AI-assisted ticket triage
Classify, prioritise and route incoming requests so engineers start with context rather than an unread queue.
Service · Core Focus
Remove repetitive work from IT operations and turn operational data into clear, live reporting, with automation that is reliable, auditable and built around your environment.
Most IT teams lose hours every week to tasks that follow the same steps every time: creating accounts, assigning licences, triaging tickets, checking systems and compiling reports. Every manual step is an opportunity for delay or error, and reports built by hand are out of date as soon as they are finished.
I design and build automation that takes that work off the service desk, from PowerShell and Microsoft Graph scripts to end-to-end workflows and AI-assisted processes. I also build custom reporting dashboards that pull data together automatically, so teams and leadership see the current state of their environment rather than last month's spreadsheet. I work with the platforms you already run, and every automation is documented, logged and built to fail safely.
Classify, prioritise and route incoming requests so engineers start with context rather than an unread queue.
Live dashboards that combine service desk, device, identity and Microsoft 365 data through APIs, giving teams and leadership one current view of the metrics that matter.
End-to-end user lifecycle workflows across the service desk, identity and Microsoft 365, covering licensing, groups and access removal.
Robust scripts for Microsoft 365, Entra ID, Exchange Online and Intune administration at scale, with logging and error handling.
Agent rollouts, configuration changes and remediation across entire estates, with failure analysis built in.
Health checks and licence, security and compliance reports generated and delivered on schedule instead of compiled by hand.
Map the process as it runs today, including exceptions, volumes and every system involved.
Agree the target workflow, permission model, approval points and failure handling before any build begins.
Develop against a pilot group with full logging, so every run can be audited.
Document, train and monitor so the automation stays reliable long after go-live.
Tools change. Good engineering doesn't. I work with the platforms already in place and adapt quickly to new ones.
Tasks that are frequent, rule-based and currently done by hand: user onboarding and offboarding, licence management, routine checks, reporting and ticket triage. A short discovery exercise identifies where automation will return the most time.
Whatever your team and leadership need to act on: ticket volumes and response times, device compliance and patch status, licence usage, security posture and service trends. Data is gathered automatically from the systems you already use, so the view stays current without manual effort.
No. I work with the platforms already in place wherever possible and recommend new tooling only when it clearly fits the problem. The same engineering principles apply whichever platform is used.
AI is applied where it assists rather than acts unchecked, such as classifying and summarising tickets. Any action that changes a system keeps defined permissions, approval points and audit logging.
Applications are granted least-privilege permissions for exactly the calls they make, reviewed against current Microsoft guidance, with credentials stored securely and access reviewed over time.
Share the details of your AI & IT Automation project and I will outline a practical approach for your environment.
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