Identifying Valuable Use Cases for AI Agents

 
 

Artificial Intelligence is no longer a distant experiment, it’s becoming an everyday business tool. But many organizations still struggle with the same question: where should we start?

The most effective way to identify valuable AI use cases is to follow a structured process. One that doesn’t begin with the technology itself, but with your customer journey and the challenges that matter most.

Here’s a proven three-step approach:

1. Customer Journey Mapping

Every successful AI initiative starts with clarity. That means mapping the end-to-end customer journey.

By visualizing every touchpoint—awareness, purchase, onboarding, support—you uncover where customers experience friction or delays.

✓ Do they get stuck at onboarding?
✓ Are service interactions inconsistent?
✓ Is there a gap between expectation and delivery?

These moments often reveal where AI could deliver the most impact.

2. Address Pain Points and Opportunities

Once the journey is mapped, the next step is prioritization. Not every pain point deserves investment.

Focus on:
✓ High-friction points that frustrate customers
✓ Repetitive manual tasks that slow down teams
✓ Bottlenecks that directly affect revenue

This is where AI agents become relevant. Instead of applying AI everywhere, you align it with real problems or high-value opportunities—whether it’s automating routine support, guiding users through a process, or surfacing insights faster.

3. Business Model Innovation

The final step is where the real transformation happens. AI isn’t just about fixing problems, it’s about reimagining how your business operates.

With the right use cases identified, you can design solutions that:

Enhance customer experiences by making interactions smoother and more personalized
Streamline operations by reducing time-intensive workflows
Uncover new products, services, or revenue streams that weren’t possible before

This is where AI shifts from being a cost-saving tool to a growth engine.

The Takeaway

AI agents don’t create value on their own. Value emerges when they are anchored in real customer journeys, solving meaningful pain points and unlocking new business opportunities.

The organizations that succeed won’t be those that simply “adopt AI.” They’ll be the ones that use AI to rethink how they serve customers, operate internally, and innovate in their markets.

At Soluntech, we help companies turn customer pain points into opportunities with AI, low-code, and custom solutions. If you’re exploring where AI could unlock the most value in your business, book a call with our team.