AI Integration · Custom Build

AI Integrations

You already have systems. We connect AI to them — so it can read your data, act on it, and become part of how your business actually runs. Not something you log into separately.

The Gap

AI tools and your business are still in separate worlds

Integration isn't about adding another tool. It's about removing the person who currently carries data between them.

Today

You are the integration

Every useful answer costs you a round trip. You pull data from your CRM, paste it in, get output, paste it back. You summarise your own email for a chatbot. You export a spreadsheet to get insight from it.

  • Context re-entered by hand, every time
  • Answers limited to what you remembered to paste
  • Nothing runs unless someone starts it
  • The work scales only by adding people
Connected

AI reads your systems directly

Your customer records, order history, communications, and internal documentation are available to it — so it answers from real data, triggers actions in real tools, and keeps working when you're not watching.

  • Questions answered against live records
  • Actions taken in the systems you already run
  • Workflows that run in the background
  • Capacity that doesn't require more headcount
The Process

From your systems to AI that runs inside them

01 Systems Discovery

Map what you're actually running

We start by mapping what you're actually running — not what you think you're running. What tools, what data sources, what workflows, where the real friction lives. This is a working session, not a questionnaire.

In this step
  • Tool audit
  • Data mapping
  • Workflow review
  • Friction points
02 Integration Mapping

Find where AI plugs in — and where it doesn't

We identify exactly where AI plugs in and what it does at each connection point. Not every system is worth connecting — we prioritize by impact: where does AI reading this data actually change how your business operates? You get a specific plan, not a capability list.

In this step
  • Priority ranking
  • Connection design
  • Impact assessment
03 Build the Connections

Custom-built for your systems

Custom MCP servers, API integrations, automated workflows, and AI agents — built specifically for your systems. We don't adapt off-the-shelf templates; we build from what you're running, so the integration fits how your data is structured and how your team operates.

In this step
  • MCP servers
  • API connections
  • Custom agents
  • Automations
04 Handover & Adoption

You leave able to run what we built

A finished integration that nobody uses is expensive shelf-ware, so we don't stop at "it works." We walk the people who will use it through the delivered system: what it connects to, what it can and can't do, how to read its output, who to call when it breaks, and how to change it later.

This is handover on one specific system — not a curriculum. If you want your team taught to use AI well across their whole job, that's AI Training, and it can run before, after, or without this build.

In this step
  • Walkthrough of the built system
  • Operating documentation
  • Access and permissions
  • Support and escalation path
05 Tune & Expand

Integrations compound

Once the first integrations are live, we monitor performance, tune what needs adjusting, and identify the next highest-leverage connection. The more context AI has, the more useful each subsequent connection becomes — so we stay involved to help you expand deliberately.

In this step
  • Performance review
  • Iteration
  • Expansion planning
What Changes

What becomes possible once your systems are connected

Outcome

Nobody exports data to ask a question

The weekly "can someone pull the numbers" request disappears. Whoever needs the answer asks in plain English and gets it from the live record, not last month's spreadsheet.

Outcome

The status update writes itself

Pipeline reviews, project stand-ups, and client check-ins start from a draft assembled off real activity, so the meeting is spent deciding rather than reconstructing what happened.

Outcome

Problems surface before someone notices

Stalled deals, unusual spend, orders stuck mid-fulfilment, a project with no movement in two weeks — flagged when they happen instead of at month end.

Outcome

Routine work completes without a human relay

The steps that exist only to move information between two systems stop needing a person. A conversation becomes a task; an order becomes a ledger entry.

Outcome

Institutional knowledge is answerable

What your business already documented — procedures, past decisions, contracts, support history — becomes something anyone can query instead of something two people remember.

Outcome

The odd system stops being excluded

Industry-specific software, an internal tool built years ago, a proprietary platform with no integrations market. If it exposes an interface, it joins the rest.

Getting Started

You don't need to know which system to start with

If you have a specific system in mind, we'll start there. If you're not sure where AI plugs in most usefully, the free assessment is built to answer exactly that — your current setup, the highest-leverage integration points, and what a realistic first engagement looks like. Scoped to your business, not a generic roadmap.