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AI Transformation Sprint · 2 weeks, fixed fee

Two weeks. A deployed pilot — not a slide deck.

The Big Four sell you a readiness assessment, a steering committee, and a 60-slide roadmap. We sell you two weeks that end with a working AI pilot in your hands and a costed plan to scale it. $25,000, fixed — and the fee credits toward the build it scopes.

The problem

You’ve seen the consulting version. You paid for the deck.

Somewhere there’s a $200K AI strategy document with your logo on it, and nothing shipped. That’s the Steering-Committee Tax: months of workshops that produce a recommendation, not a result. The mid-market can’t afford it and doesn’t need it.

What you need is to know — fast, and for a fixed, small price — where AI pays back and what it takes to get there. With proof, not promises.

The two weeks

Map. Build. Decide.

A fixed, two-week shape — so you know exactly what happens and what you walk away with.

Days 1–3 · Map

Find the work worth automating

We sit with your team, map the candidate workflows, and pick the one with the clearest ROI and the cleanest path to production.

Days 4–8 · Build

Build a working pilot

Engineers build a real, scoped pilot against your data and stack — not a mockup. Evals before anything ships.

Days 9–14 · Decide

Cost the build, make the call

You get a deployed pilot, a costed build plan, and an honest recommendation on whether and how to scale it.

What you walk away with

Evidence, not opinions.

A deployed pilot

A working AI pilot running against your real data — not slides.

A costed build plan

Exact scope, timeline, and price to take the pilot to production.

An ROI model

What the workflow saves, quantified, so you can take it to the board.

An honest recommendation

Including “don’t build this yet” when that’s the right answer.

What “working pilot” means

Four things it has to be.

Not a mockup, and not yet the production build. The Sprint ends with the scope, timeline and price for that.

It runs on your data

Built against your real data and inside your stack, not a sandbox with sample records.

It covers one workflow

The one picked in days 1–3 for the clearest ROI and the cleanest path to production.

It is evaluated before it ships

Evals come first. You see how often it is right, not only that it runs.

It is deployed, not demoed

At the end of week two it is running where your team can use it.

After the two weeks

Three ways it ends.

You decide with a running pilot and a fixed price in front of you.

Build it

Take the pilot to production

The costed build plan becomes a Gigabit Agents engagement: flat fee per agent, from $8,000. The $25,000 Sprint fee credits toward it.

Run it

Keep it healthy once it is live

Managed AI Operations covers monitoring, evals and drift for $3,000–$20,000/mo, sized to the number of systems.

Stop

Don’t build this yet

Sometimes that is the right answer, and we say so. You leave with the ROI model, the plan and the reasons.

The anti-positioning

We are not a consultancy that bills by the hour for a readiness deck and disappears. The Sprint produces a working pilot and a real plan — and the fee credits toward the build.

Weighing it against other offers? See published fixed-price AI pilots side by side, ours included.

Proof

Where a two-week start has led.

Both of these began with a paid two-week assessment that set the scope and the order of work, before any build was priced. That is the job the Sprint does today, and the Sprint also ends in a deployed pilot.

Management consulting firm, US-based, 140 employees, $32M annual revenue

A phased AI transformation recovered 1,200 consultant-hours per quarter and $480K/year for a 140-person consulting firm — 129% Year 1 ROI.

1,200/quarter
Hours recovered
$480,000
Year 1 value
4–8 hours → 45 minutes
Proposal creation time

Investment: $210,000 (Year 1 total; $156,000 build) · Timeline: 6 months across 3 phases

Read the case study
Direct-to-consumer home goods brand on Shopify Plus, $12M annual revenue

A confidence-gated AI support agent now resolves 64% of tickets autonomously, cutting support costs 62% — $217,200 saved in year one.

$217,200
Annual savings
3,149/month (64%)
Tickets resolved by AI
4.2 hours → 6 minutes
First response time

Investment: $92,000 (Year 1 total) · Timeline: 10 weeks (2-week assessment + 8-week build)

Read the case study

Those assessments cost $12,000 and $8,000 and did not include a pilot. For how the Sprint’s price compares with other published offers, see fixed-price AI pilots side by side.

Sprint FAQ

Questions about the Sprint

How much does a two-week AI pilot cost?

$25,000, fixed. That covers workflow mapping, an ROI model, a pilot built and deployed against your own data, and a costed plan to take it to production. The fee credits toward a Gigabit Agents build if you proceed.

How fast can you take an AI idea to a working pilot?

Two weeks. Days 1–3 map the candidate workflows and pick one, days 4–8 build the pilot with evals, and days 9–14 deploy it and cost the full build.

What counts as a working pilot?

One workflow, running against your real data inside your stack, evaluated before it ships and deployed where your team can use it. It is not a mockup or a slide deck, and it is not yet the production build: the Sprint ends with the scope, timeline and price for that.

What is the AI Transformation Sprint?

A two-week, $25,000 fixed-fee engagement that maps your workflows, models the ROI, and ends with a deployed pilot AI agent plus a costed plan to scale — not a slide deck.

How is it different from a consulting readiness assessment?

A readiness assessment ends in a recommendation. The Sprint ends in a working pilot and a fixed build price. You see the AI run before you commit to building it.

Does the fee count toward a build?

Yes. The $25,000 credits toward a Gigabit Agents build if you proceed.

Go deeper

From the field notes

Start here

Two weeks to a deployed pilot.

Bring your hardest workflow. We'll map it, build a pilot, and tell you honestly whether to scale it.