Leverage & Adoption
What force multiplication actually looks like, why most seats stay idle, and what changes when AI is working.
Guides
Driving Adoption
Why AI seats sit idle: disposition, workflow fit, and manager signals determine adoption more than broad training programs.
Measuring Returns
Measure AI returns by team consumption, visible work change, and operating decisions instead of a vendor ROI multiplier.
Recognizing Leverage
Find AI leverage in your organization by tracing unusually productive people, consumption patterns, and workflow signals.
Articles
An AI Adoption Plan Starts With One Workflow
An AI adoption plan succeeds when it names one workflow, its owner, and a check on the changed work.
Your AI Champions Need a Job Description
An AI champion program works when the role has one workflow, manager-backed time, and a result more useful than activated seats.
Claude Skills Need an Owner
Claude Skills can turn a proven workflow into shared team work. Use them with a named owner, a review point, and a result worth measuring.
Stop Running AI Pilots
Most enterprise AI pilots never reach production, and the format is the reason. A pilot produces a demo, not a P&L owner. Run a production cut instead.
AI Marketing Assistants: Analysis, Not Copy
Most marketing teams start with AI copywriting and stall there. The workflows that actually compress are analytical: monitoring, reporting, spec-based content.
Proactive AI Agents: Removing the Human Trigger
What proactive AI agents do, how Claude Cowork scheduled tasks run, and where leaders need ownership, admin controls, and verification.
How to Measure AI ROI (Without an ROI Framework)
74% of companies can't show AI ROI because the instrument was built for cost savings. Stop measuring returns. Start making quarterly seat decisions.
How to Tell What Tasks AI Will Automate
The tasks AI will automate have cheap, fast, trustworthy verification. This test predicts which work in a business will change next.