Solutions
Run & Improve
Production is the beginning. We support the AI layer under service levels and evolve it based on what real cases show.
Solution scope
AI-layer support, under service levels.
Integrators build and maintain platforms. We run and evolve the AI layer that sits on top of them.
- Observability of quality, exceptions, cost and latency
- Contracted service levels
- Incident response
- Evidence-based autonomy changes
- Continuous improvement of rules and agents
- Monthly AI-layer report
Challenges
What fails after go-live
The AI layer has no owner
The project ends, the vendor leaves and nobody is accountable for AI in production.
Quality drops unnoticed
Rules and data change, and errors only show up as complaints.
Exceptions pile up
Cases outside the rules form a new manual queue.
Untracked cost
Model usage grows without measurement.
Timeline and contract
Run & Improve
- Timeline
- Continuous
- Contract
- Tiered support plan, with service levels
- Report
- Monthly: quality, exceptions, cost, latency and evolution
All solutions
Map & DecideIn 7–10 business days, we map the process, quantify the business case, set the safe level of autonomy and deliver a documented recommendation: go or no-go.Build & IntegrateWe implement AI automations and agents integrated with your ERP and systems of record, with rules you approve, approval limits and audit trails, through to approval for production.Govern & ScaleWe structure AI governance, with policies, approval limits and auditing, and extend what works to new use cases under the same control standard.