Forward-deployed AI engineering

We make AI actually work inside your business.

AI is a general-purpose capability. The last mile — getting it to work inside your real workflow, on your real data, without breaking anything — is the hard part. That last mile is all we do.

We work async. Send one email describing the workflow that's slowing you down — we take it from there.

The problem

"Use AI to make this faster" is not a buildable job.

Most AI projects fail at the seams — not because the model can't do it, but because nobody figured out where to apply it. Point a model at a whole messy process and it invents work. The value is in choosing the one spot where a small, well-bounded build moves the most work at the least risk.

The idea

Find the leverage point. Build only that.

We borrow the discipline of process bottleneck-mapping and aim it at AI: pull your real cases, sit with the people doing the work, and find the front-of-workflow bottleneck where the information to act already exists — then automate exactly that, and leave the judgment to your people.

01

High-frequency

We target the delay that happens often enough to matter — not the rare edge case.

02

Low authority

The AI flags, drafts, and prepares. Decisions with money or liability stay with humans.

03

Measurable

Every engagement ships with numbers: time saved, cases cleared, hours reclaimed.

What we do

From a diagnosis to a system you own.

Start light. Go as far as the results justify.

1
Diagnose

Leverage-Point Audit

We map your workflow, rank the bottlenecks, and hand you a prioritized plan of where AI pays off — with the rough-math on impact. Often worth it on its own.

2
Prove

Pilot Build

The simplest guard-railed solution for your #1 leverage point, tested against your real cases with a clear pass/fail bar.

3
Own

Deploy & Own

Into production, measured against reality, tuned until the value is real — and maintained on retainer.

See how each stage works →

What's the workflow slowing you down?

Tell us the recurring process where things pile up. We'll tell you where AI would actually help — and where it wouldn't.

Get in touch