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Design IT helpdesk automation for a company with 20,000 employees using ServiceNow.
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Engagement approach
- Analyse 6–12 months of tickets: top categories by volume, resolution time, and which are automatable (password and access issues are often a large share).
- Phase 1: KB Q&A + ticket classification and routing (low risk, high volume).
- Phase 2: self-service actions with strong authentication (MFA re-verification for password resets), approval workflows for access.
- Phase 3: agent assist (suggested resolutions from similar resolved tickets).
Key considerations
- Security: actions via existing automation workflows with least privilege; never let the LLM call admin APIs directly with free-form parameters.
- KB quality: often outdated. Content gap reports drive KB improvement.
- Multilingual and regional differences (office-specific procedures), handled through metadata filtering.
- Metrics: deflection rate (resolved without a ticket), first-contact resolution, routing accuracy, mean time to resolve, employee satisfaction.
Related
- Previous: Q37. Design an agent that turns sales call recordings into CRM updates for a 500-person sales organisation.
- Next: Q39. A manufacturer wants an AI assistant for procurement: comparing supplier quotes, checking contracts, and drafting purchase orders in their ERP. Design it.
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