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Rowell Holdings

AI automation

AI automation for the systems your business already runs

We put AI to work inside your own workflows: private, enterprise-licensed assistants and agents that work directly against your own database and documents, with your data kept under your control.

Problems solved

What this fixes

  • Informal, uncontrolled AI use

    Business data may be pasted into public tools, and the benefits are not captured.

  • Document-heavy processes

    People read, classify and re-key information from documents by hand.

  • Knowledge that is hard to find

    Answers sit in files and systems that only a few people know how to search.

What is delivered

What you get

  • Business GPT workflows

    Private assistants and agents working against your own database and documents.
  • Document processing

    Documents read, classified and turned into structured data inside your workflow.
  • AI added to existing systems

    An AI layer around the systems that already hold the record, not another platform.
  • Rules and oversight

    Clear controls on what data AI can use and who reviews its output.

Engagement model

How an engagement runs

  1. Step 1

    Discovery

    Two weeks, fixed fee. We study how work really flows, map your systems and data, and write the proposal.

  2. Step 2

    Build

    We deliver in stages you can review, starting with the change that saves the most time.

  3. Step 3

    Support

    Monitoring, updates and changes under a monthly plan, with a local team a phone call away.

Not ready for a quote?

Take the free systems audit and get a written report on what to fix first.

Take the free systems audit

FAQ

AI automation: common questions

How does an engagement start?

With a fixed-fee, two-week discovery. We map how the work really flows, decide what to build first and give you a written proposal with scope, timeline and price before any build.

Where does our data go?

AI workflows are scoped for compliance and built so your data stays under your control, using enterprise-licensed services rather than public consumer tools.

Do we need to replace our systems to use AI?

No. The useful move is usually smaller: an AI layer around the ERP, database or line-of-business system that already contains the data.

Who owns the code and the data?

You do. Work is delivered into repositories you control, documented as we go, and built on open, mainstream tooling your own team or another vendor can pick up.

Tell us what is slowing your operation down

Send us a short description and we reply within one business day.