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Specialist

AI for Enterprise Architects

Cross-Track specialist depth for architects connecting AI choices with enterprise context, portfolios, capabilities, information, integration, governance, and transition.

The workplace problem

Why this learning matters

Enterprise architects must shape AI-enabled change across business and technology systems, but tool-led architecture work can obscure context, decision authority, dependencies, evidence, and the transition from current constraints to an operable target.

Intended outcomes

What participants will learn to do

  • Frame AI-enabled enterprise change across strategy, capabilities, value, information, technology, governance, and operating dependencies.
  • Use AI assistance for selected architecture activities while preserving traceability, challenge, and accountable architectural judgment.
  • Distinguish durable enterprise decisions from provisional assumptions, vendor claims, and implementation detail.
  • Shape a transition path with explicit dependencies, evidence, review gates, and consequences for affected work.

Application at work

How participants can apply it at work

  • An enterprise context and dependency map for a selected AI-enabled change.
  • A reviewed architecture decision record with assumptions, alternatives, evidence, and accountable owners.
  • A current-to-transition architecture brief connecting capabilities, information, platforms, governance, and changed work.

Shaped to context

Shaped around your context

Flow Cracker shapes this specialist offer around the customer's enterprise context, architecture practice, portfolio, information and technology landscape, governance, approved tools, and transition constraints.

Entry context: Participants should bring practical architecture experience and one enterprise AI or transformation context with relevant strategic, portfolio, information, technology, and governance constraints.

Who it is for

Who this is for

  • Enterprise and business architects
  • Solution, data, integration, and platform architects working at enterprise scope
  • Architecture leaders supporting AI portfolios and transformation

Opportunity lenses

  • AI to build the product
  • AI to manage the enterprise

Capabilities strengthened

  • Engineering, Architecture & Verification
  • Enterprise, Portfolio & Investment Flow
  • Leadership, Change & Internal Enablement

Connected learning

Journey

Leading AI-Native Engineering Transformation

An Engineering Track leadership journey for redesigning the engineering system, platform enablement, governance, workforce, apprenticeship, and evidence around AI-native work.

Discuss the context

Shape the learning around the work that needs to change

Share the audience, workplace problem, constraints, and evidence you want the learning to address.

Discuss this learning need