Engagement Package

AI Governance & POC Readiness Sprint

We help organizations establish practical AI governance — from foundational frameworks to ISO/IEC 42001 implementation and ethical AI product assessment. We also help identify and validate high-value AI use cases so capital, executive attention, and implementation effort are directed toward initiatives with real business value.

This short engagement is a fit if you are:

  • Exploring AI but unsure where to start
  • Evaluating ISO/IEC 42001-aligned governance, AI RMF practices, or ethical AI product governance
  • Considering your first AI proof of concept or pilot
  • Concerned about AI risk, oversight, data use, or stakeholder trust
  • Looking for a practical roadmap before committing major budget

Typical outcomes include:

  • AI governance and readiness discussion
  • Initial use-case and opportunity review
  • Risk, ethics, and oversight considerations
  • ISO/IEC 42001-aligned next-step recommendations
  • Practical roadmap for a responsible AI pilot or governance initiative
  • Ethical AI certified mark (IEEE) for AI products

Not sure which path fits? Start with a quick conversation.

We’ll clarify your current need, determine whether this package is a fit, and identify the most practical next step. Move from AI interest to responsible, practical next steps.

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Ways to Begin

  • AI governance and readiness discussion
  • ISO/IEC 42001 readiness or implementation planning
  • AI RMF alignment and practical risk controls
  • Ethical AI product governance or assessment
  • AI use-case intake and prioritization
  • First POC selection and governance guardrails
  • Executive roadmap for responsible AI adoption
  • Benefits of IEEE ethical AI certified mark for AI products or services

Sample paths:

Sprint paths shown below are examples only, not fixed requirements. Your engagement may begin with a short diagnostic, a scoped sprint, or some combination.  Being need-driven, an engagement may focus on governance, POC readiness, or a combination of both.

AI Governance Sprint

Objective: Understand AI governance need within organizational context
Sprint Goal: Define key governance requirements and determine appropriate governance model(s)

Sample Activities

  • Determine scope of current or anticipated AI use by organization
  • Understand the financial, compliance and operational factors the organization must manage 
  • Evaluate governance models and preliminary scope necessary to implement an effective governance program
  • Determine ongoing monitoring and future audit needs

We aim to reinforce AI governance approaches designed to help you adopt and leverage AI to advance your business efficiently and profitably. Our services ensure the right checks and balances are in place to manage budgets, maintain workforce accountability, and support the responsible use of AI in your products and services.

This sprint does not assume a full ISO/IEC 42001 or other governance implementation. If appropriate, the outcome may include an implementation roadmap.

Need ongoing guidance after the sprint? Explore our Fractional AI & Transformation Advisor service.

POC Readiness Sprint - 1 to 4 weeks

Objective: Deliver operational or strategic value leveraging AI
Sprint Goal: Identify and vet POC, review governance needs, prepare for a pilot

Sample Activities

  • Review current workflow(s) that create value and service customers
  • Identify, define, and vet POCs that can enhance or improve value delivery 
  • Execute POC and learn what worked, what to improve, what to avoid
  • Benchmark performance gains, identify operational process updates, and examine new goals
  • Repeat new POCs or prepare for expanded pilot 

We aim to help you invest in use cases that offer potential value and avoid misplaced investments 

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