01
The first real rollout is approaching
An internal tool is moving into the team or a product is about to reach its first customers.
Production-ready AI software
Your AI prototype works. Will it hold up with real users?
I review and improve software built with AI or powered by AI – before it goes live with your team or your customers.
Explore the Go-Live Sprint
Explained clearly · improved hands-on · assessed independently
Production Confidence Map
AI Go-Live Sprint
Highest risk
Clearly prioritised
In the sprint
Improved and tested
Experience includes
sovity G DATA Fraunhofer ISST
When “it works” becomes responsibility
A prototype can improvise. A product cannot.
Once employees, customers, or investors depend on your software, technical uncertainty becomes business risk. That transition is where I step in.
02
Technical questions remain open
Security, scale, deployment, and maintainability are difficult to judge without engineering experience.
03
Behaviour is not dependable
Failures appear unexpectedly, results vary, or important edge cases have not been tested.
04
The economics are unclear
Operating cost, token usage, and the future cost of change are not sufficiently controlled.
The entry product
AI Go-Live Sprint
You receive more than a technical assessment: I review your system, implement the most important bounded risk hands-on, and hand over a clearly prioritised route to launch.
Delivered within ten working days
More than a report
Up to two implementation days are reserved. After the review, we select the most important bounded risk and I deliver the improvement transparently, tested, and ready for handover.
Decision, implementation, and handover
- A Go-Live Decision Memo with verdict, evidence, and prioritised risks
- Assessment of the complete relevant system – not only its AI layer
- One bounded and tested improvement implemented by me as a transparent pull request
- A prioritised go-live plan with concrete next steps
- A 60-minute final readout and handover in plain language
Clear boundaries
- One product or prototype
- One primary user journey or AI workflow
- Frontend and backend when they belong to the same product
- One deployment target
- Up to two implementation days for the selected improvement
I confirm the binding scope and fixed price after the free intro call and a brief technical pre-check.
Decision, implementation, and handover
- A Go-Live Decision Memo with verdict, evidence, and prioritised risks
- Assessment of the complete relevant system – not only its AI layer
- One bounded and tested improvement implemented by me as a transparent pull request
- A prioritised go-live plan with concrete next steps
- A 60-minute final readout and handover in plain language
Clear boundaries
- One product or prototype
- One primary user journey or AI workflow
- Frontend and backend when they belong to the same product
- One deployment target
- Up to two implementation days for the selected improvement
I confirm the binding scope and fixed price after the free intro call and a brief technical pre-check.
No hidden follow-up sale: if your system is ready, I will tell you just as clearly.
A decision, not a vague report
Ready Ready with conditions Not ready
The result is an evidence-based assessment – not a promise to rebuild any prototype completely within ten days.
Enough access for an honest verdict. Clear control for you.
Required for the sprint
- Access to the relevant source repositories
- Product walkthrough and explanation of intended behaviour
- Visibility into deployment architecture and configuration
- Permission to prepare changes separately in a branch or pull request
Useful depending on the system: Time-limited read-only access to hosting or cloud infrastructure · Logs, representative test data, and a safe test environment
Not the right scope
- There is no working prototype yet
- The core need is custom model training, computer vision, or deep data science
- The system makes regulated high-impact decisions requiring specialist certification
- A complete rebuild is expected within ten working days
You retain production control
I never change or deploy a running product without your explicit approval. If you prefer, every change is handed over for you or your team to apply.
Access and boundaries
Required for the sprint
- Access to the relevant source repositories
- Product walkthrough and explanation of intended behaviour
- Visibility into deployment architecture and configuration
- Permission to prepare changes separately in a branch or pull request
Useful depending on the system: Time-limited read-only access to hosting or cloud infrastructure · Logs, representative test data, and a safe test environment
Not the right scope
- There is no working prototype yet
- The core need is custom model training, computer vision, or deep data science
- The system makes regulated high-impact decisions requiring specialist certification
- A complete rebuild is expected within ten working days
You retain production control
I never change or deploy a running product without your explicit approval. If you prefer, every change is handed over for you or your team to apply.
Process
Four steps to a confident decision.
The sprint combines independent review with hands-on implementation. You retain control of your product throughout.
- 01
Understand
We clarify purpose, users, intended behaviour, current architecture, and the planned rollout.
- 02
Assess
I examine code, security, data, integrations, deployment, quality, operations, and cost.
- 03
Improve
We select the most important bounded risk. I implement the improvement transparently and testably.
- 04
Hand over
You receive the verdict, the change, remaining risks, and a clear order for everything that follows.
Practice example
Agentic Fitness Coach
From a single-user prototype to a controlled multi-user product foundation.
Starting point
The web application initially combined training and health data for one user. Meals, agent access, and selected invited test users raised the bar substantially.
Verdict after review
Ready with conditions
The public report presents the decision, technical findings, and evidence for the hands-on implementation package. This combination of review and bounded implementation is exactly what the Go-Live Sprint includes.
Download the public decision reportPDF · 26 pages · EnglishAreas reviewed
User and data separationControlled, with evidence to expand
Agent behaviourKnown failure tested reproducibly
OperationsBackground failures still lack alerting
CostPlausible, but not measurable per workflow
Implemented improvement
An Agent Behavior Release Gate now checks the known failure and prioritised scenarios reproducibly before a new agent version is released.
Verdict
Ready with conditions for a controlled, invitation-only pilot. A public self-service rollout or larger-scale operation is not yet approved.
How I work
Technical depth without hiding behind technical language.
You do not need an engineering background to make a sound technical decision. You need someone who makes complexity understandable and finds the real constraint.
Clear, not performative
I explain risks, options, and consequences so you can place them in a business context.
The real constraint matters
No generic checklist and no unnecessary rebuild – just a reasoned priority.
Independent verdict
My recommendation may be that you can launch without further support.
Clean handover
Changes and decisions are documented so you or a future team can take ownership.
With his strong problem-solving skills, he resolved the most complex situations for himself and other team members.
Experience includes sovity G DATA Fraunhofer ISST
FAQ
The key questions up front.
Will my product be fully production-ready – and what will you implement?
I deliberately do not promise that in every case. You receive a defensible assessment, a clear route to launch, and one tested improvement addressing the most important bounded risk – for example security, tests, deployment, failure handling, integrations, observability, or cost control. Larger changes are scoped separately.
Does the product itself need to contain AI?
No. The sprint also fits conventional software built with coding agents, no-code, or low-code tools.
What happens after the sprint – even if everything already looks healthy?
I confirm the launch with any remaining considerations and use the implementation time for a useful launch asset such as smoke tests, rollback verification, or an operations runbook. You can then launch independently, continue with your team, or involve me for a clearly scoped fixed-price milestone.
Is this a security audit or legal advice?
No. Security and data flows are part of the technical assessment, but the sprint does not replace a penetration test, certification, or legal advice.
JRKöln
About me
I combine technical care with a clear view of what you are actually trying to achieve.
I am Jan Ridderbusch, a software engineer and tech lead based in Cologne. For more than seven years I have worked on backend systems, integrations, test automation, and software that needs to perform reliably in everyday use.
For me, a launch is not about producing the longest list of technical issues. It is about identifying the decision your product actually needs now – and implementing the most important next step.
- 7+ years of backend, integration, and quality experience
- Lead Application Development in the Catena-X and dataspace ecosystem
- Experience with Java, Kotlin, Python, TypeScript, LLM applications, RAG, and agents
Free intro call
Let’s find out whether your prototype is ready for its next step.
In 30 minutes, we discuss what you built, who should use it, and whether the Go-Live Sprint is the right scope.
No-obligation fit check · no disguised consulting show · clear next recommendation