Sectors / Enterprise
Agents wired into the systems your business already runs on.
Operational outcomes: cost, throughput, error rates, cycle time. Agents wired into ERP, CRM, and internal systems, with managed operations after deployment.
AI conversations dominate board meetings. AI production dominates none of the budgets.
The internal mandate is to show working systems by the end of the quarter, not a slide deck about transformation.
Integration with legacy systems is not optional and is rarely simple.
Where engagements typically start in this sector.
- AI Agent Development
Production agents tied to the systems of record. Defined success metrics, phased delivery.
- Workflow & Process Automation
Highest-leverage starting point. High-volume operational work converted to agentic systems with audit trails.
- Managed AI Operations
After deployment, prompt rot and model updates require continuous operations to maintain measurable outcomes.
- On-Prem AI & LLM
Regulated industries and data-sensitive use cases route here from the start.
Fixed-scope discovery (typically two weeks). Build phase six to twelve weeks per system. Handover to Managed AI Operations. Expansion into adjacent systems on the same operating model.
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Start with the assessment.
A fixed-scope AI readiness assessment: your workflows, your data, your highest-ROI agent use cases, and a deployment roadmap. Two to four weeks.