Frameworks

The thinking behind the work.

Five frameworks RSUA uses to evaluate, design, and govern AI inside operating businesses. Open access. Built for operators.

Trust and Risk

How to think about AI risk like a CEO, not a compliance officer.

A practical taxonomy of where AI breaks, who pays when it does, and how to size risk before the project starts.

The technical and procedural controls that make AI safe to deploy.

From confidence thresholds to audit trails to red-team rituals. The mechanisms RSUA uses to ship AI without exposing the business.

The decision framework most AI projects skip.

When to develop AI in-house, when to license a vendor solution, and when to bring in a specialist partner.

What RSUA actually does, mapped against where AI delivers value.

The full surface of RSUA services across define, convert, install, and govern, with named outputs and typical timelines.

The three highest-ROI starting points for most operating businesses.

Why these workflows most reliably pay back, with patterns, anti-patterns, and the questions to ask before scoping.

The frameworks cover the patterns we see most. Every operating business has one or two questions specific to its situation. Bring yours.