AI automation without the circus: a no-hype checklist
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ai,
automation,
checklist
Every vendor has an AI story. This checklist keeps yours honest.
Five questions before you start
- Which process? Name the exact workflow (tickets, invoices, churn calls). "We want AI everywhere" is not a process.
- Where's the data? Automations run on data. If it's scattered across spreadsheets and inboxes, that's step one.
- Who's accountable when it fails? A human-in-the-loop review step is not weakness; it's how AI earns trust.
- What's the measure? Hours saved weekly, resolved without human touch, cost per resolved item - pick one.
- What's the risk? PII? Regulations? Access control? Plan the guardrails before deployment, not after.
A realistic pattern
Start small: one high-volume, low-risk workflow. Automate it, instrument it, publish the number. That one win funds the next initiative and - more importantly - builds the internal trust your program runs on.
The teams winning at AI are not the most ambitious. They are the most disciplined. That discipline is exactly what Hawsaba's AI practice brings to the table.