AI Agent
AI can help teams understand a case, find information and prepare material for the next stage of support.
Handling a case often means gathering information from several places, understanding the customer situation, checking procedures and passing context to the next person. AI can prepare a useful starting point: a summary, category or priority suggestion, missing questions, relevant documentation and a response draft. These are suggestions, not verified facts.
Consider a hypothetical report: orders are created correctly, but invoices are missing for one payment method and confirmation emails are occasionally delayed. An agent may summarise the case, identify possible areas to examine — payment integration, invoice worker or email queue — and suggest questions about order identifiers, timing and the latest release. It is not a diagnosis. An employee verifies the information and approves the response.
Case → application records it and checks access
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AI: summary, questions, documents, draft
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employee reviews incomplete result / error
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approved case entry manual handling under procedureA summary can help hand a case between first-line support, technical support, development and operations. It should list completed checks, open questions, customer impact, recent communication and the next owner. The original case history remains authoritative; a summary may be incomplete and needs checking.
During an incident, AI may group related alerts, prepare a timeline, find an approved runbook, identify missing diagnostic context and draft an internal update. It must not independently restart services, delete queues, execute commands or change business state without separately designed and authorised controls.
A knowledge assistant searches only approved sources available to the current user and should identify its source document where available. If documentation does not answer the question, it should not invent a procedure.
A customer-response draft can use verified case information and approved guidance. The employee checks facts, tone, sensitive information and commitments. The application enforces permissions, organisation and customer boundaries and document access; human review alone does not ensure confidentiality or correctness.
Unavailable AI, invalid output, duplicate delivery or changed permissions during processing need a visible state and behaviour designed for that case. Manual handling and duplicate prevention must be verified, not assumed.
Start with a selected team or case type. Useful measures include time spent understanding a case, handover quality, correction rate, accepted suggestions, provider failures and cost per AI-assisted case. The findings may support expansion, revision or leaving a step outside AI.