AI Methodology

Structured, reviewable and business-focused

We use AI as an analytical and software component inside clearly defined business projects. Outputs are reviewed for relevance, data quality and consistency before they are delivered or incorporated into client-facing tools.

  1. 01 — Business Requirement

    Define the business question, workflow, data inputs, expected deliverables and acceptance criteria.

  2. 02 — Data Preparation

    Review available business data, normalize relevant fields and document assumptions and limitations.

  3. 03 — Model or Workflow Development

    Develop analytics, automation logic or AI-assisted software components appropriate to the project scope.

  4. 04 — Human Review & Delivery

    Check outputs, document known limitations and deliver reports, dashboards, software or implementation guidance.

AI-generated outputs may contain errors and should be evaluated in the context of the client’s business process. Radiant ML does not use AI to provide personalized investment recommendations or securities trading instructions.