AI Use-Case Discovery

Find decision, content, knowledge, prediction, and workflow opportunities grounded in real work.

AI Use-Case DiscoveryJul 26, 2026
How to Observe Real Work Before Proposing an AI Use Case
A practical field-research method for verifying workflow pain, locating recurring constraints, and deciding whether AI or a simpler change merits a test.

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Ten topics covering the full life of an AI program, from first use case to retirement.

Connect business needs, capability choices, sequencing, economics, governance, and learning.

Redesign tasks, rules, handoffs, exceptions, approvals, and evidence before automating them.

Apply language and media systems to drafting, retrieval, service, analysis, and assistance responsibly.

Extract, classify, validate, route, and review information from business documents.

Design bounded assistants and agents with tools, context, permissions, evaluation, and escalation.

Test usefulness, accuracy, robustness, safety, bias, latency, and cost against real scenarios.

Establish ownership, inventory, risk tiers, controls, transparency, review, and incident paths.

Prepare roles, skills, workflows, incentives, managers, and feedback for responsible use.

Manage versions, prompts, data, access, performance, drift, failures, spend, and retirement.