Applied AI for the hours between the call and the truck.

• The schedule lives in one person’s head

  A single dispatcher knows which tech can handle the unit, who is closest, and which truck has the part. When they take a day off, the whole board degrades.

• Windshield time is the real cost

  Techs drive to jobs they can’t finish because nobody confirmed the part, the access, or the scope up front. The second trip costs more than the first one earned.

• The paperwork happens at 9pm

  Jobs get closed from the truck or the couch, hours after the work. Photos go missing, notes turn thin, and invoicing waits on all of it.

• Field data never makes it back

  Telemetry, photos, and tech notes pile up across three systems. Nobody reads them, so the same asset fails the same way next quarter.

• Inbound call triage

  Answers the service call, qualifies the job against past work orders and equipment history, and books it into the right window with the right skills.

  Phone → work orders → scheduling

• Dispatch planning

  Reads the new work order, matches a crew on skills, location, and availability, stages materials from the nearest depot, and issues the order before the PM opens their laptop.

  Work orders → scheduling → inventory

• First-visit completion checks

  Before the truck rolls, confirms the part is on it, the site is accessible, and the scope matches what the customer described. Reschedules rather than wasting the trip.

  Work orders → inventory → customer record

• Job close-out from field notes

  Turns a tech’s voice note and photos into a complete close-out: parts used, labor, warranty status, and the invoice draft, filed the same hour the work finished.

  Mobile app → FSM → billing

• Asset failure patterns

  Reads telemetry and service history across the fleet, finds the assets trending toward failure, and schedules the visit before the emergency call comes in.

  Telemetry → service history → scheduling

• Voice agents

  Inbound service calls answered, qualified, and booked while the customer is still on the line.

  The phone becomes a channel AI can answer, qualify, and act on while the caller is still on the line.

• Multimodal AI

  A tech’s voice note and photos become a complete close-out and an invoice draft.

  Documents, images, and forms become structured data without anyone keying them in.

• Agentic workflows

  Dispatch planned end to end; the dispatcher approves or overrides instead of building the board.

  Multi-step processes run end to end. People approve the exceptions instead of doing every step.

• Reasoning systems

  Parts compatibility, warranty terms, and site access checked before the truck rolls.

  Models work through policy, rules, and edge cases, and show how they reached the answer.

1. 01Advise

   Ride along and time it

   We follow the job from call to close and measure the gaps: time to dispatch, first-visit completion, and how often a second trip was avoidable. That ranking decides what gets built.

2. 02Engineer

   Into the FSM you already run

   We write to your field service platform, your inventory, and the mobile app techs carry, grounded in equipment history, parts compatibility, and warranty terms.

3. 03Operate

   Tuned against the board

   We watch acceptance rate, first-visit completion, and time to dispatch after go-live, and tune against them. If a number doesn’t move, we say so and change the approach.

Other industries

• Healthcare
• Financial Services
• Ed Tech
• Private Equity