Look for frequent, bounded work with reviewable outputs—not high-risk decisions that are hard to reverse.
- AI automation
- process automation
- AI feasibility
- workflow assessment
Map frequency and variation
A good candidate occurs often enough to matter and has patterns the team can describe. If every case is unique or the source information is unreliable, improve the process first.
AI & AutomationAI & Automation
Thoughtful decisions compound over time.
Practical product work brings technical choices back to the people and workflows they are meant to serve.
Estimate the cost of a mistake
Consider who is affected, how errors are detected, and whether they can be reversed. Keep a person responsible where the impact is high or the correct action requires judgement.
Run a small, measurable trial
Compare a narrow workflow to its current baseline using representative examples. A feasibility assessment can help identify the simplest automation that delivers measurable value.
Practical application
Compare candidate tasks by frequency, input consistency, reviewability, and error impact. A repeated classification task with clear examples is usually a safer first trial than an irreversible approval or a decision with unclear source data.
