00 // Custom Development

    AI agent development engineered, not prompted.

    Most “AI agents” are a single prompt hoping for the best. They demo well and fail quietly — in front of a customer, at the moment the conversation goes off script.

    The question that matters isn't whether an agent can answer. It's what happens on the answer it shouldn't have given.

    01 // How we do it

    Ours are engineered.

    Multi-node systems where intent, data lookup, response, and escalation are separate, testable stages with guardrails at each step. 50,000+ customer calls in production.

    The numbers are computed and the words are reviewed. Every system launches in full-review mode, moves to spot-checks when it earns trust, and extends only where you decide it should.

    • Intent recognition as its own stage, testable in isolation
    • Data lookup against your systems of record — not a model's memory
    • Response generation with guardrails scoped to defined actions
    • Human escalation paths built in from the first day, not bolted on
    • Every conversation logged: transcript, summary, intent, and status
    • A flag-and-improve loop — mark what went wrong and the system comes back sharper

    02 // Proof

    A six-location automotive service group was losing overflow calls to voicemail. Now 30% of those calls become booked appointments — after-hours coverage, without after-hours staffing.

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