traceable. These are the building blocks we look at:
Common gaps in AI apps
AI tools produce a working app fast, but they rarely make the operations decisions that real production needs. These are the infrastructure gaps we find most often:
- A backup exists but a restore was never actually tested
- No monitoring and no alerts when things break
- Secrets and API keys sit in the repository or in the frontend
- Manual deployment with no reproducible process
- No separation between staging and production
- Logging is missing or vanishes without any retention
- Database access with overly broad permissions
- Open endpoints with no rate limiting at all
What I review
We look at the infrastructure points that decide production readiness and rank every finding by severity. We review:
- Hosting and deployment: reproducible release, staging and prod separation
- Backups and restore: existence, frequency and a tested recovery
- Monitoring and alerting: availability, error rates, notification paths
- Logging: what is recorded, where it lives, how long it stays
- Secrets management: storage, rotation, separation from the code
- Database and access: roles, permissions, rate limits on endpoints
One audit is not enough: ongoing Infrastructure Watch
A one-off audit describes yesterday's infrastructure. AI-built software moves fast: a new deployment target, an additional service or a moved secret changes the risk picture within days. An audit report that is four weeks old no longer covers that movement.
That is why I add ongoing oversight after the first audit. You get the infrastructure reviewed once (Baseline) and then keep it under ongoing technical oversight with Oversight, Guard or Launch, instead of archiving the result in your inbox.
That keeps the infrastructure picture current: backups and restore capability are kept in view, new services and changed access are flagged early, and before larger releases you get a human deployment audit with a judgement instead of an automated score.
Baseline vs. ongoing plan
You start with a one-off audit and then decide whether ongoing oversight makes sense. Prices are fixed and transparent.
| Baseline 790 € | Plan from 990 €/mo | |
|---|---|---|
| Scope | Deep initial baseline: hosting, deployment, backups, secrets, access | Recurring reviews based on the baseline |
| Result | Risk dashboard, backup and restore check, secrets check, recommendation | Recurring reports with fix prioritisation |
| Backups and monitoring | Full baseline as a reference point | Ongoing watch on backups, monitoring and access |
| Support | One-off, with a recommendation for the right plan | Async sparring and a direct channel by plan |
| Best for | Clean starting point before any plan | Products that keep evolving |
How the infrastructure review works
- 01
01 Free fit check
A short first call clarifies how the AI-built software is operated and where it hurts. From that we decide whether a Baseline or direct ongoing oversight fits. The fit check is free and non-binding.
- 02
02 Scope and access
We define which environments, repositories and configurations belong in the review. I get read-only access to the repository plus a view of deployment, backups, monitoring and secrets. No write access is needed.
- 03
03 Technical analysis
At the core I review the deployment and release process, backups including a tested restore, secrets and key management, monitoring and alerting, plus hosting and the separation of staging and production. Every finding is ranked by severity.
- 04
04 Report and recommendations
The result is a readable report with a risk dashboard, the top risks at a glance and prioritised findings. Every point comes with a concrete recommendation instead of just a score.
- 05
05 Next step
Out of the Baseline comes the decision whether ongoing oversight makes sense. If the product keeps being built with AI, I keep the infrastructure under ongoing technical oversight with Oversight, Guard or Launch.
Many projects start with a Baseline review. If the product keeps being built with AI afterwards, I can keep it under ongoing oversight.
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
- notes on sensitive data or user roles
- open questions or specific concerns
What the review delivers
- an understandable risk dashboard
- the top risks at a glance
- prioritised findings
- concrete recommendations for action
- guidance: fix now, fix before launch, plan for later
- an optional recommendation for Oversight, Guard or Launch
What a finding looks like
Daily backups run, but a restore has never been tested. In an emergency it is unclear whether the data is recoverable. Recommendation: run and document a restore test in an isolated environment.
One-off audit or ongoing oversight?
| One-off audit | Veriploy ongoing | |
|---|---|---|
| Timing | Point-in-time snapshot on a fixed date | Continuous, with every new change |
| Backups and restore | State on the audit day | Ongoing watch with a heads-up on gaps |
| New services | Not covered | Changed infrastructure is flagged early |
| Before a release | Another audit needed | Human judgement included in the plan |
| Assessment | Action plan at the end | Human prioritisation, not just a score |
Frequently asked questions
What exactly does an infrastructure audit review?
We look at hosting, deployment, CI/CD, backups, monitoring, logging, secrets management, database access and rate limits. The goal is to judge whether the infrastructure of your AI-built software can carry operation with real users, and to rank every finding by severity.
Do you also test whether backups actually work?
We check whether backups exist, how often they run and whether a restore was ever tested. A backup without a tested restore is a common and critical finding. We recommend and guide the actual restore test, while implementation runs through your team or through Wevelsiep Advisory.
Do you need access to hosting and the repo?
For the infrastructure, read access is usually enough: read-only on the repository plus a view of deployment, monitoring and backup configuration. We do not need write access, because we do not implement the changes ourselves.
Do you also do the fixes?
Not within the plan. We review, prioritise and explain what needs to change in the infrastructure. Implementation runs separately through Wevelsiep Advisory or WZ-IT, or your own team. That keeps the audit independent from the implementation.
What does it cost?
The entry point is fixed: Baseline 790 € as a one-off audit. Ongoing oversight starts at 990 € per month (Oversight), then Guard at 1.950 € and Launch at 3.900 € per month, with larger setups available on request via Scale. All prices net plus VAT. Ongoing packages start with a 3-month minimum term, then cancelable monthly, unless agreed otherwise.
What is the Infrastructure Watch?
It is the ongoing oversight after the first audit. Instead of a one-off report, we keep backups, monitoring, secrets and access in view continuously, flag risky changes early and reach out before larger releases with a human judgement.
- CVE monitoring for SaaS and AI-built software, with human prioritisation
- Make your AI app production-ready, spot technical risks before real users
- Launch-readiness review for AI-built products, go or no-go before you deploy
- Get your Supabase RLS reviewed before user data leaks through the wrong policies
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.
Get your infrastructure reviewed and keep it monitored afterwards.
Start with the Baseline, then ongoing oversight in the plan that fits.
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