Why Most AI Initiatives Stall
Companies rush into AI without understanding workflow readiness, data integrity, or governance maturity.
✕ AI pilots never reach production.
✕ LLMs hallucinate due to unstructured internal data.
✕ Security teams block deployment.
✕ Use cases lack ROI clarity.
✕ Teams experiment instead of execute.
The AI Engineering Roadmap
PHASE_01
AI Readiness Audit
Assess workflow complexity, data structure, and security posture.
PHASE_02
Use Case Prioritization
Identify high-leverage agentic workflows tied to revenue impact.
PHASE_03
Architecture Blueprint
Design RAG systems, integration layers, and governance controls.
PHASE_04
Pilot Deployment
Launch secure, scoped agents with human-in-the-loop oversight.
PHASE_05
Production Scaling
Operationalize agents across teams with measurable ROI tracking.