Alyvon
Analytics / Custom AI

Custom AI only works when the workflow and data are clear first.

We build custom agents for a specific problem, deployed in your environment — after the workflow is understood and the data can be trusted.

Book an Analytics scoping call
A custom AI agent deployed inside your environment on top of your data pipeline, with a human-review gate on consequential actions

What qualifies as a good project

  • The workflow is well understood and repeatable
  • The data it needs exists and can be made reliable
  • A human owns the outcome and can review it
  • The value is clear if the task is automated

What Alyvon builds

Internal workflow agent

Data QA / reconciliation agent

Reporting assistant

Customer operations assistant

Knowledge-base assistant

Lead qualification or routing agent

What Alyvon won’t build

  • Anything that acts on data you can’t make reliable first
  • Fully autonomous systems with no human review of consequential actions
  • “Do everything” agents with no clear workflow or owner
  • Use cases that require exposing sensitive data without controls

Security and deployment

Custom AI runs where your data lives. The deployment environment, the data it can reach, and the controls around it are defined during scoping — before any build — and consequential actions keep a human in the loop.

The process

  1. Scope. Define the workflow, the data, the owner, and the value.
  2. Prepare. Make the data reliable and set the deployment and controls.
  3. Build. Ship the agent into your environment with human review.
  4. Operate. Measure, tune, and expand once it’s proven.

Frequently asked questions

A clear, repeatable workflow, reliable data, a human owner, and obvious value if the task is automated. When those aren’t true, we fix the data and the workflow first.

Start with the problem, not the model.

Book a scoping call and we’ll pressure-test the workflow and the data first.

Book an Analytics scoping call