Adoption of agentic AI remains slow. Many pilot projects stall or fail outright, and even successful deployments may fail to return expected productivity gains. A new study of 167 technical experts points to why: a set of ten misconceptions about what agentic AI is, what it can realistically accomplish, and how firms should organize to deploy it. These “management illusions” quietly derail agentic transformation efforts before they start.
In this webcast, research authors share their research framework, which maps these illusions across three stages of an AI transformation: setting strategy, organizing to deploy agents, and executing use cases day to day. They share which illusions their survey respondents rated as most prevalent and most damaging — led by managers’ tendency to overestimate the workforce reductions agentic AI can enable — and offer concrete, field-tested recommendations for correcting course, including examples drawn from real transformation programs across several industries.
Participants gain:
- a framework for identifying which of the ten management illusions may be shaping their own organization’s AI agenda;
- research-backed guidance on when agentic AI is — and isn’t — the right tool for automating a sales or business process;
- a realistic view of what it actually takes to test, scale, and sustain AI agents in production, and why domain-expert bandwidth is often the real bottleneck;
- perspective on the gap between expected and actual productivity and headcount gains from agentic AI, and how to set more accurate expectations internally; and
- practical recommendations for structuring AI governance, infrastructure, and organizational ownership so that transformation efforts don’t stall in experimentation.
This webcast is intended for sales operations, sales effectiveness, revenue operations, sales technology, and commercial leaders — along with any executive responsible for setting or executing an AI agenda — who want a more realistic, evidence-based understanding of what agentic AI can deliver.
This session is free to join and open to the public. Become a basic member ($0), login, and return to this page to register.
