AI Sprint: Managers
Your managers lead more effectively. AI handles what it can. Human judgment handles what it must.
Management is where artificial intelligence (AI) creates the most leverage, and where most organizations get it most wrong. Managers are not using these tools to plan better, report more clearly, or manage their teams more effectively. They are using them the same way their teams are: occasionally, for simple tasks. This program changes the management layer. Which is the lever that changes everything else.
For every management level: from team lead to program director
- Team leads and functional managers who manage day-to-day delivery and need AI to reduce reporting and administrative overhead
- Project managers who need AI to support planning, risk management, stakeholder communication, and progress reporting
- Heads of units and department directors who manage multiple teams and need AI for decision support and organizational visibility
- Program managers who oversee complex multi-project portfolios and need AI governance at the program level
This program is not for team members (see AI Sprint: Teams) or for executives and PMO leaders (see AI Corporate Leadership and AI-Powered PMO).
4 core sessions + 2 advanced sessions for program management level
The core 4 sessions are for all management levels. Sessions 5 and 6 are available as an extension for program managers and senior managers who govern multi-team delivery.
We map each participant's actual management workflow and identify where AI can add immediate value. The goal is to reduce manual tasks. Planning, status reporting, meeting preparation, team communication.
How to use AI as a thinking partner for management decisions as a fast, tireless analyst that prepares the materials for your judgment. We use participants' actual projects and decisions.
AI-augmented reporting: how to produce clearer, more accurate reports in less time, and how to calibrate AI output for different stakeholder audiences. Participants build a reusable reporting template set.
The management challenge with no historical precedent: leading a team where AI agents are doing some of the work. Who is accountable for AI-generated outputs? How do you give feedback on work that is partly AI-produced?
How to maintain governance, consistency, and visibility when multiple teams are using AI in different ways. AI portfolio-level tools. Escalation frameworks. The PMO interface. Standardizing AI practices across a function or program.
How risk management is changing as AI accelerates delivery. Managing AI-related risks. Basics of AI governance, oversight, and validation.
What you will get:
- Managers have replaced their most time-consuming manual management tasks with AI-augmented equivalents
- Participants produce planning documents, status reports, and stakeholder communications in significantly less time without reducing quality
- Managers can lead AI-augmented teams with clear accountability frameworks, they know what to govern and what to delegate
- Participants can use AI as a decision support tool: framing questions, generating options, stress-testing assumptions
- A governance framework for managing AI across multiple teams is in place
- An AI-related risk checklist is in place
The details
- Core sessions
- 4 sessions
- Extension
- +2 sessions for program management level
- Duration
- 12 weeks
- Participants
- Up to 15 per cohort
- Format
- Online / Hybrid / In-person
- Language
- Ukrainian / English
- Session length
- 3 hours
Common questions
Ready to bring this to your organization?
Fill in the inquiry form. We respond within 1 business day with a scoping proposal.
Request: AI Sprint: Managers →