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AI business leadership

Corporate sessions

AI Mini MBA

A live, applied executive AI learning stack for corporations, managers, and leaders who need strategy, workflow redesign, governance, use-case prioritization, and implementation judgment.

Editorial collage showing applied program delivery, partner coordination, and visible outcomes across a portfolio of initiatives.

The program

Structured sessions, not tool demos.

Problem solved

Managers need more than tool demos.

Most organizations do not need more AI hype; they need structured sessions that help leaders make better decisions, improve real workflows, manage risk, and create evidence of progress.

What learners produce

Artifacts that can be inspected, coached, and improved.

Participants complete applied business exercises, prompt patterns, workflow maps, use-case scorecards, governance notes, strategic roadmaps, and an executive-ready implementation brief.

Why it works

Built from the full set of sessions Mitch teaches.

The AI Mini MBA brings together AI at Work, prompting, custom GPTs, AI strategy, responsible governance, workflow redesign, internal champions, and implementation planning.

Session architecture

What the AI Mini MBA can cover.

The format can be taught as a concentrated executive experience, a month-long leadership program, or a stack of corporate sessions adapted to the audience.

  1. Step 01

    AI strategy and business model change

    Leaders learn where AI changes value creation, competition, customer expectations, operating models, and the decisions executives need to make before broad rollout.

  2. Step 02

    Prompting, analysis, and better knowledge work

    Participants practice using AI for research, synthesis, drafting, decision support, meeting preparation, communication, and reusable workflows.

  3. Step 03

    Custom GPTs, workflow redesign, and internal champions

    Teams identify repeatable work, design useful assistants, map human-in-the-loop routines, and define how champions support adoption without becoming bottlenecks.

  4. Step 04

    Governance, risk, and responsible implementation

    The program covers data sensitivity, accuracy, bias, IP, transparency, human review, policy norms, and the practical controls teams need.

  5. Step 05

    Use-case prioritization and implementation roadmap

    Leaders score opportunities by value, feasibility, risk, data readiness, and team capacity, then translate that thinking into a roadmap they can defend.

Corporate audiences

Sessions for managers and leaders across industries and regions.

Mitch has provided AI Mini MBA teaching, insight, and strategy for audiences connected to Spark NZ, Anheuser-Busch, Sherwin-Williams, Billie-Ann Plastics Packaging Corp, Adobe, CanLift Equipment Ltd., AI Forum New Zealand, Daylight Studio, Harcourts Auctions, and enercity.

Leadership judgment

Translate AI into executive decisions.

Sessions help leaders understand what AI changes, which use cases deserve attention, where risk needs controls, and how to communicate the change to teams.

Operational relevance

Connect AI to actual work.

The learning stays close to real workflows: sales, operations, marketing, customer communication, internal knowledge, analysis, service delivery, and management routines.

Global transfer

Adapt the same core methods across markets.

The approach travels across Spain, the United States, Portugal, Australia, Germany, Peru, Canada, and New Zealand while staying specific to each organization's context.

Next step

Bring the AI Mini MBA to your leadership team.

Tell us the audience, the format that fits, and what your teams are already trying with AI, and we will scope the right session stack.