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AIDIVE / DESIGN THE TRANSFORMATION
AI Transformation
Strategist.
Design AI transformation across strategy, business value, data, workflows, people and governance. Explore the proposed four-day AI Transformation Strategist outline.
4 days · Proposed programme outline
TAKE THE NEXT STEP
Who this route is for
Transformation leaders, strategy and portfolio professionals, operating-model designers and internal advisors shaping enterprise AI transformation.
DURATION
4 days
PROPOSED PRACTICAL OUTPUT
Transformation design pack
Proposed programme outline
Go a little deeper.
A connected curriculum built around the work this role needs to do. Module scope and activities are a draft for programme design.
MODULE 01
Framework architecture
connect the Maturity Journey, Agentic AI Operating Model and Practices & Playbook.
MODULE 02
Maturity and evidence
examine Alignment, Impact, Data, Integration, Values and Ethics across the five journey phases.
MODULE 03
Strategy and portfolio
connect strategic intent, outcome hypotheses, prioritization, funding and risk decisions.
MODULE 04
Operating-model design
connect Strategy, Portfolio, Value Stream, Agentic Networks and Teams.
MODULE 05
Agentic work and control
map decisions, roles, action boundaries, autonomy appetite and human oversight.
MODULE 06
Enabling capabilities
examine agent-ready data, integration, human readiness, governance and ethical concerns.
MODULE 07
Total AI economics
reason about value, operating costs, uncertainty and the evidence needed for investment choices.
MODULE 08
Transformation rhythm
combine a sequenced roadmap with review, learning and adaptation mechanisms.
Bring the learning into a practical artifact.
A PROPOSED LEARNING DELIVERABLE
Transformation design pack
Draft transformation design pack: evidence-based readiness view, one operating-model scenario, portfolio priorities, an outcome and economics hypothesis, and a roadmap with decision and review points.
Draft assessment principles
Evidence of learning should show how a participant reasons and applies the framework in context. Suggested review questions:
Connect the diagnosis, strategic intent, operating-model choices and roadmap through a clear line of reasoning.
Distinguish observed evidence, assumptions and the information still needed for a decision.
Explain value, cost, governance and human-capability tradeoffs in the proposed design.
Where the learning can lead
Use the design pack in an appropriate organizational context. Practitioners seeking consulting application support may explore AI Transformation Consultant enablement; this is an optional route.
Proposed programme outline. An integrated case presentation with a reasoned defense of assumptions and design choices is a draft evidence model, not an official examination or credential requirement.
LEARN. CONTRIBUTE. APPLY.
Make this learning route
work for you.
Discuss the outline, explore learning for your team and choose an appropriate starting point.
TRAINING & CERTIFICATION
Build the capability.
Plan learning around your role, the outcomes you want and the capability you need to build.
PARTNER WITH AIDIVE
Grow the practice.
Bring your learning, delivery or research expertise to the holistic AIDIVE approach to enterprise AI transformation.
AIDIVE PLATFORM
Bring AIDIVE into your work.
See how the proposed workspace could connect AI transformation learning, maturity evidence and practical artifacts.
CONNECT THE DOTS