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Case studies

How we design AI systems, in detail.

Each breakdown shows the business problem, the workflow we designed, the stack behind it and the outcome it targets.

All case studies

Transparency note: projects labelled Concept, Demo or Example Workflow are illustrative builds showing how we'd solve a problem. They are not client engagements, and their figures are design targets rather than measured results.

  • Concept Case StudyReal Estate
    1. Portal enquiry
    2. AI qualifies
    3. HubSpot updated
    4. Viewing offered

    AI Lead Qualification System

    Problem
    Sales representatives were manually qualifying incoming leads from portals, the website and WhatsApp, often hours after the enquiry arrived.
    Solution
    An AI agent automatically classifies each lead, asks qualifying questions, updates the CRM and triggers personalised follow ups and viewing offers.
    Time saved
    Target: 15+ hrs / week
    Response time
    Target: under 1 minute
    Workflow automated
    Lead intake → qualification → booking
    Read the breakdown
  • Demo ProjectHealthcare
    1. Patient calls
    2. Voice AI
    3. Checks schedule
    4. Books slot

    24/7 AI Receptionist for a Clinic

    Problem
    Front desk staff were overwhelmed by phone calls for bookings and simple questions, and after hours calls went to voicemail.
    Solution
    A voice AI agent answers calls, checks live availability, books appointments, sends SMS confirmations and escalates anything clinical to staff.
    Time saved
    Target: 20 hrs / week of calls
    Response time
    Instant, 24/7
    Workflow automated
    Booking, rescheduling, reminders
    Read the breakdown
  • Example WorkflowEcommerce
    1. Customer message
    2. Verify
    3. Shopify lookup
    4. Answer

    Ecommerce Support Automation

    Problem
    Most support tickets were repetitive 'where is my order?' and returns questions, creating backlogs during peak season.
    Solution
    An AI agent verifies the customer, retrieves order data from Shopify, shares tracking, starts eligible returns and escalates edge cases with context.
    Time saved
    Target: 50% fewer manual tickets
    Response time
    Target: under 30 seconds
    Workflow automated
    Order status, returns, FAQs
    Read the breakdown
  • Concept Case StudyFinancial Services
    1. Invoice email
    2. AI extract
    3. PO match
    4. Slack approval

    Invoice Processing Automation

    Problem
    The finance team manually retyped supplier invoices into the accounting system and chased approvals by email.
    Solution
    Invoices arriving by email are parsed by AI, validated against purchase orders, sent for one click approval in Slack and posted to Xero.
    Time saved
    Target: 10+ hrs / week
    Response time
    Same day approvals
    Workflow automated
    Extraction → approval → posting
    Read the breakdown