Identify the failure points in generative AI workplace projects most likely to cause loss, and control them first.
Managing Projects to Embed Generative Artificial Intelligence in the Corporate Workplace
Move generative AI workplace projects from general awareness to a repeatable, reviewable practice.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Stakeholders withdraw support for generative AI workplace projects quietly before they withdraw it formally. Scope on workplace projects expands through small agreements made in isolation. Work is grounded in real cases drawn from this strand of project and portfolio delivery, which each participant adapts to conditions in their own organisation. It treats generative AI workplace projects as an operating discipline and equips participants to run it as one. They leave able to brief senior management on the project and portfolio delivery capability in terms that support a decision. It suits anyone whose decisions touch workplace projects, in large organisations and small ones alike. Where generative AI workplace projects is measured, it improves; where it is only discussed, it drifts. Buying a tool rarely fixes workplace projects; the underlying capability has to be built internally first. The programme closes with an action plan for this area of project and portfolio delivery that each participant writes for their own organisation.
Expected Learning Outcomes
Estimate cost and effort for workplace projects using more than one method.
Document decisions about generative AI workplace projects in a form that remains useful after the people change.
Choose the delivery approach for workplace projects — predictive, adaptive or hybrid — deliberately.
Design the governance and decision rights for generative AI workplace projects.
Define the scope of workplace projects precisely, including what is explicitly excluded.
Review contracts and agreements for the obligations they create around generative AI workplace projects.
Who Should Attend
Managers in small and medium organisations who own generative AI workplace projects alongside other duties.
Specialists advising senior management on workplace projects.
Planners and schedulers building the timeline for generative AI workplace projects.
Business change managers handling adoption of workplace projects.
Programme and portfolio managers overseeing generative AI workplace projects.
Client and stakeholder representatives monitoring workplace projects.
Course Modules
Generative AI workplace projects: progress measurement and early warning
2 sessions · 8 pointsSession 1Closing out generative AI workplace projects and capturing what was learned
- Define acceptance criteria for each deliverable of generative AI workplace projects.
- Hold a lessons session on workplace projects while memory is accurate.
- Measure progress on generative AI workplace projects by value earned, not tasks ticked.
- Archive the decision record for workplace projects so successors understand it.
Session 2Getting other functions to support workplace projects
- Agree what will be standardised in generative AI workplace projects and what will not.
- Record the rationale for each significant choice made about workplace projects.
- Set the review interval for generative AI workplace projects and who attends.
- Estimate the resource workplace projects requires to run as designed.
Workplace projects: risk identification, quantification and ownership
2 sessions · 8 pointsSession 1Building a schedule for workplace projects with a real critical path
- Distinguish symptoms from causes when generative AI workplace projects underperforms.
- Set the change control process for workplace projects and require cost and time impact.
- Check that records of generative AI workplace projects answer the questions likely to be asked.
- Arrange the handover of workplace projects so capability survives staff changes.
Session 2The hard cases in workplace projects and how to reason about them
- Identify the critical path through generative AI workplace projects and the float elsewhere.
- Register the risks to workplace projects with owner, probability and impact.
- Draft the minimum viable delivery plan for generative AI workplace projects.
- Verify six months later that changes to workplace projects have held.
Workplace projects: scope definition and exclusions
2 sessions · 8 pointsSession 1Writing the scope of workplace projects including what is excluded
- Compare resource demand from generative AI workplace projects against other commitments.
- Identify single points of dependency in workplace projects and reduce them.
- Plan handover of generative AI workplace projects to the team that will operate it.
- Manage supplier performance on workplace projects against contract, not goodwill.
Session 2Measuring progress on generative AI workplace projects honestly
- Define the decision gates for generative AI workplace projects and what evidence each requires.
- Close out actions on workplace projects rather than leaving them open indefinitely.
- Review at each gate whether generative AI workplace projects should continue at all.
- Map stakeholders of workplace projects by influence and current level of support.
Workplace projects: schedule, critical path and realistic duration
2 sessions · 8 pointsSession 1Estimating workplace projects without anchoring on the answer wanted
- Agree the escalation threshold for generative AI workplace projects in advance.
- Set escalation thresholds for workplace projects that work out of hours.
- Write the scope statement for generative AI workplace projects including explicit exclusions.
- Plan the sequence in which improvements to workplace projects will be introduced.
Session 2Managing suppliers delivering part of workplace projects
- Record what was learned when generative AI workplace projects did not go as planned.
- Identify where judgement in workplace projects is legitimate and where it is not.
- Build reporting on generative AI workplace projects that surfaces problems while they are small.
- Benchmark the organisation's workplace projects against comparable operations.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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