In short
Group recent IT requests by cause, recurrence and user impact. Fix avoidable access, device, platform and handoff problems first; then automate safe routing and status updates. AI assistance should use approved information and hand uncertain or sensitive cases to a person.
In this guide
Read the demand behind the ticket count
A busy service desk may be responding well to avoidable problems. A new chatbot can answer more questions without reducing outages, access delays or repeated work. For a multi-location business, the same issue may be logged separately by each office and still appear as many isolated tickets.
Take a sample of recent requests. Group them by service, location, cause, recurrence and the time people could not do their work. Separate incidents from routine requests, planned changes and questions caused by unclear guidance. Look at reopened cases and the customer's effort to reach a useful answer, not only the time until the first reply.
Fix what repeats
| Repeated demand | What to inspect | Likely first correction |
|---|---|---|
| Access and onboarding | Approvals, role templates and joiner or leaver handoffs | One request path with a named approver and completion check |
| Slow or unreliable devices | Device age, application reliability and affected locations | Repair, configuration or replacement before writing more help articles |
| Shared-service incidents | Provider status, affected users and communication timing | One incident record and one consistent update to staff |
| Unclear instructions | Search terms, repeated questions and outdated guidance | Short current instructions owned by the relevant team |
| Supplier handoffs | Which team owns diagnosis, escalation and restoration | A visible escalation route and agreed response responsibilities |
Use existing platform information where it is available. Microsoft 365 service health can show relevant cloud-service incidents and advisories; Intune endpoint analytics, when configured and licensed, can help investigate device performance and application reliability. Neither replaces a local diagnosis or justifies collecting more telemetry than the business needs.
Keep the business, IT team and providers in one operating picture
Someone must decide whether a problem is a platform incident, a local configuration issue or a broken business process. Define who can approve access, who can change a system, who communicates with staff and who accepts that service has been restored. For critical services, make the escalation and out-of-hours arrangements explicit instead of assuming the ticket queue covers them.
The Australian Cyber Security Centre's questions for managed service providers are useful when reviewing privileged access, cyber practices and incident readiness. Ask for practical evidence of how the arrangement works, not a generic assertion that support is covered. Keep the organisation's own decision rights visible even when a provider operates the tools.
Choose safe automation before a support agent
Automate predictable steps first: classify a request from known fields, route it to the right owner, acknowledge receipt, show status and flag a missed handoff. A self-service article is helpful only when it is current and solves the problem. If the same request returns next week, investigate the cause.
An AI assistant may help staff find approved guidance or prepare a draft response. It should not guess access rights, request passwords, disclose another person's information or make an unreviewed privileged change. Give it a clear source boundary, test wrong and incomplete questions, and provide an obvious path to a human. The ACSC's AI guidance for small business emphasises limited data collection, human oversight for high-risk use and provider due diligence.
For example, an assistant might point a user to the current VPN setup guide and create a ticket when that guide does not resolve the issue. Granting VPN access remains an authorised decision. The example describes a possible design, not a reported Advery client outcome.
Measure whether work became easier
Choose one recurring category and record its starting volume, affected users, repeat rate, restoration time, staff time and user effort. Change the underlying process, then review the same measures after a normal operating cycle. A lower ticket count alone is not proof of success: people may simply have stopped reporting the problem.
For a first month, review a sample of cases, fix one cause, update the support path and check whether users can complete the original task with less interruption. Report what remains unresolved and who owns it. Advery can help leadership connect service performance, provider responsibilities and practical automation with the wider technology operating view.
Sources and guidance
- Microsoft: Service health and continuity
- Microsoft: Endpoint analytics overview
- ASD ACSC: Questions to ask managed service providers
- ASD ACSC: Artificial intelligence for small business
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