How AI Champions Identify High-Value AI Use Cases

How AI Champions Identify High-Value Use Cases for AI

One of the most valuable contributions AI Champions make is helping their teams see where AI can make a difference. Rather than chasing trends or experimenting in isolation, Champions look for opportunities where AI can deliver measurable improvements. They translate potential into practice by uncovering workflows that are ripe for automation or augmentation.

Starting with Pain Points

AI Champions begin by understanding where time, energy, and resources are being wasted.

How they uncover pain points

• Talk to colleagues about repetitive, manual tasks that slow them down

• Review bottlenecks in processes where delays frequently occur

• Look for areas where accuracy or consistency is difficult to maintain

• Gather feedback from teams about what they find most frustrating in daily work

Mapping Current Workflows

Once pain points are identified, Champions dig deeper into how the work is actually being done.

What they assess

• Step-by-step tasks involved in the workflow

• Points where decisions are rule-based and repeatable

• Activities that involve high-volume data handling

• Gaps where handovers between people or systems create friction

Matching Problems with AI Capabilities

Not every problem is a good fit for AI. Champions carefully evaluate where automation or augmentation will add value.

Criteria they use

• Repetitive tasks: e.g. drafting reports, summarising documents, responding to FAQs

• Data-heavy processes: e.g. analysing customer feedback, spotting trends in sales data

• Standardised formats: e.g. onboarding documents, compliance reports

• High-volume workloads: e.g. customer service tickets, content generation

Testing with Small Experiments

Rather than pushing large-scale changes immediately, Champions start small.

Their approach

• Design pilot projects with clear success metrics

• Test AI on one workflow to see if it delivers measurable improvements

• Gather feedback from end-users before scaling further

• Share results openly so others see the value in real terms

Turning Wins into Repeatable Patterns

Champions know that one success can be multiplied across the organisation.

How they scale adoption

• Document successful workflows step by step

• Create playbooks or templates for others to reuse

• Share examples in meetings, training sessions, or team channels

• Encourage colleagues to adapt proven use cases to their own work

Focusing on Human Impact

Above all, AI Champions remember that AI is not here to replace people—it’s here to support them.

What they emphasise

• Freeing employees from routine tasks so they can focus on creative, strategic work

• Ensuring humans remain in control of final decisions

• Using AI to improve job satisfaction, not erode it

• Showing how AI enhances, rather than threatens, human contributions

Final Thought

AI Champions don’t just experiment with tools—they uncover meaningful use cases that make work faster, easier, and more consistent. By starting with pain points, mapping workflows, testing in small ways, and scaling proven successes, they ensure AI adoption delivers lasting value.

The result? Teams that see AI not as a novelty, but as a trusted partner in getting better work done.