Guides

Practical AI for IT operations

Specific, no-hype guides on doing the work: safe AI on operational data, ticket handling your team adopts, documentation that stays useful. The approach is here; the ready-made tools live in the library.

AI Adoption

Choosing tools, writing prompts and rolling AI out to an IT team that sticks.

Choosing AI tools for IT operations: a vendor-neutral checklist

Most AI tool decisions in IT are made after a slick demo and regretted within a quarter. Here is a practical way to evaluate AI tools for your service desk before you commit.

4 min read

A practical prompt framework for IT support teams

Two engineers, the same AI tool, completely different results. The difference is almost never the model. It's the prompt. Here is the framework that makes AI output consistent across a whole team.

3 min read

Data Safety

Using AI on operational data without leaking anything sensitive.

Using AI safely on IT operations data

A practical, no-hype guide to letting your team use AI on tickets, logs and incidents without leaking anything sensitive. The rule, the classification that holds up, the sanitise habit, and the blame-free reporting that keeps it honest.

7 min read

Ticket Management

Faster, more consistent ticket handling the team actually adopts.

AI-assisted ticket management that your team will actually adopt

Most AI ticket rollouts fail on adoption, not capability. A practical guide to the three places AI genuinely helps a service desk, the trust rules that make agents use it, and how to introduce it without the team quietly working around it.

6 min read

Escalations that don't bounce back: the handover standard

Half of tier 2's day is asking tier 1 questions that should have been in the ticket. A handover standard fixes the bounce, and it's smaller than you think.

3 min read

Documentation

Turning documentation debt into a living, useful knowledge base.

Fixing documentation debt with AI

Documentation debt is expensive because missing docs make people ask and wrong docs make them confident. A practical guide to using AI to clear the backlog, where AI genuinely helps, the gap discipline that keeps it honest, and how to stop the debt coming back.

6 min read

SOPs that actually get used: writing procedures with AI

Every IT team has a folder of procedures nobody opens. The fix isn't discipline, it's writing SOPs differently. Here is what separates procedures that get followed from procedures that get archived.

4 min read

Incident Management

Calmer incidents, honest communication and reviews that change something.

Incident updates people actually read

During an outage, the incident channel fills with questions the last update should have answered. Here is a communication structure that keeps stakeholders informed and off the bridge.

3 min read

Change Management

Change that ships safely, with the risk work that actually predicts failure.

RFCs that pass CAB the first time

If your change advisory board keeps deferring requests for more information, the problem is usually the RFC, not the board. Here is what a complete change request looks like.

3 min read

Problem Management

Finding root causes instead of firefighting the same issue forever.

Blameless post-incident reviews, the lightweight version

Most teams skip post-incident reviews because the process feels too heavy for the calendar. Here is a 45-minute format that actually happens, and actually changes things.

3 min read

Reporting & Metrics

Reporting that says something, in the language the reader actually weighs.

IT operations KPIs that fit on one page

If your monthly service report is 40 slides, nobody is reading it. Here is how to choose the seven or eight numbers that actually steer an IT operation, and how to present them so leadership acts.

4 min read

Automation & Workflows

Automating the repetitive work without shipping mistakes at scale.

Automate the right things: human-in-the-loop for service desks

The fastest way to lose your team's trust in automation is one bad automated email. Here is how to pick what to automate first, and the design pattern that keeps quality up while volume goes down.

3 min read

Leadership & Strategy

Leading an IT team and making the case to the people who hold the budget.

The 30-60-90 rollout: introducing AI to your IT team

Most AI initiatives in IT die between the demo and the habit. A phased 90-day rollout fixes the two things that kill them: unclear rules and unmeasured results.

4 min read