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Reference architectures.

How we design AI systems for real operations. Each is a reference architecture: a design pattern for a system of its kind, not a client project. Case studies appear here only once verified.

Three systems, end to end.

  • Reference architectureA design pattern for a system of this kind, not a client project.

    Sales workforce

    AI employees that answer every inbound lead, qualify it against your criteria, book meetings and keep the CRM current, with a person approving every offer.

    1. 01Lead arrives
    2. 02Qualify the lead
    3. 03Update the CRM
    4. 04Approve the offer
    5. 05Meeting booked
    The problem
    Leads arrive on the website, on WhatsApp and by email at all hours. Replies are slow outside working hours, qualification depends on who answers, and the CRM falls behind what the team actually said.
    Intended outcome
    Every lead gets a reply and a next step, the CRM reflects every conversation, and salespeople spend their time on the conversations that need them.
    Read the architecture: Sales workforce
  • Reference architectureA design pattern for a system of this kind, not a client project.

    Voice front desk

    An AI voice agent that answers calls, understands what the caller needs, books or logs it, and hands anything urgent to a person.

    1. 01Call answered
    2. 02Understand the request
    3. 03Routine or urgent?
    4. 04Urgent calls go to a person
    5. 05Outcome recorded
    The problem
    Calls go unanswered at busy times and after hours. Callers repeat themselves when they are transferred, and what was agreed on the phone rarely reaches the system it belongs in.
    Intended outcome
    Every call is answered, routine requests are completed during the call, urgent ones reach a person with context, and each call leaves a record in the right system.
    Read the architecture: Voice front desk
  • Reference architectureA design pattern for a system of this kind, not a client project.

    Maintenance operations

    AI that triages equipment alerts and maintenance requests, prepares work orders from the right history and procedures, and waits for a person's sign-off wherever safety is involved.

    1. 01Alert or request
    2. 02Triage by severity
    3. 03Check the history
    4. 04Safety sign-off
    5. 05Work order issued
    The problem
    Alerts and requests arrive from sensors, technicians and tenants in different forms. Triage depends on who is on shift, history is scattered across manuals and past work orders, and handovers lose context.
    Intended outcome
    Faults reach the right crew sooner with the context they need, safety-critical work always passes a supervisor, and each shift starts with a clear picture of open work.
    Read the architecture: Maintenance operations
Inside your controlsPermissions, approvals, an activity record and escalation are designed into every system we build.How we design for trust
Connected to your systemsCRM, ERP, messaging, documents, calendars, data and your own APIs: each connection gives AI a specific job.See how it connects

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