How to Build an Operating Model for the Agentic AI Future
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What this webinar covers
An agentic AI operating model is the structure an organization uses to govern, build, secure, and measure a mix of rules-based automation and AI agents. Most automation CoEs were designed for deterministic RPA, where every input of a given type produces the same output. Agents behave differently, so risk, delivery, staffing, and value all need new rules.
In this session, Ashling's Head of Advisory and Enterprise Architect break the model into 6 modular pillars.
What you'll learn:
- Where traditional automation operating models strain once agents enter the pipeline
- How to tier AI risk by data sensitivity, autonomy, and business impact so low-risk agents ship faster
- Why skills badging scales a team better than fixed roles
- How to put a dollar value on cycle time, avoided fines, and customer retention
- What to do this quarter in each of the 6 pillars