White Paper — AI Automation
Most AI initiatives stall because one word is covering four different things — from a scheduled batch job to an autonomous agent. This paper gives leaders a shared vocabulary, a screening instrument, and a realistic path from stalled ambition to a working, measurable pilot.
James Truesdale, MS · Managing Partner · August 2026 · Free on request
A Framework for Getting Started — Why Most AI Initiatives Stall, and the Disciplined Path to a Working Pilot
What's Inside
Why undifferentiated “AI” scoping collapses projects: governance mismatches, tool-first decisions, and ambition-led pilots that exhaust sponsorship.
Automation, Predictive, Copilot, Agentic — a maturity sequence, not a menu, with governance sized to each level's actual risk.
Eight yes/no criteria that decide which ideas earn a place on the roadmap, with scoring bands: 6–8 yes = Phase 1; 3–5 = second wave; 0–2 = parked.
Five steps from stalled list to working pilot: collect and screen, rank impact vs. effort, scope the tool decision to the winners, pilot with a before/after metric, scale on evidence.
Why agentic AI is built last — on top of demonstrated delivery discipline, not ahead of it.
Who It's For
A credible way to restart a stalled initiative — and defend the sequencing to the board.
The screening discipline that ends scoping debates and protects the first pilot's success.
A shared vocabulary for proposing automation ideas that actually advance.
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Complete the form and the paper will be sent to your business email. Requests are read personally by the Managing Partner — expect the paper, not a sales sequence.
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The AI Automation Planning pathway applies this framework as a screening workshop, ranked roadmap, and pilot governance support.