Use Cases

AI in Action Across the PMO

Real operational examples of how AI is transforming project delivery — not in theory, but in practice.

Executive Reporting Automation

The Problem: Executive packs take days to assemble, by which time the data has shifted and the narrative is already stale.
Traditional: PMs export from multiple systems, copy figures into a template, draft narrative by hand, and route through review.
AI-Enabled: AI drafts structured, governance-checked reports from connected project data, applying your house style and tone in minutes.
Outcome: Up to 60% reduction in reporting cycle time, consistent narrative across portfolios, more time for analysis.

The Problem: Notes don't get written up, actions go missing, and the next meeting starts by re-litigating the last one.
Traditional: A PM scribes during the meeting and writes up notes the same evening, often missing nuance.
AI-Enabled: AI captures, summarises, and assigns actions automatically — with owners, due dates, and links to relevant artefacts.
Outcome: Zero lost actions, consistent meeting record, PMs present in the conversation rather than typing.

The Problem: Plans take days to draft and weeks to align, delaying mobilisation and front-loading risk.
Traditional: Workshops, whiteboards, and iterative spreadsheets, with risks and dependencies surfaced late.
AI-Enabled: AI structures a first-draft plan from project shape — phases, milestones, risks, dependencies — ready for human refinement.
Outcome: 3× faster planning cycles, earlier risk visibility, more time spent on decisions instead of structure.

The Problem: RAID logs are disconnected, out of date, and used as evidence after the fact rather than to drive decisions.
Traditional: Static spreadsheets updated before steering committees, with little active management between cycles.
AI-Enabled: Live, AI-updated RAID with escalation logic, ageing rules, and trend commentary surfaced to the right owner.
Outcome: Active risk management, earlier escalation, fewer surprises at exec level.

The Problem: Every stakeholder update is drafted from scratch, tone varies by author, and important detail is buried.
Traditional: PMs write each update individually, often replicating effort across audiences.
AI-Enabled: AI produces structured updates tailored by audience — sponsor, steering committee, working group — from a single input.
Outcome: Consistent voice, audience-appropriate detail, hours saved per cycle.

The Problem: Governance packs are assembled manually from multiple sources, with high effort and high error risk.
Traditional: Aggregating evidence across PMs, programmes, and PMO operators ahead of every governance forum.
AI-Enabled: AI-assisted governance packs that pull from agreed sources, apply controls, and produce audit-ready output.
Outcome: Faster cycle, lower error rate, defensible audit trail.

The Problem: PMs spend hours researching templates, drafting, and chasing precedent instead of leading delivery.
Traditional: Manual search across SharePoint, asking colleagues, recreating artefacts that already exist.
AI-Enabled: A governed PM copilot configured to your standards — drafting, summarising, advising, and producing PMO-aligned outputs.
Outcome: Material productivity gain per PM, more consistent artefacts, faster onboarding for new joiners.

The Problem: Performance reporting lives in static spreadsheets and is out of date by the time anyone reads it.
Traditional: Manual data refresh, monthly assembly, narrative written separately.
AI-Enabled: AI-populated live dashboards with auto-generated commentary, ready for executive review at any time.
Outcome: Always-on visibility, faster decisions, less PMO time spent on reporting plumbing.