Knowledge
Can people trust the source?
Review the articles behind common requests: are they current, useful, and owned by someone?
AI readiness for service management
Is your service ready for AI?
Start with five questions about your service today. Get a brief with your score and five practical next steps.
5 yes-or-no questions. Email required for results; follow-up is optional.
The quick check covers
- Knowledge
- Incident records
- CMDB
- Incident drivers
- AI ownership
Explore the four foundations
Workshop previewData & access
What can AI see or change?
Check service records and dependencies, then agree which information and actions AI can access.
Workflow
Where does a person step in?
Follow a real request through its handoffs. Decide where approval, escalation, and human review belong.
Ownership
Who is accountable?
Name the people who approve use cases, review results, and can pause AI when something goes wrong.
The facilitated workshop
Go beyond the quick check.
Work through real examples with your service teams, including the access controls, approvals, and accountability a short questionnaire cannot test.
- Half-day workshop
- 4 hours, on site or virtual
- Team conversations
- 30–45 minutes with key stakeholders
- Readout within two weeks
- Findings and an agreed value journey
- 01
Bring a real example
Choose a service or use case. Hear from the people who do the work.
- 02
Review the foundations
Examine the knowledge, data, handoffs, and decisions it depends on.
- 03
Agree the next steps
Identify the gaps and build a Crawl, Walk, Run plan for your team.
Email us
Tell us which service or AI idea you want to explore.
What you take away
A clear record of what comes next.
Prepared from your team’s discussion and the evidence reviewed.
Executive summary
Where AI could help, and what needs attention first.
What we heard
Findings from the teams responsible for your service.
Your value journey
A Crawl, Walk, Run sequence shaped around your priorities.
A closer look at the workshop
Outline and sample outputs
