Create Your Agentic AI Roadmap for Data Management

Organizations are under pressure to move quickly on agentic AI, but most lack a reliable way to determine which opportunities are viable, operationally ready, and worth funding. Without a disciplined qualification process, teams risk investing in poorly scoped use cases and advancing initiatives before governance, data, and readiness conditions are in place. This blueprint helps CIOs, data leaders and governance stakeholders define, qualify, and then prioritize agentic AI use cases through a structured methodology that produces a defensible, execution-ready roadmap.

Before starting any agentic AI initiative, it is critical to define candidate use cases, validate them through agentic fit, readiness, and complexity gates, and prioritize qualified opportunities. Using a consistent scoring framework supports stronger roadmap decisions, governance alignment, and leadership confidence.

1. The most expensive use case is one that’s not well-defined.

Agentic AI investment is wasted when vague use cases are funded. Define your use cases using a consistent method to clearly scope and evaluate them against your business priorities.

2. Not every AI idea deserves to move forward.

Not every AI opportunity requires an agentic approach, and not every agentic use case is ready to move into delivery. Validate AI ideas using a three-gate model to qualify use cases based on each gate’s criteria.

3. A roadmap that surfaces risks gets executive support.

Leadership supports decisions they can defend and justify. Prioritize candidates based on benefits, efforts, and risks to turn use cases into fundable projects.

Use this step-by-step blueprint to qualify and operationalize your agentic AI opportunities

Our research offers a structured methodology along with practical tools, including a scoring kit and workbook, to help organizations qualify agentic AI opportunities before prioritizing them, resulting in a defensible, execution-ready roadmap.

Define the candidate use cases by identifying priority data management domains, scoping candidate opportunities, and documenting each use case using a structured method.
Apply the qualification gates to confirm whether the opportunity is truly agentic, operationally ready, and how complex it is to build.
Prioritize qualified candidates and turn them into action by using a scoring approach to compare opportunities, dependencies, and delivery considerations.
Translate scoring results into a sequenced, execution‑ready roadmap supported by clear rationale and governance alignment.
Create execution-ready decision outputs using decision cards with ownership, KPIs and guardrails to support leadership review and funding decisions.

Create Your Agentic AI Roadmap for Data Management Research & Tools

1. Create Your Agentic AI Roadmap for Data Management Deck – A comprehensive framework that establishes a disciplined methodology for qualifying and prioritizing agentic AI opportunities.

This research explains how to define candidate use cases, validate opportunities through qualification gates, and prioritize investments using structured scoring and roadmap sequencing methods.

Define candidate use cases using structured statements to determine alignment with business objectives.
Evaluate opportunities through a three-gate qualification model before prioritization begins.
Translate qualification and scoring outputs into roadmap decisions, governance alignment, and execution planning.

2. Agentic AI Scoring Kit – A scoring and prioritization toolkit for AI governance and delivery stakeholders that supports transparent investment decisions and roadmap sequencing.

The scoring kit applies qualification gates and structured scoring to help teams compare opportunities consistently and support defensible prioritization outcomes.

Apply a three-gate model to validate candidate opportunities.
Score qualified use cases based on business value, implementation effort, and delivery risk
Generate sequenced roadmap outputs and decision cards that support leadership alignment and funding discussions.

3. Agentic AI Candidate Definition Workbook – A structured worksheet for data management teams that standardizes how candidate use cases are scoped and documented.

This workbook helps teams capture candidate opportunities consistently, so business value, dependencies, ownership, and operational readiness can be evaluated on common criteria.

Document candidate use cases using a structured Trigger → Agent Actions → Outcome statement.
Align opportunities to business priorities, data management domains, and ownership.
Standardize candidate definitions before qualification and scoring activities begin.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

10.0/10

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$68,999

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Testimonial

Tyler Technologies, Inc.

Guided Implementation

10/10

$68,999

Best: Real options and paths for how to build a Knowledge layer on top of Data / Information. Worst: Vendor products are still immature and fragmen... Read More

Turn use cases, fit gating, readiness, complexity checks, and scoring into a defensible plan.

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.

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Guided Implementation 1: Define the Candidate Use Case

Call 1: Identify priority data management domains and frame the opportunity.
Call 2: Select and scope candidates as trigger-actions-outcome statements.
Call 3: Document the candidate register and confirm business owners.