How to Find The Best Agentic AI Use Cases and Opportunities

Agentic AI has become one of the most transformative levers in modern tech strategy—but knowing where to start is just as important as knowing how to build. For technical program and project managers, success often hinges not on technical brilliance, but on choosing the right use cases.

This blog walks you through a proven framework to identify high-value, feasible, and implementable Agentic AI use cases within your organization.

❌ When Not to Use AI Agents

Before diving in, let’s get one thing straight—not everything should be automated.

AI agents are powerful, but there are limits. Avoid applying agentic AI to:

• Tasks needing human creativity or emotional intelligence – Think design ideation, coaching, or conflict resolution.

• Strategic decision-making – Agents can provide data, but critical decisions should remain with empowered humans.

• Overly complex or poorly understood workflows – If you can’t explain the process without saying "it depends" or "sometimes it’s different," it’s probably not ready for AI.

✅ How to find Best Agentic AI Use Cases?

Use a three-lens framework: Impact, Feasibility, and Effort. Let’s break it down:

1. High Impact – Will It Matter?

Target tasks that, if automated, meaningfully improve operations. Ask:

• Does automating this save significant time or cost?

• Does it enable top talent to focus on higher-value work?

• Could it reduce human error at scale?

Surprisingly, it’s often repetitive, not complex, tasks that deliver the highest ROI.

💡 Tip: Check your backlog or retro notes. Repeated complaints often signal high-impact automation opportunities.

2. Feasibility – Can It Be Done with Today’s Tools?

Feasibility depends on current capabilities of agentic AI. Strong candidates have:

• Clear and consistent decision rules

• Structured, accessible data

• Well-defined success criteria

• Minimal risk if the agent fails

• A way to verify outcomes before they affect operations

💡 If a task relies on tribal knowledge or has too many exceptions, it’s likely not feasible yet.

3. Effort – Is It Worth It?

Even feasible, high-impact opportunities may not be worth pursuing if implementation is disruptive or resource-intensive. Ask:

• Is the process well-documented?

• Is your team willing and ready to adapt?

• Can you start small?

• Are the benefits clear and measurable?

Look for use cases where existing platforms and tools can be leveraged without major disruption.

🔄 The Sweet Spot: Balancing Impact, Feasibility, and Effort

The intersection of high impact, strong feasibility, and manageable effort is your ideal Agentic AI use case.

Map candidate tasks into a simple three-circle Venn diagram, or better, run a structured workshop to identify, evaluate, and prioritize opportunities.

How to Run an Agentic AI Prioritization Workshop

Here’s a practical step-by-step format to find the best Agentic AI opportunities in your organization:

Step 1: Task Inventory

• Run a focused 2-hour session.

• Ask teams to list recurring, operationally critical tasks.

• Focus on repeatability, not role descriptions.

Step 2: Impact Assessment (Score Each Task 1–5)

Use these sub-criteria:

1. Time Saved – How much manual time can be eliminated?

2. Strategic Value of Freed Time – Could this free people for innovation or customer impact?

3. Error Reduction – How often do errors currently occur?

4. Scalability – Can this automation be applied to multiple teams or functions?

Total Impact Score: Max 20 points

Step 3: Feasibility Assessment (Score 1–5 Each)

Evaluate two dimensions:

• Process Standardization – Are the steps structured and repeatable?

• Data/System Access – Is the data clean, structured, and API-accessible?

Feasibility Score: Max 10 points

Step 4: Implementation Effort

Measure how hard it will be to build an agent:

• Technical Complexity (Reverse scored from 5 = Easy, to 1 = Hard)

Effort Score: Max 5 points

✅ Start with mainstream tools and known platforms—don’t reinvent the wheel for the first few agents.

Step 5: Build the Agentic AI Prioritization Matrix

Use a 2D matrix to visualize:

• X-axis → Business Impact (from Step 2)

• Y-axis → Combined Complexity (Feasibility + Effort)

Here is the template:

Agentic AI Use Cases Prioritization.xlsx

Download XLSX • 20KB

This forms four quadrants:

Quadrant	Description
Quick Wins	High Impact, Low Complexity – Prioritize these
Strategic Bets	High Impact, High Complexity – Plan carefully
Low Priority	Low Impact, Low Complexity – Optional
Avoid	Low Impact, High Complexity – Not worth it

✅ Final Checklist Before You Start

Beyond scoring, prioritize use cases that:

• Deliver clear, measurable results in 3–6 months

• Affect a wide enough audience to build support

• Have an executive champion to drive change

• Can serve as a learning pilot for broader rollouts

🎯 Conclusion: From Possibility to Action

Agentic AI isn’t about full automation of job roles—it’s about augmenting teams by automating the right tasks. The best opportunities are often hiding in plain sight: documented, repetitive, yet annoying processes that drain your team’s time and morale.

By using this structured approach, you’ll not only identify high-potential Agentic AI use cases, but also ensure that you’re investing in what matters most to your business.