Test one practical AI opportunity before you scale it

Who it is for

Companies

interested in AI but unclear on where to start

Teams

with a repetitive workflow, document-heavy process, or product feature idea that could benefit from AI

Businesses

that want a practical pilot before committing to larger AI investments

What problem it solves

From chaos to concept

What’s included

  • identifying the AI use case most worth testing
  • shaping the scope of a focused pilot
  • planning how the pilot should work in practice
  • building and testing the pilot
  • reviewing results and deciding what should happen next

What you get

  • one clearly defined AI use case to test
  • a practical pilot with realistic scope
  • a working proof point, not just an idea
  • clearer insight into whether the use case is worth expanding
  • a recommendation for rollout, refinement, or stopping there

How it works

1

Find the right use case

We review the workflow or product opportunity and identify where AI could create meaningful value.
2

Scope a practical pilot

We define a focused version that can be tested realistically without turning the effort into a broad transformation program.
3

Pilot and measure

We implement the pilot, review results, and help the team decide what should happen next.

Typical timeline

2–4 weeks for discovery and scoping, followed by 4–8 weeks for many pilot implementations.

Typical investment

From $15k for discovery and scoping, and from $30k for a focused pilot.

Explore AI with less risk and more clarity

Talk to us about an AI pilot

FAQ

Do we need a fully formed AI use case before starting?

No. Many engagements begin with a broad problem area and use the early phase to identify the best place to start.

Is this an AI transformation program?

No. This offer is intentionally focused. The goal is to test one use case well before expanding.

What kinds of pilots work well?

Common examples include document workflows, knowledge assistants, support automation, summarization, recommendations, and AI-enabled features inside existing products.