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Make AI useful.
Make it work.

We help you choose where AI can improve the business, then design, build and put it to work with your team.

Talk through an opportunity
The opportunity

What should change in your business?

We believe AI marks the biggest innovation period in human history. Your starting point can be much smaller: a team spending hours finding information, a customer journey that needs better support, a repetitive task that crosses several systems.
See examples of the work

Start with the work

Map the workflow, information and decisions first. Then ask where AI earns its place.

Keep people responsible

Design human judgment, handoffs and review into the work from the beginning.

How we help

Start where
you’re stuck.

Most companies we talk to are in one of three places. We can help with one step, or see it through from idea to everyday use.

We don’t know where to start.

A short list of where AI would pay off, ranked.

We talk with the people doing the work, see how it really runs, and find the few places AI would make a measurable difference. For each one, you’ll know what it takes, what it costs to run and what to test first.

We know where AI fits. We need it built.

Working software, connected to your systems.

We design and build it into the tools you already use, such as your store, CRM, help desk or data warehouse. Then we test it on real cases, including the hard ones, before anyone relies on it.

We tried AI. It didn’t stick.

A tool your team uses every day, with someone responsible for it.

We find out why: usually it’s the workflow, the data or trust in the answers. We fix that, then work alongside your team until it’s part of how the work gets done.

Our approach

From possibility
to everyday use.

Join us at the stage you need. We can help with a focused question or stay alongside your team through delivery.

01

Understand the work.

Talk with the people doing it. Map the workflow, information and decisions. Agree on what a useful improvement would look like.

Working towardA clear problem and a baseline.

02

Choose the opportunity.

Weigh business value, feasibility, information access and operating costs. Choose a focused test; identify what needs better foundations first.

Working towardPriorities and a testable brief.

03

Build. Test. Learn.

Prototype with the people who will use it. Evaluate against real examples, including failures. Decide what to improve, deliver or stop.

Working towardWorking software and evidence for the next decision.

04

Make it part of the business.

Connect systems, redesign the workflow and practice together. Establish ownership, human handoffs and a way to review quality, usage and costs.

Working towardA supported workflow your team can operate.

Don’t add AI to the old way of working — rebuild the work around the result that matters, and leave your team running it.

01 / Outcome
Start with the number that matters.
Revenue, margin, retention or customer experience. We choose the workflows that move it, not the ones that are easiest to automate.
02 / Workflow
Rebuild the workflow, not one step.
A tool added to a broken process gets you to the wrong result faster. We redesign how the work flows, then decide where AI belongs.
03 / Advantage
Keep what makes you different.
Generic AI produces generic work. We build on your data, your voice and your judgment, the things only your business has.
04 / Ownership
Your team runs it, not us.
People move from doing every task by hand to directing and checking the work. We train them, document it and hand it over.
Strategy and delivery, together

A team that sees
the whole business.

Our team connects business priorities, customer experience, design, engineering and data.

Kelly Smith’s operating background across product, technology, marketing and growth informs the work. Our multidisciplinary practitioners carry that perspective into the decisions, the build and the way people use it.

Meet Axacraft
Examples of the work

Where AI can
earn its place.

A sample of what we build, not the limits of it. Whatever part of the business it touches, the work starts with a real workflow and keeps people responsible for the result.

Illustrative examples, not client case studies.

01 / Group

Information & teams

Less time searching. Better-supported people.

Internal knowledge assistant

Answers from SOPs, policies, specs and past decisions, with sources and access controls.

Account & meeting prep

Briefs that gather CRM, email and notes before a customer, partner or vendor call.

Call & meeting follow-through

Summaries, decisions, CRM updates and owned tasks from every conversation.

Employee portal & HR assistant

One place for policies, benefits and requests, with answers and routing to the right person.

Onboarding & training

Role-specific guides, practice and answers that help new people get productive sooner.

02 / Group

Finance & performance

The numbers leadership needs, connected and explained.

E-commerce dashboards

Revenue, margin, order value and customer lifetime value across store, subscription and channel data.

Paid media performance reporting

Spend, acquisition cost and return by channel and campaign, reconciled with actual orders.

Automated performance write-ups

A weekly account of what changed in sales, acquisition or retention—and why.

Ask-your-data analytics

Plain-language questions answered from the warehouse, using agreed metric definitions.

Forecasts & scenario models

Sales, inventory and spend scenarios that make planning assumptions visible.

03 / Group

Customer experience

Faster, more relevant help at each step of the journey.

Support reply drafting

Draft answers from order data, policies and history, reviewed by an agent before sending.

Ticket triage & routing

Classify, tag and prioritize requests; escalate urgent or sensitive cases to a person.

Guided selling

Regimen and product finders built on the real catalog and approved claims.

Conversational site search

Shoppers describe what they need and find relevant products, not keyword misses.

Retention & cancellation flows

Understand why a subscriber is leaving and offer the right alternative, within clear limits.

04 / Group

Content, marketing & growth

More output and sharper targeting, held to brand and compliance standards.

Product content at scale

Product pages, attributes, translations and variants in your brand voice, reviewed by people.

Claims pre-check

Review marketing copy against approved claims before it reaches legal.

Ad creative variation

Generate and organize concept and copy variants for structured testing.

Voice-of-customer synthesis

Turn reviews, surveys, tickets and returns into themes teams can act on.

Segmentation & next best action

Use customer data signals to choose the right message, offer or outreach.

05 / Group

Operations & delivery

Repetitive work across systems, handled with clear exceptions.

Document extraction

Invoices, purchase orders, spec sheets and certificates turned into structured system data.

Catalog cleanup & enrichment

Fix attributes, taxonomy, duplicates and gaps across thousands of SKUs.

Cross-system order intake

Emailed wholesale orders validated and entered into Shopify or the ERP; exceptions go to a person.

Anomaly alerts

Spot unusual changes in conversion, inventory, fulfillment or spend and alert the owner.

AI-assisted software delivery

Coding agents, review and testing practices that help engineering teams ship safely.

Don’t see your work here? These are examples, not a menu. Bring us the question

Getting started

Bring a question.
Or a working problem.

You don’t need an AI roadmap to start. We can help define the brief.

01 / Opportunity assessment

Find the starting point.

Bring a business priority or a workflow that gets in the way. We’ll show you where AI would help and define a focused first test.

02 / System review

Assess what you have.

Bring an existing AI prototype, tool or automation. We can review its quality, costs and fit—and recommend what to change.

03 / Embedded collaboration

Build alongside us.

Bring work that needs to move forward. Combine embedded strategic guidance with design, engineering and team enablement.

Bring us
the question.

Where could AI help? What should we build? Let’s work through it together.