AI Workshop FAQ
What is a Cognitive Operating Plan?
Quick answer
A Cognitive Operating Plan is the personalised output of Acuity AI Advisory’s AI productivity workshop. It maps a participant’s specific role, responsibilities, and work patterns to AI applications that will genuinely improve their effectiveness — and produces a 90-day implementation plan. Unlike generic AI recommendations, a Cognitive Operating Plan is built from an analysis of how the individual actually works: what consumes disproportionate cognitive energy, what decisions are being made with inadequate information, and where AI can replace manual work that does not require human judgment.
How the Cognitive Operating Plan is developed
The Cognitive Operating Plan is developed through a three-stage process. First, the pre-workshop Cognitive Mirror diagnostic: a structured questionnaire that maps the participant’s role, responsibilities, daily work patterns, decision types, information needs, and current frustrations. This diagnostic is designed to surface where cognitive energy is being spent — which activities consume disproportionate mental effort relative to their strategic value. Second, the workshop session: facilitated analysis of the diagnostic output, identification of AI applications that specifically address the highest-cost cognitive patterns, and evaluation of each application against the participant’s specific context — their data, their tools, their governance constraints. Third, the plan development: a written 90-day implementation plan, with specific AI applications identified, implementation steps sequenced, success criteria defined, and governance requirements noted.
What the Cognitive Operating Plan covers
A Cognitive Operating Plan covers five areas. First, the participant’s cognitive profile: where their mental energy goes, what their high-value and low-value work looks like, and where AI intervention has the most potential. Second, specific AI applications: named tools or approaches for each identified opportunity, with an honest assessment of their current capability and limitations. Third, implementation steps: what the participant needs to do, in what order, to integrate each AI application into their work — including any governance or policy requirements. Fourth, success measures: how the participant will know whether the AI application is delivering the expected benefit. Fifth, governance notes: any EU AI Act considerations, data privacy requirements, or policy obligations relevant to the specific applications identified. The plan is written in plain language — not a technical document, but a practical working guide.
Every participant in Acuity AI Advisory’s productivity workshop receives a personalised Cognitive Operating Plan. Learn about the Cognitive Mirror diagnostic.