Two weeks. Use-case triage, six-month roadmap, build-vs-buy decisions, kill list. The deliverable is fifteen pages, not a hundred.
/ AI Consulting Services /
AI consulting, by people who ship.
Most AI consulting engagements end in a deck and a thank-you note. Ours end in production. Two founders, no junior layer, fourteen-day sprints, and a live AI product on Shopify we run ourselves as the proof.
Most AI strategies end in a deck. Ours ends in production.
Most consulting firms
Hundred-page decks delivered by analysts you'll never see again
Multi-quarter discovery phases that expand to fill the calendar
Vendor-agnostic write-ups that recommend nine tools and integrate none
Strategy and build are separate teams - they drift apart from page one
Steering committees and procurement delays instead of shipping
JAAX Labs
Same two people who write the strategy ship the code
Two weeks, no extensions. Kickoff to production, no exceptions.
Named vendors, named models, named migration costs - not categories
One agent live in your stack inside fourteen days
Production hardening from week one, not a phase-gate review
Four steps. Same shape every engagement.
Step 1
Use-case triage
Which AI projects actually pay off. We kill the ones that don't before you spend on them. We score each project on four criteria: data availability, integration cost, signal quality, and metric ownership. Output: reds, yellows, greens.
Step 2
Minimum viable AI
Ship the smallest useful thing first. The eval (automated test suite that scores model output) is the spec. We write 20–40 hand-rated examples before a single prompt. Production from week one, even if production means three users behind a feature flag.
Step 3
Production hardening
MLOps (the operations layer that keeps the agent running reliably in production), monitoring, cost controls, drift detection (alerts when the agent's answers start degrading). The dashboard ships before the agent is interesting - if the buyer cannot see the number move, the value did not happen. Every agent ships with instrumentation or it doesn't ship.
Step 4
Team enablement
Leave you self-sufficient. Runbooks, evals, training, the README every junior engineer should read on day one. Success is whether the system runs without us when you do.
/ What you get /
One agent in production inside fourteen days.
Not a deck. Not a pilot. One agent live in your stack with a dashboard, runbook, and metric your team owns.
Book a fit call →AI Consulting Engagement · JAAX Labs
AI Consulting Engagement - Deliverables
01
One agent live in production
Running on your data, in your environment, against your real users. With a dashboard your buyer can read.
02
Eval harness and golden set
20–40 hand-rated examples, the rubric, and the test suite your team will maintain.
03
MLOps and monitoring stack
Cost controls, drift detection, refusal-rate alerts, the instrumentation that tells you if it's working.
04
Runbook and team enablement
The README, the training, the onboarding your engineers need to own it without us.
05
Recommended next sprint
Costed and scoped - the second agent, or the scale-up from one to a portfolio.
/ Engagements & pricing /
Four shapes. Ranges from $25k to $150k+.
We publish ranges because we hate the call where you ask the price and three weeks of email-tag begin. The range you fall into is set by integration surface (how many systems we need to connect to), data sensitivity, and whether the agent talks to a human as well as a system.
Fourteen days to one agent live in your stack. Eval harness, dashboard, runbook included. Refundable if it doesn't ship.
Six to twelve weeks. Multi-agent systems, MLOps, monitoring, integration into your CRM/ops/support stack. We stay until you don't need us.
Founders embedded with your team. Architecture decisions, code review, eval design, hiring help. Quoted by scope.
/ How we know this works - Sentinel /
We run Sentinel. We'll run yours the same way.
Sentinel is JAAX's live Shopify analytics product with paying merchants. The methodology you see here is the methodology that ships the product. Every habit on this page was earned shipping it, not theorized for a deck.
See Sentinel
12
agents shipped in 90 days
92%
renewal rate across engagements
14d
typical sprint, no extensions
2
founders, no junior layer
/ Who this is for /
For Series A teams and mid-market operators who want production, not a deck.
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
We work with three buyer profiles. Series A startups whose founder is the buyer. Mid-market companies whose head of data has just been handed AI as a portfolio. Fortune 1000 divisions that have given up on the global AI office and want to ship one thing well in their own P&L. The work is the same; the procurement is different.
If you need a hundred-page deck, a vendor-agnostic write-up, or an AI center of excellence with a steering committee - call a Big Four firm. We're not better at that than they are, and we'll tell you so on the fit call.
"If the value is invisible by default, you have not finished the project. Build the dashboard, or build a different agent."
From the JAAX methodology
Questions we get on every fit call.
Consulting decides which AI projects pay off and how to sequence them. Development ships the chosen ones. We do both, in that order, and we will not do the second without the first. Most engagements that go badly skip the triage step because someone above the buyer has already named the agent they want. We push back on that - politely the first time, less politely if it's killing the budget.
A strategy sprint is two weeks, no extensions. A proof-of-concept is fourteen days from kickoff to live. A full implementation is six to twelve weeks depending on integration surface. We refuse engagements that don't fit a 14-day sprint at the unit level - if the work cannot be sliced into 14-day deliverables, we have not finished scoping it.
Strategy sprints run $25–45k. Production proofs-of-concept run $50–150k. Full implementations start at $150k and scale with integration depth. Embedded team augmentation is a monthly retainer. We publish ranges because we hate the call where you ask the price and three weeks of email-tag begin.
Both. The work is the same; the procurement is different. We've shipped for Series A startups and for divisions inside Fortune 1000s. The constraint is not company size - it is whether the buyer can name a number they want moved and a person who owns it.
If you need a hundred-page strategy deck and a steering committee, hire a Big Four. If you need an agent in production by the end of the month, hire us. The two-person constraint is the feature. There is no junior layer to brief. The people writing the code are the people on your kickoff call.
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.
We standardize on Anthropic's Claude across the consulting practice and reach for OpenAI, open-source, or specialized models when the eval says we should. Tooling is boring on purpose: TypeScript, Python where it earns it, Cloudflare and AWS, Postgres, the LLM SDKs directly. We don't use whatever is trending unless it is genuinely better than what is working.
Traditional firms sell the strategy and hand the build to a third party. The strategy and the build then drift apart. We do both because the only way to write an AI strategy worth paying for is to have shipped enough of them to know what breaks. We run Sentinel - a live Shopify analytics product with paying merchants - for the same reason.
Send a paragraph. We'll come back the same day.
Tell us what you want shipped 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