Executive templates for AI-agent business cases by industry
By Equipo Quantum Developers
Summarize:
An AI-agent business case should not start with a productivity promise. It should start with a specific process, a measurable baseline, and a business decision that currently costs money, time, or control.
Finance: reconciliation and daily close
The template should capture transactions per day, exception percentage, unreconciled value, team hours, and average aging. The agent only makes sense if it can classify differences, assign ownership, and preserve audit evidence.
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Primary metric: percentage reconciled automatically before the daily cutoff.
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Key risk: closing differences without evidence or with unapproved rules.
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Minimum control: transaction log, rule applied, and exception approver.
Logistics: shipment monitoring
The value is not 'seeing more data'; it is detecting an exception earlier and coordinating the response. The template should include delay cost, penalties, expedites, critical routes, and customer-notification time.
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Primary metric: minutes between risk signal and assigned action.
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Key risk: ownerless alerts that increase operational noise.
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Minimum control: shipment object with status, evidence, owner, and SLA.
Commercial: quoting and repricing
The agent should reduce quote cycle time without damaging margin. The template should separate allowed discounts, approvals, availability, customer rules, and contractual exceptions.
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Primary metric: quote cycle time and rework caused by commercial errors.
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Key risk: quoting quickly with the wrong price, stock, or condition.
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Minimum control: approval path by threshold and evidence of the calculation.
What the committee should approve
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A baseline signed by operations, technology, and finance.
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A first scope with enough volume, but controlled risk.
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A governance model: owner, escalation, changes, and audit.
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An exit criterion: when to scale, fix, or shut down the agent.
Recommended decision
Do not approve a template that cannot show how value will be measured after launch. Evidence is what separates a demo from an operating asset.
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