Reliable AI in day-to-day operations.
Keep AI working in production, monitored, compliant, and continuously improved. The work that most agencies skip.
- 01
Monitoring setup
Dashboards and alerts for output quality, latency, error rates, and cost. Not just infrastructure, model drift and prompt degradation tracked too.
- 02
Compliance baseline
DSGVO, EU AI Act, and DPA/AVV reviewed against your deployment. Data flows documented, processing agreements in place, risk assessment completed.
- 03
Continuous improvement
Scheduled review cycles with prompt updates, model upgrades, and workflow refinements. Improvements are scoped and delivered, not promised.
- 04
Incident response
Defined runbooks for model failures, data leaks, and unexpected outputs. On-call protocol and communication templates ready before you need them.
- 05
Team enablement
Workshops and documentation that make your team self-sufficient: prompt basics, escalation paths, and how to evaluate output quality without technical help.
Numbers that matter.
Real engagement data and client results, not projections.
Every engagement ships.
Monitoring dashboard
Real-time view of output quality, usage, latency, cost, and compliance signals. One place, no manual checking.
Compliance documentation
GDPR, EU AI Act, DPA, and DSFA maintained as living documents, updated when the law changes, not when an audit hits.
Enablement training
Ongoing team training and prompt improvement cycles so your people keep pace with the system.
Continuous improvement plan
Quarterly reviews with KPI comparisons, model updates, and a prioritised improvement backlog.