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We find the repetitive work slowing your team down and automate it with practical AI and workflow tools, keeping people in control of important decisions.

Start a Project Ask a question Typical timeline: 4–12 weeks

  • Workflow automation

    Connect your apps and automate hand-offs, approvals, notifications and data entry between teams and systems.

  • AI assistants

    Assistants that answer questions from your own documents and data, for customers or your internal team.

  • Document processing

    Extract, check and route information from invoices, forms, contracts and emails automatically.

  • AI agents

    Multi-step agents that research, draft and complete tasks across your tools, with clear limits on what they can do.

  • Human-in-the-loop review

    Review steps where people approve, correct or reject AI output before anything important goes out.

  • Monitoring and evaluation

    Quality checks, usage tracking and cost monitoring so you can see how well each automation is performing.

What you get

Deliverables

  • Automation opportunity map ranked by value
  • Working pilot on your real data
  • Production automations and integrations
  • Review and approval screens
  • Quality and accuracy test results
  • Usage and cost dashboard
  • Team training and runbook

A good fit for

  • Operations teams buried in manual data entry
  • Support teams answering the same questions daily
  • Finance teams processing invoices and documents
  • Leaders wanting AI results, not experiments

Typical timeline: 4–12 weeks

  1. 01

    Discover

    We watch how work actually gets done, list candidate tasks and rank them by value, risk and effort.

    1–2 weeks

  2. 02

    Pilot

    We build the top-ranked automation on real data and measure accuracy and time saved against agreed criteria.

    2–4 weeks

  3. 03

    Build

    We harden the pilot for daily use, connect it to your systems and add review steps and monitoring.

    2–5 weeks

  4. 04

    Roll out

    Team training, gradual rollout and close monitoring, then we plan the next automations together.

    1 week

Every project gets a written scope and timeline before work starts.

  • Option 01

    Opportunity audit

    Timeline

    1–2 weeks

    Let's talkabout Opportunity audit

    Best for

    Teams that know AI could help but are unsure where to start or what is realistic.

    What's included

    • Workflow interviews
    • Opportunity map
    • Feasibility and risk notes
    • Recommended first pilot
  • Option 02Most common

    Pilot to production

    Timeline

    4–12 weeks

    Let's talkabout Pilot to production

    Best for

    Businesses ready to automate one high-value workflow and prove the benefit with real data.

    What's included

    • Pilot on real data
    • Production build
    • Review steps and monitoring
    • Training and handover
  • Option 03

    Automation partner

    Timeline

    Ongoing

    Let's talkabout Automation partner

    Best for

    Companies building a steady programme of automations across several teams.

    What's included

    • New automations each quarter
    • Quality and cost monitoring
    • Model and prompt updates
    • Quarterly roadmap review

  • A single automation usually goes from discovery to production in 4–12 weeks. Data quality, the number of systems involved, approval rules and security reviews have the biggest effect on timing.