Not every manual task deserves automation. A simple scoring model for picking the workflows worth building first.
Automation return depends on three variables: frequency, handling time, and error cost. Score every candidate workflow on those, and the shortlist usually writes itself.
High-frequency, medium-complexity work with clear rules — invoice matching, document classification, status reporting — delivers value quickly and predictably.
Rare, high-judgement processes are poor first candidates. The build cost is similar, the volume is not there, and the exceptions dominate.
Always keep a human approval step where the cost of a wrong action is real. Auditability is what turns an automation pilot into something operations will trust at scale.
Applied AI & Data
The AI practice designs, evaluates, and operates applied AI systems — retrieval, agents, document intelligence, and forecasting — with measurable business baselines.