Custom AI engineering

Connect the service request to the work in the field.

Office and field teams need the same view of each service job. NovAIFlow builds AI-assisted workflows that connect request intake, dispatch, technician activity and billing, with explicit handling of changes and exceptions.

Discuss your project

For businesses in Florida and across the US · English & Spanish

Where this can help your operation

  1. Service requests arrive through several channels

    Collect the issue, customer and equipment details in a consistent record. An assistant can identify missing information and suggest routing according to the service rules your team defines.

  2. Dispatch loses time collecting updates

    Connect work orders, assignment changes and technician reports. Make blocked jobs and incomplete steps visible so dispatchers can decide what needs attention.

  3. Completed work waits for billing information

    Carry approved job details, parts and service evidence into the billing workflow. Flag missing approvals or conflicting records before they become invoice corrections.

Connected to your existing systems

We assess ticketing, work-order management, customer and equipment records, communications and accounting. Dispatch rules, technician permissions and the quality of field connectivity shape the implementation.

A practical starting point

Begin with one request type or service team. Test routine assignments, rescheduling, missing parts and unavailable technicians. Define what an agent may update, when a dispatcher approves a change and how failures are recovered.

Measures to agree before implementation

  • Time from request intake to an actionable work order
  • Jobs waiting for a status update or approval
  • Completed jobs with enough information to prepare billing

Questions before starting

Can agents assign technicians automatically?

They can support or execute agreed dispatch actions within a defined scope. Skill requirements, availability and approval rules determine which assignments need a dispatcher.

Can office and field teams keep their existing tools?

We review the integration options first. Where a tool cannot exchange the necessary information, we identify that limitation and agree a practical alternative.

What happens when an integration fails?

The workflow should expose failed actions, retain the relevant job context and give an owner a clear recovery path. Retry and escalation behavior are part of the implementation scope.

Let's talk

Tell us what needs to work better.

We start with the business challenge, then define the right combination of AI, integration and software. Your first message can include:

  • The process you want to improve and the team responsible.
  • The systems involved and the most frequent delay or exception.
  • The outcome you need and any timing constraints.
Discuss your project by email

This link opens your email app. You can also write directly to hello@novaiflow.com.

Led by Luis Monsalve, an applied AI engineer in Miami. Projects in English and Spanish for businesses in Florida and across the US.