AI in project management
Practical AI training for project managers, PMO staff and delivery leads. Apply AI to plans, risk registers, reports and communications while keeping project decisions and approvals with the responsible people.
How we can help
Project teams produce a steady flow of plans, meeting notes, risk updates and reports. AI can assist with parts of that work, provided the inputs are reliable and somebody checks the result against the project record. This programme helps project professionals identify suitable tasks and practise using AI within an established delivery process.
Exercises follow the project lifecycle, from preparing an initial plan to reviewing progress and communicating decisions. Participants work with agreed project documents or representative samples and examine what an AI response adds, omits or misunderstands. The course also covers confidentiality and approval boundaries, so AI-assisted material can be reviewed before it becomes part of an official project record.
When this may be useful
- Project managers spend considerable time preparing recurring documents and want to explore where AI assistance could be useful.
- A PMO needs consistent guidance for staff already experimenting with AI in reporting, planning or meeting documentation.
- Delivery leads want practical exercises that connect AI tools with the project templates and approval processes their teams use.
What the work involves
Planning and document preparation
Practise drafting outlines, breaking an agreed scope into activities and identifying questions that need answers before a plan is approved. Check proposed tasks and dependencies against the project team's knowledge.
Risk and issue working sessions
Use AI to help organise risk information and suggest areas for discussion. Review whether suggested risks are relevant, whether evidence supports them and who needs to assess the response.
Reporting and stakeholder communication
Prepare draft status summaries, meeting actions and audience-specific updates from supplied information. Check dates, figures, responsibilities and the distinction between a recorded decision and a proposed action.
Review controls and reusable tools
Agree which tasks are appropriate for AI assistance, what information can be supplied and who reviews the output. Build a prompt and template toolkit around those working boundaries.
How the assignment runs
Map the project work
Review the group's roles, templates and recurring documentation tasks. Select examples that reflect the way their projects are governed and reported.
Apply AI to the examples
Work through planning, risk and reporting exercises. Compare draft outputs with the source information and discuss what needs correction or a human decision.
Document the working approach
Assemble useful prompts, review steps and approval boundaries. Identify where the organisation's existing guidance needs to be consulted or clarified.
What to prepare
These details will help us understand the starting point and agree a useful scope:
- An outline of participants' project roles and the delivery methods they use
- Sample plans, registers or reports approved for training use
- Existing project approval procedures and guidance on AI tools or confidential information
If some information is still being developed, we can discuss what is available in the first conversation.
Questions about this service.
For anything specific to your organisation, get in touch. We can discuss the requirements before you decide on an engagement.
Do participants need coding skills?
No. The programme focuses on applying AI tools to project work. Familiarity with project plans, risks and reporting is useful because the exercises use those documents and decisions as their starting point.
Can we use our PMO templates during training?
Yes. Existing templates help participants practise in a format they already use. Share suitable samples beforehand and remove confidential details or provide representative data where required by your information policies.
Can an AI-generated risk register be used directly?
It needs review by people who understand the project. Participants learn to check relevance, assumptions, owners and proposed responses. The accountable team decides what enters the live register and how each risk is managed.
Let’s talk about what you need.
Share a little about your project, the challenge you are facing and where you would like some help.