AI Feature Strategy · Design & Build · AI-Native Products

Your users expect AI. Your roadmap isn't ready.

We design and ship AI features that improve your product — not demos that never make it past staging into the hands of real users.

Fixed-price delivery · From strategy to shipped feature

Jake McMahon
Jake McMahon
Founder, ProductQuant · LinkedIn

Three Ways to Work Together

AI Opportunity Audit $7,997
AI Feature Build Sprint $35K–$65K
AI-Native Product Build Scoped
Audit-First

Every engagement starts with knowing which AI feature to build. The wrong feature wastes a quarter of engineering time. The right one becomes your competitive moat.

Fixed-Price Delivery

Scoped, built, and shipped at a fixed price. You know the cost before we start. No scope creep, no retainer, no billing surprises at the end of a quarter.

Free Scoping Call

A free 20-minute call. Tell us what you're trying to build. We'll tell you if it's the right feature to build first and what it would take to ship it.

Book now — no pitch, no commitment →

The roadmap has AI on it. Nothing has shipped.

Most software companies at this stage have the same four blockers. Not because the team can't build AI — because nobody owns the feature end-to-end.

"AI features keep getting deprioritised — bumped by bugs, scope creep, and other releases."

It's not that your team can't build it. Nobody owns the spec, the strategy, or the delivery. The feature lives in a comment thread and a roadmap row that hasn't moved in two quarters.

"You know AI belongs in your product. You don't know which feature to build first."

The wrong AI feature wastes a quarter of engineering time and ships to a lukewarm response. The right one becomes your competitive moat. An AI Opportunity Audit tells you which is which — before you build anything.

"Competitors are shipping AI features. Your team is still scoping."

Six months from now the gap is wider and your users are comparing you to products that already have the feature. We compress the time from "we should build this" to "this is live."

"Your team added an LLM. The result isn't a product feature — it's a chat box."

A real AI feature has a designed experience, a feedback loop that makes it better, and data architecture that doesn't break at scale. Slapping a GPT API on a form isn't a feature. We build the thing that ships and stays.

Start with the audit. Ship with the sprint. Build native.

Most clients start with the AI Opportunity Audit. It tells them exactly what to build — and whether a sprint or a full product build is the right next step.

STRATEGY · 2 weeks

AI Opportunity Audit

$7,997

We audit your product, user behaviour, roadmap, and competitors. You get a prioritised shortlist of AI features ranked by user impact, build effort, and competitive value.


  • 5–8 prioritised AI feature opportunities
  • For each: user problem, data requirements, technical approach, build complexity
  • One clear recommendation on where to start
  • 90-minute readout with your product and engineering leads

You walk into the next planning session with a decision — not a debate.

FULL PRODUCT · 12–24 weeks

AI-Native Product Build

Scoped

For founders building a product where the intelligence is the product — not a feature added after launch. We design the experience, architect the AI layer, build, and launch.


Right for you if

  • You have a validated problem and want to build the AI-first solution
  • You're spinning a new product out of an existing business
  • You need a technical co-builder, not just a development shop

A product built around the AI — not one where AI was bolted on after the fact.

Most AI shops sell you a wrapper around an LLM. That's not a product feature.

A real AI feature has a designed user experience. A feedback loop that makes it better over time. Data architecture that doesn't break when usage scales. Error states that don't embarrass you in front of paying customers.

We've shipped enough of these to know what separates a feature users actually use from one buried in the settings menu six months after launch.

The AI features that move retention and conversion.

Not every AI feature belongs in every product. These are the six types that consistently drive measurable user behaviour change — the ones worth building first.

Intelligent Search

Users find what they need without knowing exactly what to type. Search that understands intent — not just keywords.

Recommendation Engines

Surface the next best action, content, or product based on behaviour. The right suggestion at the right moment in the user flow.

In-Product Copilots

Let users do in seconds what used to take minutes. Copilots that work inside your product's existing context — not a separate chat window bolted on.

Document Intelligence

Extract, classify, and act on unstructured data from user uploads. Turn documents into decisions without manual review.

Predictive Scoring

Churn risk, conversion likelihood, LTV — built into your product flow. CS and sales act before the signals become visible in a dashboard.

Dynamic Personalisation

Interfaces, messaging, and content that adapt to each user based on their behaviour, role, and stage. Every user sees what's most relevant to them.

From audit to shipped.

01

Audit — 2 weeks

We review your product, user data, and roadmap. You get a prioritised AI feature shortlist with build specs. Decision-ready in 2 weeks — before you've committed to a build.

02

Spec — before a line of code is written

User journey, data inputs and outputs, model architecture, edge cases, success metrics. Engineering can start a sprint directly from this document — no translation layer needed.

03

Build — integrated into your actual stack

We build and integrate the feature against your existing product. Regular milestone reviews with your team. Full test coverage before any handover happens.

04

Ship — deployed, monitored, documented

Live in production. Feedback loop defined so the feature improves with usage. Full documentation handed over so your team owns it from day one.

We work best with a specific type of company.

Good fit

  • You're a software company with a defined user base and at least one AI feature on your roadmap
  • You want to ship something in weeks, not quarters
  • Engineering can maintain what we build — you need the first version designed and built
  • You want a fixed price, not an open-ended engagement
  • You're ready to start with the audit before committing to a build

Not the right fit

  • You want to "explore AI" with no defined user problem in mind
  • You need staff augmentation — people filling Jira tickets
  • Your product isn't live yet and the core problem isn't validated
  • You're looking for the cheapest way to add a ChatGPT box
  • You need enterprise procurement and 90-day contract cycles

Start with the scoping call.

20 minutes. Tell us what you're trying to build. We'll tell you whether it's the right feature to build first, what it would take, and whether we're the right team for it.

No pitch. No questionnaire. Just a clear answer on what to build and whether it makes sense right now.