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AI strategy consulting that ends in a built thing.

If your AI strategy doesn't end in a built thing, it isn't a strategy - it's a deck. Ours is a two-week window, fifteen pages, and a recommended next sprint, written by the same two people who would ship it.

14d
sprint, no extensions kickoff to read-out
$25–45k
flat fee, set by scope not hours
15
pages, not a hundred
12
agents shipped in 90 days
92%
renewal rate across the cohort
2
founders - no junior layer

Most AI strategies end in a SharePoint folder. Ours ends in a sprint.

Most consulting firms
Strategy and build are separate teams - they drift apart from page one
Hundred-page decks delivered by analysts you'll never see again
Vendor-agnostic write-ups that recommend nine tools and integrate none
Return on investment (ROI) models with hidden assumptions - impossible to stress-test
Multi-quarter discovery phases that expand to fill the calendar
JAAX Labs
Same two people who write the strategy are the ones who'd ship the build
Fifteen pages. The document is the document. No companion deck.
Named vendors, named models, named migration costs - not categories
ROI model with visible assumptions - head of finance can argue with it
Two weeks, no extensions. Kickoff to read-out, no exceptions.

Fourteen working days. Same shape every time.

Days 1–3

Buyer interviews & system map

We sit with three to seven of your buyers and map every system the agents would touch - CRM, helpdesk, ops layer, data warehouse. We collect your existing decks, vendor RFPs, and the spreadsheet with everyone's pet project.

Days 4–7

Use-case triage against a fixed rubric

Every candidate project gets a written assessment: data availability, integration cost, whether the data is clean enough to matter, who owns the number that proves it worked. The output is reds, yellows, and greens. The rubric doesn't care which executive sponsored which project last quarter.

Days 8–10

Build-vs-buy & ROI modelling

For each green-rated project: named vendors, components to build, and exactly where they connect. Cost in three buckets - model spend, engineering hours, integration overhead - with assumptions visible for the head of finance to argue with.

Days 11–14

Roadmap, kill list & read-out

Green projects sequenced with named owners and risks. Projects to stop funding with one paragraph each. And a recommended next sprint - costed and scoped - that turns the highest-leverage green into a running system in fourteen days.

Fifteen pages: use-case rankings, ROI model, build-vs-buy, roadmap, kill list.

One document, not twelve sub-documents. Short on purpose - if we can't answer what the buyer needs in fifteen pages, we haven't finished thinking.

Book a fit call  →
AI Strategy Sprint · Deliverable · JAAX Labs
AI Strategy Sprint - Deliverable
YOUR COMPANY  ·  15 PAGES  ·  CONFIDENTIAL
01
Prioritized Use-Case List
Every candidate project with a red / yellow / green rating and one paragraph each on why.
02
Cost / ROI Model
Per-priority item, assumptions visible and stress-testable by your head of finance.
03
Build-vs-Buy Decisions
Named vendors, named models, named migration costs. Not categories - vendors.
04
Six-Month Roadmap
Green-rated projects sequenced with named owners and a kill switch per project.
05
Kill List + Recommended Next Sprint
Projects to stop funding with one-paragraph justifications. Plus a costed proof of concept (PoC) sprint for the top green item.

Four shapes. Ranges from $25k to $150k+.

The other three are the natural next steps - most clients who buy the sprint commission at least one within the quarter. We publish ranges because we hate the call where you ask the price and three weeks of email-tag begin.

Production PoC $50–150k

Fourteen days to one agent live in your stack. Eval harness, dashboard, runbook included. The natural next step after a green-rated project.

Full implementation $150k+

Six to twelve weeks. Multi-agent systems, MLOps (the operations layer that keeps the agent running reliably in production), monitoring, integration. For roadmaps where the green list is three or more projects deep.

Team augmentation $/month retainer

Founders embedded with your team. Architecture decisions, code review, eval (automated test suite that scores model output) design, hiring help. Quoted by scope.

/ How we know this works - Sentinel /

The strategy you'll get is the strategy that built Sentinel.

Sentinel is JAAX's live Shopify analytics product. The triage rubric, the ROI model, the kill-list discipline - every habit on this page was earned shipping it, not theorized for a deck. The proof is that you can buy the product the methodology built.

See Sentinel
14d sprint, two weeks, no extensions
15 pages, not a hundred
12 agents shipped in 90 days
2 founders, no juniors

For the team that has tried once and learned the difference between a demo and a deployed thing.

The buyers we do our best work for share three traits:

  • A number they want moved - deflection rate, recovery rate, time-to-quote, cost-per-ticket
  • At least one AI initiative already attempted - they know the difference between a working agent and a working demo
  • A window, usually a quarter, to show something running

The work fits Series A startups where the founder is the buyer. It fits mid-market companies where a head of data has been handed AI as a portfolio. It fits Fortune 1000 divisions that have given up on the global AI office and want to ship one thing well in their own P&L.

If you need a hundred-page deck, a vendor-agnostic write-up, or a maturity-model heatmap - call a Big Four firm. We're not better at that than they are, and we'll tell you so on the fit call.

"Every line in the deliverable has passed an internal test of 'would we ship this if asked Monday?' Lines that fail do not survive the draft."
From the JAAX methodology

Questions we get on every fit call.

AI strategy consulting decides which AI projects will pay off and how to sequence them. The output is a prioritized use-case list, a cost/ROI model per item, build-vs-buy decisions, and a six-month roadmap a board can defend. The dishonest version of the category stops there. Ours is built to be the first two weeks of a build, not a substitute for one - every recommendation we make is one we would ship if you asked us next.

Two weeks, no extensions. Day one is a kickoff and a written contract specifying the buyers, the systems, and the data we will look at. Day fourteen is the final read-out with the deliverable in your hands. We refuse longer engagements at the strategy stage - if it cannot be sliced into a 14-day sprint, it is not a strategy engagement, it is a discovery phase, and we will tell you on the fit call.

Big firms sell strategy and hand the build to a third party. The strategy and the build then drift apart. We do both, in order, because the only AI strategy worth paying for is one written by someone who has shipped enough of them to know what breaks. Our deliverable is fifteen pages and ends in a recommended next sprint, not a hundred pages and a steering committee. If you need the steering committee for procurement reasons, hire a Big Four - we are not better at that than they are.

A prioritized use-case list with one paragraph and a red/yellow/green per project. A cost/ROI model per priority item with the assumptions visible. Build-vs-buy decisions with named vendors where buying makes sense. A six-month roadmap with named owners. A short list of projects to stop funding - the projects we recommend you stop spending on. The whole thing is fifteen pages on purpose. Most strategy decks are long because the firm cannot tell which page is the one you needed.

If your deck ended in a built thing on the timeline it promised, you don't. Most engagements that go badly skip the triage step because someone above the buyer has already named the agent they want. If your existing deck named the agent and the agent is not in production, the strategy was not the problem - the build path was. The honest answer is sometimes that you do not need our strategy sprint, you need the proof-of-concept that follows it. We will tell you on the fit call.

We name vendors. The vendor-agnostic write-up is the genre of strategy work we do not do - it is a way to recommend nine tools and integrate none of them. We will tell you which model, which embeddings, which orchestration layer (the code that routes tasks between agents), which observability stack (the dashboards and alerts that show what the agent is doing), and what the migration cost looks like if you change your mind in six months. We standardize on Anthropic's Claude across the practice and reach for OpenAI, open-source, or specialized models when testing shows a better result.

Yes, mutual NDA before any technical conversation. We do not work for clients with conflicting active engagements in the same competitive set during a quarter - a rule we enforce on ourselves more strictly than most clients ask us to.

Start something

Send a paragraph. We'll come back the same day.

Tell us the three to six AI projects you're weighing and the number you want moved. We'll come back with a yes, a no, or a sharper question. No discovery deck, no pitch meeting marathon.

Book a 30-min fit call