How it works
From process mapping to production automation
We build a governed foundation, deploy traceable agent workflows, and continuously improve accuracy with sessions and HITL rewards.
Delivery phases
Designed to show ROI early and scale safely.
1) Discovery and KPI baseline
Map workflows, bottlenecks, exceptions, and define measurable success metrics.
2) Data House + Platform setup
Deploy a governed foundation and connect data sources across documents, media, sensors, and systems.
3) Pilot workflow (Orchestrator + HITL)
Ship a production-grade pilot with validation gates, session traces, and human review where needed.
4) Scale integrations with WebKit
Turn ERP/CRM and internal apps into safe tools, automate end-to-end workflows.
5) Model adaptation (interval training)
Use verified sessions + human rewards to continuously improve accuracy without regressions.
6) Operate securely
Monitoring, audit logs, drift checks, and governance for long-term reliability.
What you get
Concrete deliverables for each phase.
Discovery & mapping
- Process maps + exceptions
- Data source inventory
- KPI baseline + success criteria
Foundation (Data House)
- Ingestion plan (batch + streaming)
- Governance design (RBAC/audit/retention)
- Indexing + retrieval setup
Pilot workflow (Orchestrator + HITL)
- One production-grade workflow
- Validation gates + traces
- HITL queue + correction schema
Scale integrations (WebKit)
- Tool registry + connectors
- Safe actions + permissions
- Event triggers + monitoring
Model adaptation
- Evaluation pack (golden set)
- Interval training pipeline
- Regression testing + rollout policy
Operate & improve
- Drift monitoring
- Quality analytics
- Roadmap + KPI review cadence
Start
Want a pilot plan for your workflow?
Bring one workflow and a sample dataset. We will propose a production pilot with validation gates, HITL, and measurable KPIs.