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AI Development

Most AI projects fail for the same reason: they automate a task nobody minded doing. We start with the work that genuinely costs you hours every week, then build the smallest system that removes it.

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What is included

Use case assessment

Which jobs are worth automating, and which honestly are not

Custom AI agents

Multi-step workflows wired into the systems you already run

Retrieval over your documents

Answers grounded in your own material, not guesswork

Integration

CRM, helpdesk, calendar and internal tools

Evaluation and guardrails

Accuracy tested before it ever faces a customer

Handover

Documented, with the prompts and configuration yours to keep

How we build an AI system that survives contact with reality

Most AI projects fail because they automate a task nobody minded doing. This is the order we work in to avoid that.

01 — Assess

We start with what genuinely costs you hours

Before anything is built we go through the work week and separate the jobs that cost real time from the ones that merely look automatable. Some of what you ask about will come back as honestly not worth it.

  • Which jobs are worth automating, and which are not
  • The smallest system that removes the work
  • A written scope with a number and a date
Circuit board patterned as a neural network

02 — Build and ground

Agents wired into the systems you already run

Multi-step agents that do the work rather than describe it, with answers grounded in your own documents instead of general knowledge, and connected to the CRM, helpdesk and calendar you already use.

  • Multi-step workflows, not a chat window bolted on
  • Retrieval over your own material
  • Integrated with CRM, helpdesk, calendar and internal tools
AI lettering set into a dark circuit board

03 — Test and hand over

Accuracy proven before a customer ever sees it

We test against real examples and agree the guardrails: what it may handle and what must reach a person. Then it is documented and handed over, with the prompts and configuration yours to keep.

  • Evaluated against real cases before launch
  • Agreed limits on what it may do unsupervised
  • Prompts, configuration and accounts are yours
Model reasoning mapped over a circuit board

What we build

Circuit board patterned as a neural network
AI lettering set into a dark circuit board
Model reasoning mapped over a circuit board

How We Work

  1. Discover

    We map the goal, the audience and the constraints before proposing anything.

  2. Design

    Structure first, surface second. You approve each stage before we move on.

  3. Build

    Built in the open, with a staging link you can check any day of the week.

  4. Launch

    Tested, documented, handed over, and supported for 30 days.

Stories of Impact

We came to them mid-replatform with a store that was losing customers at checkout. They rebuilt the funnel, wired the tax and shipping properly, and stayed on after launch until the numbers settled. The scope they quoted is the scope we paid.
av-dm-1 Ecommerce Replatform — Regional Retail Group
We had a logo that worked on a laptop and nowhere else. They delivered the full mark family, every file format we needed, and a guidelines document our printer actually understood. Nobody has asked us for an EPS since.
av-hk-1 Brand Identity System — B2B Software Company
The site our marketing team can finally update without a developer. Every section is editable, the page speed held up under our launch traffic, and the handover included training rather than a folder of files.
av-mr-1 Website Rebuild — Healthcare Services Provider
They started with an audit that told us uncomfortable things, then fixed them in priority order rather than selling us a retainer. The reporting is in plain English, and they say so when something is not worth doing.
av-tl-1 SEO & Content Program — Professional Services Firm

Serious Digital Work, Without the Agency Theatre

Senior People Only

The people who pitch are the people who build. No junior hand-off.

Fixed Scope, Fixed Price

A written scope with a number and a date, agreed before we start.

Built to Scale

Systems that hold up when your traffic and your team grow.

US Time Zones

Real overlap with your working day, coast to coast.

Own Everything

Full IP transfer on final payment. Your code, your accounts, your data.

Serious Digital Work, Without the Agency Theatre

Frequently Asked Questions

A single-purpose AI agent for a small business typically costs $8,000 to $30,000 to build, with running costs of roughly $40 to $700 a month. Agents that work across several systems cost more.

Common uses are qualifying leads, answering routine customer questions, booking appointments, extracting data from documents, and updating a CRM after calls.

It can, which is why agents are grounded in your own information, limited to defined tasks, and set up to hand uncertain cases, or anything involving money, to a person.

It should not be. Business AI services usually offer settings that exclude your data from model training, and those settings, and where your data is processed, are confirmed before any build starts.

Let's Talk.

Tell us what you are building. We come back within one business day with a plan, a timeline and a number.

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