Production Hardening
Your AI pilot is built. We make it fit for operation, without rebuilding it.
A pilot is not yet a system
Your agent already exists, often as a prototype from another agency. It works in the demo. What’s missing is everything that happens at the edges in day-to-day use.
The data is unclear, a tool fails, a decision has consequences. These are exactly the cases the pilot usually doesn’t handle at all.
We don’t rewrite the agent. We assume these cases will occur and give each of them defined, verifiable behaviour. After that it’s ready for approval.
Autonomous, until a limit is reached
In the demo the agent runs through smoothly. In production, what matters is what happens at the edges: the data is unclear, a tool fails, a decision has consequences. The agent works the loop on its own and steps out to a human exactly there.
Autonomy where it holds. A human where it matters. Every run lands in the audit log.
What we do
Six things that turn a pilot into a robust system
Error handling & fallback
What happens when a step or a tool fails: a defined fallback logic instead of a silent wrong answer.
Securing edge cases
The pilot runs in the normal case. We find the cases underneath and give them defined behaviour.
Robust tool use
Every call to another system is checked. Timeouts and errors are caught, not passed along.
Human-in-the-loop
Above a defined threshold a human confirms, with an interface and a log. The agent doesn’t carry on blind.
Result checking
The agent checks its intermediate results before acting. Claims that can’t be substantiated are flagged.
Reliability under load
How the agent behaves under real volume: repeatable, with clear limits on time and cost per task.
Project example
A pilot that knew when to ask a human
Document pilot taken into production
A company in testing and audit had a working pilot that recognizes document formats and extracts data points. It wasn’t allowed into production because no one had a grip on the uncertain cases. We didn’t rebuild the pilot, we made it fit for operation: every document whose confidence falls below a defined threshold goes to a reviewer with the doubtful spots flagged, instead of being processed silently wrong. Manual rework dropped significantly, and no uncertain case slips through unnoticed anymore.
Significantly less manual rework
Every uncertain case goes to a reviewer automatically
No document slips through wrong unnoticed
Seven more building blocks to a production system
AI Readiness Assessment
Inventory, vulnerability analysis and roadmap to production. In 10 working days.
Learn morePrivate AI & On-Premises
Run AI inside your own building: local models, your own hardware, full data sovereignty.
Learn moreAI Security & Compliance
Hardening, ISO-oriented evidence and data protection for the AI operation.
Learn moreAgent Governance & Guardrails
Permissions, tool access, approval workflows and complete audit logs.
Learn moreAI Infrastructure & Deployment
Cloud, data pipelines, version control and deployment with rollback.
Learn moreEnterprise System Integration
Connect agents to ERP, CRM and legacy. With permission model and rollback.
Learn moreEvaluation & Managed Operations
Quality checks, monitoring, early warning of quality decay and incident response in day-to-day operation.
Learn moreMake your pilot production-ready?
We start with an assessment and show what separates your agent from production today.