IMA Worldwide, acquired by Peacock Hill Consulting in 2024, has released the AIM AI suite, an extension of the Accelerating Implementation Methodology (AIM) designed to address a persistent enterprise challenge: AI tools are installed, but workforce behavior rarely changes enough to generate sustained value. The announcement positions the suite as a structured alternative to the adoption shortfall that follows most enterprise AI rollouts.
Enterprise AI initiatives routinely clear the technical threshold. Tools get selected, integrations get built, and licenses get purchased. What organizations report much less frequently is workforce-level behavior change at scale. The AIM AI suite is structured around that specific problem: the behavioral gap between a tool being available and a workforce actually using it differently. Within the AIM framework, behavior change is treated as the measurable unit of value, not tokens consumed. That distinction shapes how the suite organizes sponsor accountability, manager reinforcement, and employee readiness across an AI rollout.
"Behavior change is the unit of value in AI, not tokens," said Ann Marvin, Owner of Peacock Hill Consulting. "An organization can consume the most tokens in its industry and still see no return if the people using the tools do not change how they work."
The AIM AI suite centers on six non-delegable sponsor tasks that define what an AI sponsor must personally own to move a rollout from installation to adoption. These tasks are not delegable to project managers or change practitioners. They require direct, visible action from the executive or leader holding authority over the AI initiative. Reinforcement mechanics within the suite follow an EMR structure: Express, Model, Reinforce. Harrison's field research established that reinforcement carries roughly three times the behavioral impact of expression alone. The suite builds that weighting into how sponsors and managers are prepared and held accountable throughout the implementation.
The AIM AI suite is designed for enterprise CTOs, Heads of Change, and AI sponsors who carry accountability for adoption outcomes, not just deployment timelines. It provides a structured sequence that moves teams from tool availability through behavioral adoption to sustained use, applying AIM principles that have been developed and refined across more than 40 years of implementation research. IMA Worldwide makes the AIM AI suite and supporting AI change management resources available at imaworldwide.com.
The AIM framework itself dates to 1989, when Don Harrison founded IMA Worldwide and developed AIM as a discipline for closing the distance between deployment and durable adoption. That foundation now applies directly to AI transformation change management.
