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Relevant · Back-Office AI Automation

Where are our people re-keying data that a machine should be moving?

We engineer automations for hours-heavy work such as re-keying, reporting, payroll and document routing, put them into production, and keep them running.

The Vizius Way

How it works: five steps, one Principal Engineer

One Principal Engineer leads it from the first call until your team has adopted the work and trusts it. Each step shows what it means for this engagement.

  1. Step 01

    Discovery Call

    30 minutes with the Principal Engineer who would lead this engagement. Free, and no sales handoff.

  2. Step 02

    Direct Assessment

    Find the hoursMeasure where the time goes.

  3. Step 03

    Shared Roadmap

    DesignPick the automation and the human checkpoints.

  4. Step 04

    PE-Led Delivery

    Build and run in parallelCompare against the manual process.

  5. Step 05

    Outcome Assurance

    OperateMonitor, maintain and extend.

How we work, step by step

Proof

What changed for a client

Vizius streamlined timekeeping entry and analysis for an industrial services company consolidating acquired shops onto one timekeeping process.

Ready when you are

Thirty minutes with the Principal Engineer who would lead the work. Pick a time on the spot, or email us.

What you get

  • Automations for re-keying, reporting, payroll consolidation and document routing
  • Plain-English questions over ERP and financial data (formerly Chat With Your Data)
  • Production deployment with monitoring and human review where it matters
  • Ongoing engineering as processes change
Who you'll work with

A Principal Engineer, not a salesperson

Likely lead: David Hyde-Volpe or Jared Sutton. You talk to the engineer who does the work on Back-Office AI Automation.

Questions buyers ask

Is this AI or ordinary automation?

Both. We use language models where they help, such as reading documents, and plain code where it is cheaper and more reliable.

How do you keep errors out of payroll or finance?

Parallel runs against the manual process and human review steps before anything goes live.

What happened to Chat With Your Data?

It is now part of this offering: plain-English access to your data, built and run in your environment.

More detail

Most AI value sits in the hours your team spends moving data between systems. We engineer automations for that work, put them into production, and keep them running as your processes change. That includes plain-English access to your own data.

Related offerings

Not sure this is the right fit?

Take the blind spot check. Four questions to start, then go deeper on one dimension.

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Glenn JohnsonDavid Hyde-VolpeMax DingesCameron Cromer

Speak directly to an engineer. We're based at 141 Traction Street, Greenville, SC.

Meet the team