IT asset management
Dependency description
Describe what this asset supports in business terms to support the IT asset management practice.
Value: highRisk: mediumEffort: highscaled~9 h/mo
How to talk to AI about it
- Context
- You support a IT asset management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Describe what this asset supports in business terms.
- Output format
- Short dependency summary.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
IT asset management
Asset record cleanup
Flag incomplete or inconsistent asset records to support the IT asset management practice.
Value: lowRisk: lowEffort: mediumpilot~32 h/mo
How to talk to AI about it
- Context
- You support a IT asset management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Flag incomplete or inconsistent asset records.
- Output format
- Records with missing fields.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
IT asset management
Licence reconciliation notes
Explain differences between licence records and usage data to support the IT asset management practice.
Value: mediumRisk: highEffort: lowidea~25 h/mo
How to talk to AI about it
- Context
- You support a IT asset management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Explain differences between licence records and usage data.
- Output format
- Discrepancy list with likely causes.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
IT asset management
End-of-life exposure
Identify assets approaching end of support to support the IT asset management practice.
Value: highRisk: mediumEffort: highscaled~18 h/mo
How to talk to AI about it
- Context
- You support a IT asset management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Identify assets approaching end of support.
- Output format
- List with dates and affected services.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
change enablement
Change risk summary
Summarise the risk of this change from its plan and history to support the change enablement practice.
Value: highRisk: mediumEffort: highscaled~30 h/mo
How to talk to AI about it
- Context
- You support a change enablement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise the risk of this change from its plan and history.
- Output format
- Risk rating, key risks, missing controls.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
change enablement
Back-out plan check
Check the back-out plan for gaps to support the change enablement practice.
Value: mediumRisk: highEffort: lowidea~7 h/mo
How to talk to AI about it
- Context
- You support a change enablement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Check the back-out plan for gaps.
- Output format
- List of gaps and questions for the implementer.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
change enablement
Change collision detection
Find conflicts between changes in the same window to support the change enablement practice.
Value: lowRisk: lowEffort: mediumpilot~14 h/mo
How to talk to AI about it
- Context
- You support a change enablement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Find conflicts between changes in the same window.
- Output format
- Conflicting change pairs with shared components.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
change enablement
CAB briefing pack
Draft a one-page briefing for the change advisory board to support the change enablement practice.
Value: highRisk: mediumEffort: highscaled~21 h/mo
How to talk to AI about it
- Context
- You support a change enablement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Draft a one-page briefing for the change advisory board.
- Output format
- Change list with risk, owner, decision needed.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
continual improvement
Benefit tracking summary
Summarise realised benefits of completed improvements to support the continual improvement practice.
Value: mediumRisk: lowEffort: lowidea~7 h/mo
How to talk to AI about it
- Context
- You support a continual improvement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise realised benefits of completed improvements.
- Output format
- Table: initiative, expected, realised.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
continual improvement
Metric trend commentary
Explain trends in key operational metrics to support the continual improvement practice.
Value: highRisk: highEffort: highscaled~30 h/mo
How to talk to AI about it
- Context
- You support a continual improvement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Explain trends in key operational metrics.
- Output format
- Commentary per metric with possible causes.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
continual improvement
Retrospective synthesis
Summarise themes from team retrospectives to support the continual improvement practice.
Value: lowRisk: mediumEffort: mediumpilot~23 h/mo
How to talk to AI about it
- Context
- You support a continual improvement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise themes from team retrospectives.
- Output format
- Top themes with supporting quotes.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
continual improvement
Improvement idea triage
Score improvement ideas by value and effort to support the continual improvement practice.
Value: mediumRisk: lowEffort: lowidea~16 h/mo
How to talk to AI about it
- Context
- You support a continual improvement process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Score improvement ideas by value and effort.
- Output format
- Ranked list with value, effort, owner suggestion.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
incident management
Incident summary drafting
Summarise the incident timeline and current status for stakeholders to support the incident management practice.
Value: mediumRisk: lowEffort: lowidea~4 h/mo
How to talk to AI about it
- Context
- You support a incident management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise the incident timeline and current status for stakeholders.
- Output format
- A 5-line status update: impact, actions, next update time.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
incident management
Similar incident finder
Compare this incident's symptoms with past resolved incidents to support the incident management practice.
Value: lowRisk: mediumEffort: mediumpilot~11 h/mo
How to talk to AI about it
- Context
- You support a incident management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Compare this incident's symptoms with past resolved incidents.
- Output format
- Top 3 similar incidents with resolution and confidence.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
incident management
Priority suggestion
Suggest a priority based on impact and urgency descriptions to support the incident management practice.
Value: highRisk: highEffort: highscaled~18 h/mo
How to talk to AI about it
- Context
- You support a incident management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Suggest a priority based on impact and urgency descriptions.
- Output format
- Suggested priority with one-line rationale.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
incident management
Post-incident review draft
Draft a blameless post-incident review from the timeline to support the incident management practice.
Value: mediumRisk: lowEffort: lowidea~25 h/mo
How to talk to AI about it
- Context
- You support a incident management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Draft a blameless post-incident review from the timeline.
- Output format
- Sections: summary, timeline, contributing factors, actions.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
knowledge management
Stale article detection
Flag knowledge articles likely to be out of date to support the knowledge management practice.
Value: lowRisk: mediumEffort: mediumpilot~5 h/mo
How to talk to AI about it
- Context
- You support a knowledge management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Flag knowledge articles likely to be out of date.
- Output format
- List of articles with reason and suggested owner.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
knowledge management
Runbook from resolution notes
Turn resolution notes into a structured runbook to support the knowledge management practice.
Value: mediumRisk: lowEffort: lowidea~28 h/mo
How to talk to AI about it
- Context
- You support a knowledge management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Turn resolution notes into a structured runbook.
- Output format
- Runbook: symptoms, diagnosis, steps, rollback, escalation.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
knowledge management
Plain-language rewrite
Rewrite this article for first-line analysts to support the knowledge management practice.
Value: highRisk: highEffort: highscaled~12 h/mo
How to talk to AI about it
- Context
- You support a knowledge management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Rewrite this article for first-line analysts.
- Output format
- Simplified article under 300 words.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
knowledge management
Knowledge gap finder
Identify frequent incidents with no knowledge article to support the knowledge management practice.
Value: mediumRisk: lowEffort: lowidea~19 h/mo
How to talk to AI about it
- Context
- You support a knowledge management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Identify frequent incidents with no knowledge article.
- Output format
- Gap list with incident counts.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
monitoring and event management
Alert noise reduction
Identify alerts that rarely lead to action to support the monitoring and event management practice.
Value: highRisk: mediumEffort: highscaled~24 h/mo
How to talk to AI about it
- Context
- You support a monitoring and event management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Identify alerts that rarely lead to action.
- Output format
- Alert list with action rate and suggested change.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
monitoring and event management
Event correlation
Correlate these events into probable incidents to support the monitoring and event management practice.
Value: mediumRisk: highEffort: lowidea~31 h/mo
How to talk to AI about it
- Context
- You support a monitoring and event management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Correlate these events into probable incidents.
- Output format
- Grouped events with likely source.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
monitoring and event management
Alert description enrichment
Write clear alert descriptions with first actions to support the monitoring and event management practice.
Value: lowRisk: lowEffort: mediumpilot~8 h/mo
How to talk to AI about it
- Context
- You support a monitoring and event management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Write clear alert descriptions with first actions.
- Output format
- Alert text: meaning, impact, first 3 checks.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
monitoring and event management
Threshold tuning ideas
Suggest threshold changes from past alert patterns to support the monitoring and event management practice.
Value: highRisk: mediumEffort: highscaled~15 h/mo
How to talk to AI about it
- Context
- You support a monitoring and event management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Suggest threshold changes from past alert patterns.
- Output format
- Proposed thresholds with expected effect.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
problem management
Recurring incident clustering
Group these incidents by likely common cause to support the problem management practice.
Value: lowRisk: highEffort: mediumpilot~32 h/mo
How to talk to AI about it
- Context
- You support a problem management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Group these incidents by likely common cause.
- Output format
- Clusters with incident references and suspected cause.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
problem management
Root cause hypothesis
Propose root cause hypotheses from the evidence to support the problem management practice.
Value: highRisk: lowEffort: highscaled~9 h/mo
How to talk to AI about it
- Context
- You support a problem management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Propose root cause hypotheses from the evidence.
- Output format
- Ranked hypotheses with supporting and missing evidence.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
problem management
Known error write-up
Draft a known error record with workaround to support the problem management practice.
Value: mediumRisk: mediumEffort: lowidea~16 h/mo
How to talk to AI about it
- Context
- You support a problem management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Draft a known error record with workaround.
- Output format
- Known error: symptom, cause, workaround, permanent fix.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
problem management
Problem backlog prioritisation
Rank open problems by customer impact and recurrence to support the problem management practice.
Value: lowRisk: highEffort: mediumpilot~23 h/mo
How to talk to AI about it
- Context
- You support a problem management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Rank open problems by customer impact and recurrence.
- Output format
- Ranked table with rationale.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service desk
Self-service article suggestion
Suggest self-service content for common requests to support the service desk practice.
Value: mediumRisk: lowEffort: lowidea~13 h/mo
How to talk to AI about it
- Context
- You support a service desk process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Suggest self-service content for common requests.
- Output format
- Top requests with proposed article titles.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service desk
Shift handover summary
Summarise open tickets for shift handover to support the service desk practice.
Value: highRisk: highEffort: highscaled~6 h/mo
How to talk to AI about it
- Context
- You support a service desk process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise open tickets for shift handover.
- Output format
- Bullet list by priority with owner.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service desk
Reply drafting
Draft a polite reply to the user with next steps to support the service desk practice.
Value: lowRisk: mediumEffort: mediumpilot~29 h/mo
How to talk to AI about it
- Context
- You support a service desk process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Draft a polite reply to the user with next steps.
- Output format
- Reply under 120 words.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service desk
Ticket categorisation
Suggest category and assignment group for this ticket to support the service desk practice.
Value: mediumRisk: lowEffort: lowidea~22 h/mo
How to talk to AI about it
- Context
- You support a service desk process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Suggest category and assignment group for this ticket.
- Output format
- Category, group, confidence.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service level management
SLA breach explanation
Explain why this SLA was missed using the incident data to support the service level management practice.
Value: lowRisk: highEffort: mediumpilot~26 h/mo
How to talk to AI about it
- Context
- You support a service level management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Explain why this SLA was missed using the incident data.
- Output format
- Short narrative with contributing incidents.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service level management
Customer-facing summary
Turn technical service data into a customer summary to support the service level management practice.
Value: lowRisk: highEffort: mediumpilot~17 h/mo
How to talk to AI about it
- Context
- You support a service level management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Turn technical service data into a customer summary.
- Output format
- Plain-language summary under 150 words.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service level management
SLO target review
Assess whether current SLO targets match observed performance to support the service level management practice.
Value: mediumRisk: mediumEffort: lowidea~10 h/mo
How to talk to AI about it
- Context
- You support a service level management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Assess whether current SLO targets match observed performance.
- Output format
- Per-SLO recommendation: keep, tighten, relax.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
service level management
Monthly service report draft
Draft the monthly service report commentary to support the service level management practice.
Value: highRisk: lowEffort: highscaled~33 h/mo
How to talk to AI about it
- Context
- You support a service level management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Draft the monthly service report commentary.
- Output format
- Commentary per service: performance, issues, actions.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
supplier management
Vendor performance narrative
Summarise supplier performance against contract to support the supplier management practice.
Value: lowRisk: highEffort: mediumpilot~20 h/mo
How to talk to AI about it
- Context
- You support a supplier management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Summarise supplier performance against contract.
- Output format
- Narrative: SLA, incidents, credits, concerns.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
supplier management
Contract clause comparison
Compare service levels across supplier contracts to support the supplier management practice.
Value: highRisk: lowEffort: highscaled~27 h/mo
How to talk to AI about it
- Context
- You support a supplier management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Compare service levels across supplier contracts.
- Output format
- Table of clauses by supplier.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
supplier management
Exit plan gap review
Review an exit plan against stressed and non-stressed scenarios to support the supplier management practice.
Value: mediumRisk: mediumEffort: lowidea~4 h/mo
How to talk to AI about it
- Context
- You support a supplier management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Review an exit plan against stressed and non-stressed scenarios.
- Output format
- Gaps per scenario with owner.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.
supplier management
QBR question prep
Prepare questions for a supplier quarterly review to support the supplier management practice.
Value: lowRisk: highEffort: mediumpilot~11 h/mo
How to talk to AI about it
- Context
- You support a supplier management process at a bank. Share only sanitised, non-personal details relevant to the case.
- Task
- Prepare questions for a supplier quarterly review.
- Output format
- 10 questions ranked by importance.
- Review step
- A named analyst checks facts against source records, edits, and approves before anything is shared or actioned.