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Build Your Generative AI Roadmap

Generative AI is here, and it’s time to find its best uses – systematically and responsibly.

Generative AI has made a grand entrance, presenting opportunities and causing disruption across organizations and industries. Moving beyond the hype, it’s imperative to build and implement a strategic plan to adopt generative AI and outpace competitors.

Yet generative AI has to be done right because the opportunity comes with risks and the investments have to be tied to outcomes.

Adopt a human-centric and value-based approach to generative AI

IT and business leaders will need to be strategic and deliberate to thrive as AI adoption changes industries and business operations.

  • Establish responsible AI guiding principles: Address human-based requirements to govern how generative AI applications are developed and deployed.
  • Align generative AI initiatives to strategic drivers for the organization: Assess generative AI opportunities by seeing how they align to the strategic drivers of the organization. Examples of strategic drivers include increasing revenue, reducing costs, driving innovation, and mitigating risk.
  • Measure and communicate effectively: Have clear metrics in place to measure progress and success of AI initiatives and communicate both policies and results effectively.

Build Your Generative AI Roadmap Research & Tools

1. Build Your Generative AI Roadmap Deck – A step-by-step document that walks you through how to leverage generative AI and align with the organization’s mission and objectives to increase revenue, reduce costs, accelerate innovation, and mitigate risk.

This blueprint outlines how to build your generative AI roadmap, establish responsible AI principles, prioritize opportunities, and develop policies for usage. Establishing and adhering to responsible AI guiding principles provides safeguards for the adoption of generative AI applications.

2. AI Maturity Assessment and Roadmap Tool – Develop deliverables that will be milestones in creating your organization’s generative AI roadmap for implementing candidate applications.

This tool provides guidance for developing the following deliverables:

  • Responsible AI guiding principles
  • Current AI maturity
  • Prioritized candidate generative AI applications
  • Generative AI policies
  • Generative AI roadmap

3. The Era of Generative AI C‑Suite Presentation – Develop responsible AI guiding principles, assess AI capabilities and readiness, and prioritize use cases based on complexity and alignment with organizational goals and responsible AI guiding principles.

This presentation template uses sample business capabilities (use cases) from the Marketing & Advertising business capability map to provide examples of candidates for generative AI applications. The final executive presentation should highlight the value-based initiatives driving generative AI applications, the benefits and risks involved, how the proposed generative AI use cases align to the organization’s strategy and goals, the success criteria for the proofs of concept, and the project roadmap.

Generative AI is here, and it’s time to find its best uses – systematically and responsibly.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

You Get:

  • A four-phased detailed model from building responsible guiding principles to an execution roadmap.
  • A deep understanding of the generative AI landscape, risks, and opportunities.
  • Case studies and industry-specific capability maps for AI adoption.

Need Extra Help?
Speak With An Analyst

Get the help you need in this 4-phase advisory process. You'll receive 6 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Establish responsible AI guiding principles
  • Call 1: ​Scope requirements, objectives, and your specific challenges.
  • Call 2: Identify AI strategy, vision, and objectives.

Guided Implementation 2: Assess current level of AI maturity
  • Call 1: Define responsible AI guiding principles to adopt and identify current AI maturity level.

Guided Implementation 3: Prioritize candidate opportunities and develop policies
  • Call 1: Assess and prioritize generative AI initiatives and draft policies for usage.

Guided Implementation 4: Build and communicate the roadmap
  • Call 1: Build POC implementation plan and establish metrics for POC success.
  • Call 2: Build and deliver executive-level generative AI presentation.


Bill Wong

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