AI Agents & Automation

AI solutions, agents and intelligent workflows that do real work inside your business, with evaluation, guardrails and people in control.

What changes

What this does for the business.

  1. 01

    Less repetitive work

    Agents read, classify, look things up and update records across your tools, so people spend their time on exceptions and decisions.

  2. 02

    Consistent operations

    Workflows run the moment a business event happens (a new order, ticket or invoice), the same way every time.

  3. 03

    Control you can audit

    Approval steps, permissions and logs are designed in, so you can always see what the system did and why.

Our view

AI is easy to demo and hard to run in production. We start with a process where it clearly saves time (ticket triage, document handling, lead research, reporting), build an evaluation set from your real cases, and only then choose models and architecture. Every system we ship logs its decisions, stays within agreed cost and latency budgets, and hands uncertain cases to a person.

Capabilities

What we deliver.

Usually a 2⁠–⁠4 week assessment and working prototype, then iterative delivery against the evaluation set.

  • AI solutions & LLM integration

    Search, summarisation, drafting and copilots inside the products and tools your team already uses.

  • AI agents & agentic AI

    Agents that plan, call your systems and complete multi-step work, with approvals where the stakes are high.

  • Business process automation

    Finance, sales, support and back-office processes automated end to end, with exceptions routed to people.

  • Intelligent workflow systems

    Event-driven workflows that connect your apps and move work forward without manual hand-offs.

  • Document intelligence

    Invoices, contracts and forms turned into checked, structured data in the systems you already run.

  • Knowledge assistants

    Assistants that answer from your own documents and data, and show the source of every answer.

How we deliver

What you can count on.

  • Evaluation sets built from your real cases
  • Human review where mistakes are costly
  • Agreed cost and latency budgets
  • Every step logged and traceable

Typical technology

  • OpenAI
  • Claude
  • LangChain
  • RAG
  • Hugging Face
  • Python
  • n8n
  • Zapier
  • Make
  1. Stage 01

    Understand

    We learn the business before we touch the brief.

    You receive

    • Product brief
    • Success measures
    • Risk register
  2. Stage 02

    Plan

    A plan you can hold us to.

    You receive

    • Roadmap
    • Architecture outline
    • Estimate & proposal
  3. Stage 03

    Design

    Tested on screen before it is built.

    You receive

    • Clickable prototype
    • Design system
    • UX specification
  4. Stage 04

    Build

    Working software, every week.

    You receive

    • Code in your repository
    • Weekly demos
    • Living documentation
  5. Stage 05

    Test

    Checked continuously, then once more.

    You receive

    • Test reports
    • Acceptance sign-off
    • Release checklist
  6. Stage 06

    Launch & support

    A quiet launch, then steady improvement.

    You receive

    • Production release
    • Monitoring & alerts
    • Runbooks

Solution blueprints

Blueprint
01Healthcare & clinics

Scheduling, patient records, billing and AI-drafted visit notes in one system for single- and multi-location clinics.

Blueprint
02Real estate & property

A multi-tenant platform for landlords and property managers: units, leases, rent collection, maintenance and owner reporting.

AI & Automation · Questions

Questions, answered.

Something else on your mind? An engineer replies within one business day.

Ask an engineer

We design for data protection first: providers that do not train on your data, private or regional deployments where required, redaction of personal data, and access controls that mirror your existing permissions.

Each feature gets an evaluation set built from real examples: past tickets, documents and conversations. Accuracy, safety and cost are measured on every change, so a new prompt or model is adopted because it scores better, not because it feels better.

Usually a high-volume, rule-heavy process with a clear owner, such as invoice handling, ticket triage or lead research. We rank candidates by time saved and risk in a short assessment, start with one, and expand once it is proven.

Start a project

Let’s talk about your AI & Automation project.

Tell us what you’re building and where you’re stuck. A senior engineer will reply within one business day with honest questions and a suggested first step.

What happens next

  1. 01We review your briefAn engineer reads every message and replies within one business day.
  2. 02Discovery callAbout 30–45 minutes on your goals, constraints and what a good outcome looks like.
  3. 03Written proposalScope, approach, team, timeline and an estimate. No charge and no obligation.