Custom AI engineering

Connect quoting, production and delivery with AI.

A customer request becomes a quote, a work order and a sequence of production decisions. NovAIFlow connects those steps so your office and workshop can share job requirements, progress and exceptions.

Discuss your project

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

Where this can help your operation

  1. Quoting starts with unstructured requests

    Organize requirements from emails, forms and documents into a draft job specification. Missing dimensions, quantities or materials can be flagged before a person approves the quote.

  2. Work orders lose context between teams

    Connect the approved specification to scheduling, materials and job updates. Track revisions so teams know which instructions are current and which changes need approval.

  3. Production updates arrive too late

    Collect progress and exception reports at agreed points in the workflow. Make delays, material shortages and incomplete steps visible to the people who can resolve them.

Connected to your existing systems

We assess quoting software, production planning, inventory and existing shop-floor records. Some integrations use APIs or databases; others begin with structured file exchanges. The approach depends on available interfaces and the reliability of source data.

A practical starting point

Select one product family or job type. Map the information from request to delivery, agree how revisions are controlled and test normal jobs alongside rework and shortage scenarios. AI-generated specifications remain drafts until approved.

Measures to agree before implementation

  • Time from request to a reviewable quote
  • Work orders missing required information
  • Time needed to identify and communicate production exceptions

Questions before starting

Do we need connected machinery to start?

An initial project can focus on office-to-production information: quotes, work orders, inventory and progress reports. Machine connectivity is a separate integration question.

Can AI approve specifications or production changes?

Approval responsibilities are defined with your team. A useful starting point is AI-assisted preparation and checking, with people authorizing changes that affect production.

How do you scope the project?

We review one representative job, the systems it passes through and the recurring exceptions. That establishes the first integration boundary and the measures used to evaluate it.

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.