Dan Mitchell Featured in InformationWeek: How to Scale Agentic AI Adoption
- Sara Meza
- 6 hours ago
- 1 min read
Digital Wave Technology’s SVP of Platform Strategy introduces a four-stage learning model for enterprise agentic AI adoption.
Digital Wave Technology’s Dan Mitchell, Senior Vice President of Platform Strategy, shares a practical framework for scaling agentic AI in a new article published by InformationWeek.
In “How to Scale Agentic AI Adoption: A 4-Stage Learning Model,” Mitchell explains why becoming an agentic enterprise requires more than implementing new technology. Organizations must also help employees build the knowledge, confidence, and operating discipline needed to work effectively with AI agents.
The article presents agentic AI adoption as a progressive learning pathway:
Agentic 101: Learning to direct AI toward specific actions
Agentic 201: Guiding results through trusted data, security, permissions, and governance
Agentic 301: Creating repeatable agentic skills and workflows
Agentic 401: Orchestrating multiple agents across systems and business processes
Mitchell also explores the importance of governed, enriched data, human oversight, continuous monitoring, and measurable business outcomes as organizations advance from experimentation to enterprise-scale orchestration.
“Agentic success should be monitored and measured by outcomes based on how consistently teams and agents solve real business problems together,” Mitchell writes. “It is not about who automates fastest; it’s about who learns it fastest.”
