Sunset light flooding a high-rise conference room overlooking a city skyline.

Service

AI Solutions

AI that solves a specific problem — grounded in your real data and workflow.

The problem

What this fixes

Most businesses have heard of AI but can't tell what it would actually do for them. Generic chatbots bolted onto a site answer badly and erode trust. AI only pays off when it's pointed at a defined, measurable task.

If any of this sounds familiar, this is the right capability to lean on — but it's almost never the whole answer on its own.

What we do

What's included

  • Identifying where AI genuinely helps vs. where it's hype
  • AI assistants trained on your real content and policies
  • Document processing — extract, summarise, route
  • Customer-facing assistants with safe escalation to humans
  • Internal copilots that draft and retrieve for your team
  • Guardrails, evaluation and monitoring, not just a demo

Where it fits

Common use cases

  • Answering repetitive customer questions instantly, 24/7
  • Extracting data from documents instead of retyping it
  • Drafting first-pass responses for your team to review
  • Summarising long threads or reports into actionable points

Who it's for

Is this you?

  • Teams drowning in repetitive questions or documents
  • Businesses that want AI to assist staff, not replace judgement
  • Companies wary of AI risk who want it done responsibly

How we work

A clear path before you build

Every engagement starts by understanding the problem before any code. We map the issue, agree the smallest set of work that solves it, and build in stages with something working to react to — then ship, document, and hand over. See our process.

Illustrative scenario

What this looks like in practice

An illustrative scenario for this capability — clearly labelled, not a real client engagement. It shows the kind of problem we'd take on and how we'd approach it.

Representative engagement

An AI assistant grounded in policy docs for front-line staff

A scoped, guarded AI assistant that answers repetitive internal questions from real policy content.

Staff get instant, grounded answers to routine questions, and senior time is freed for judgement calls — with a safe escalation path when the assistant isn't certain. (Representative engagement — illustrative, not a real client result.)

  • TypeScript
  • Supabase
  • PostgreSQL
  • Node.js

In their words

A perspective on this work

An illustrative voice — not a real, identifiable endorsement.

I was wary of AI answering anything customer-facing. They scoped it to what it could answer reliably from our own content, with a clean hand-off to a human when unsure. It helps the team — it doesn't pretend to be them.
Ngozi Customer Support Manager

FAQ

Frequently asked questions

Will the AI give wrong answers to my customers?

We scope it to what it can answer reliably from your content, with guardrails and clear hand-off to a human when unsure. We test it on real queries before it goes live.

Do you train models from scratch?

No. We use capable existing models and ground them in your data and rules. Custom model training is rarely the right investment for the problems most businesses have.

Is my data used to train public models?

We configure providers to avoid using your data for training where that option exists, and we'll explain the trade-offs of each choice. Sensitive data handling is scoped carefully.

Tell us what's slowing your business down.

Tell us the problem. We'll design and build the digital solution that fixes it — and quote the work honestly before we start.