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Playbook · Applied AI · 7 min read

Where AI Workflow Automation Actually Pays

A method for finding high-value automation without creating fragile operational complexity.

Automation creates durable value when it removes coordination friction while preserving accountability. The best opportunities are often unglamorous handoffs where people repeatedly copy, classify, verify, and route information.

01

Find the waiting time

Map where work pauses for data gathering, categorisation, document preparation, status checking, or transfer between systems. Quantify volume and delay.

02

Separate rules from judgement

Use deterministic logic for known policy and AI for interpretation under uncertainty. Record confidence and route ambiguous cases to people.

03

Measure the whole process

Track cycle time, rework, exception rate, cost per completed case, and downstream quality—not only model accuracy or tasks triggered.

The Dynetiks perspective

Strong technology begins with the complete operating context. Connect the disciplines early, validate against real constraints, and design for the lifecycle—not merely the launch.