AI & Data · Service

AI PoC & MVP Development

Turn AI concepts into working pilots that prove value.

In 3–6 weeks you'll have a pilot running on your data — and an honest answer about whether it's worth scaling.

Why start with a pilot

Most AI initiatives fail on assumptions.

The data isn't good enough, users won't trust the output, the cost per query doesn't scale. A pilot surfaces all of that for a fraction of a full build.

01

Weeks, not quarters

A working system on your real data in 3–6 weeks. Fast enough to keep momentum, thorough enough to trust the result.

02

Success defined up front

We agree measurable targets before we start — accuracy, time saved, cost per task — so “did it work?” has a factual answer.

03

An honest verdict

Scale it, adjust it, or kill it. We tell you which — including when AI isn't the right tool. That honesty is the product.

How it runs

The pilot process.

01 · Week 1

Frame

Pick one use case, define success metrics, and check data access. If the data won't support the pilot, you find out now — not in week five.

Common pilot candidates

Where AI pilots pay off first.

Document-heavy workflows

Invoices, contracts, applications, claims — extraction and classification pilots.

Customer communication

Draft responses, triage inboxes, summarise threads — with human review where it matters.

Knowledge access

Ask questions across your internal docs and policies — grounded answers with sources.

AI-native product features

Founders: validate the AI feature at the core of your product before betting the roadmap on it.

Have an AI idea worth testing?

Tell us what you're working on and where you'd like to be in 6–12 months. Free 30-minute call; we reply within one business day.

Book a Discovery Call