Start with repetitive decisions and information
Useful automation often begins in unglamorous places: extracting fields from documents, searching internal knowledge, drafting routine responses for review or routing requests to the right team. Look for a task that repeats frequently enough to measure.
Keep reliable rules separate from model judgment
Not every task needs generative AI. Deterministic workflows are often better for simple calculations and fixed business rules. Add language models where interpretation, summarization or flexible text handling creates value, and make the boundaries clear.
Design the human review point
For sensitive operations, the most useful system may be one that prepares a recommendation and waits for approval. Decide what data may be used, when to escalate uncertainty and how to detect mistakes before rollout.
Measure the work, not the novelty
Track turnaround time, error rates, exceptions and the effort required to maintain the automation. A small, well-monitored workflow provides better evidence for expansion than a broad but unreliable AI initiative.
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