AI that saves real hours, backed by research

We help small and mid-sized businesses find where AI genuinely helps, prove it on their own data, and roll it out safely. No hype, no lock-in.

What we build

Six ways AI can help your business

Each starts small and is measured against a clear goal, like hours saved per week or faster response times.

Research

AI strategy & research

We study your workflows, review available AI models and tools, and rank opportunities by time saved, cost and risk.

Assistants

Custom AI assistants

Secure chat assistants that answer staff or customer questions from your own documents, policies and product data.

Agents

AI agents & workflow automation

Multi-step automations that triage email, prepare reports or update systems, with people approving the important steps.

Document AI

Document & data extraction

Read invoices, forms, contracts and emails, and push clean, structured data into your accounting or CRM system.

Analytics

Forecasting & insights

Predict demand, spot unusual transactions, and ask questions of your business data in plain English.

Governance

Responsible AI & security

Usage policies, access controls, audit logs and accuracy testing, so AI is safe to use with real customer data.

Research-first approach

From idea to working AI in four stages

You decide at the end of each stage whether to continue, so you never pay for a build that won't deliver.

  1. Weeks 1–2

    Research

    Interview your team, map workflows, review data and compare AI models and tools for each use case.

  2. Weeks 3–4

    Prototype

    Build a working prototype on a sample of your own data and test it against real examples.

  3. Weeks 5–8

    Pilot

    A small group uses it for real work while we measure accuracy, cost per task and hours saved.

  4. Week 9 onward

    Scale

    Roll out to the wider team with training, security reviews and ongoing monitoring.

Free · 1 minute

How ready is your business for AI?

Answer six quick questions to see where you are and what a sensible first step looks like. Nothing is sent anywhere; your answers stay in your browser.

Want a deeper review? Our two-week research sprint gives you a ranked list of AI opportunities, estimated savings and a fixed quote for a pilot.

Ask about a research sprint

Do you have a repetitive task that takes someone more than five hours a week?

Is the information for that task stored digitally (email, PDFs, spreadsheets, a database)?

Do you use cloud tools like Microsoft 365 or Google Workspace?

Could you clearly explain what a "good" result looks like for that task?

Is there someone on your team who could own an AI pilot for a few hours a week?

Do you have rules for what company or customer data staff can paste into AI tools?

Stage 1 · Explore
Start with a research sprint

Begin with a two-week AI research sprint.

AI tools & platforms

The AI toolkit we work with

We stay vendor-neutral and test options against your real tasks, so you get the best fit for accuracy, privacy and cost.

Language models

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral

Enterprise AI platforms

  • Azure OpenAI
  • Amazon Bedrock
  • Google Vertex AI
  • Microsoft Copilot

Frameworks

  • LangChain
  • LlamaIndex
  • Hugging Face
  • PyTorch

Data & search

  • PostgreSQL + pgvector
  • Pinecone
  • Elasticsearch
  • Snowflake

Automation

  • Power Automate
  • n8n
  • Zapier
  • Make

Testing & monitoring

  • LangSmith
  • MLflow
  • Weights & Biases
  • Custom eval suites
Questions

AI questions we hear most

Is our data safe if we use AI?

Yes, when it's set up properly. We use business-grade AI services that don't train on your data, keep information inside your own cloud account where possible, and add access controls and audit logs. We'll explain exactly where your data goes before anything is built.

Which AI model do you use?

It depends on the task. We test several (for example models from OpenAI, Anthropic, Google and open-source options like Llama) against your real examples, then recommend the one with the best balance of accuracy, speed and cost.

Do we need a lot of data to get started?

Usually not. Many useful AI tools work with the documents and emails you already have. The research sprint tells you whether your data is ready and what, if anything, needs cleaning up.

How much does an AI project cost?

Research sprints and pilots are fixed-price, so you know the cost before you start. We also estimate running costs per task, so you can compare them with the hours saved.

Will AI replace our staff?

Our goal is to remove repetitive work so your team can spend time on customers and higher-value tasks. We design tools with people reviewing important decisions.

Free 30-minute call

Find out where AI fits your business

Book a free call. We'll talk through your workflows and tell you honestly whether AI is worth it yet.

Book a free call or email [email protected]