From AI pilot to reliable production system

Your AI pilot works in the demo. Under real load, costs, edge cases, missing approvals, and compliance risks appear.

I identify these production blockers and take your pilot into reliable operations in 2 to 6 weeks, with monitoring, clear ownership, and rollback.

Why AI pilots fail in production

Technology is rarely the bottleneck. What stops pilots are the issues that only show up under real load:

• Costs at production volume instead of demo volume
• Edge cases and failure modes that never occurred in testing
• Missing approvals: nobody defined what the system may decide on its own
• GDPR, EU AI Act, and data residency gaps that must close before go-live
• No monitoring, no clear ownership, no rollback

The path to production: three steps

1. Check: production-readiness audit

A fixed-price analysis with a fixed deliverable: what exactly stands between your pilot and a system that runs unattended. Prioritized risks, required architecture changes, a cost model at production volume, and a roadmap to go-live. See the production audit ($1,900 fixed) →

2. Build: fixed price with milestones

You get a scope with a fixed price and acceptance criteria within 24 hours. Delivery integrates with your existing system landscape: SAP, Microsoft 365, your CRM. See a sample fixed-price scope →

3. Harden: operations instead of a permanent construction site

Monitoring, approvals, sandboxing, error handling, and rollback. So the system can work unattended without acting unchecked. Handover with clear ownership for your team.

Results from projects

• Enterprise AI for PII redaction in sensitive documents: run locally, GDPR-compliant
• Self-hosted voice AI platform for teams with data residency requirements
• AI decision platform for enterprise transformations
• AI revenue prioritization directly in HubSpot CRM

All projects: see the case studies

Why me

19 years in enterprise IT, 50+ delivered projects, today an AI automation and integration consultant for DACH companies. I read your pilot the way the systems read it that must integrate with it. Testimonials and background: about me.

Further reading

• Self-Hosted LLM on Kubernetes: A Production vLLM Deployment
• n8n AI Agent Workflow Examples: 5 Production Patterns

How to start

We start with a free 30-minute call. You describe where your pilot stands. I tell you what separates it from reliable operations and whether the audit is the right next step.