Start with the decision, not the integration.
Most AI programs begin by asking for all of your data. Grand Thera begins by asking which decision matters, what consequence it carries and what minimum evidence would change it.
The path
From a question to a running decision layer.
- 01
Frame the decision
Define the event, horizon, population and materiality threshold with the people who own the decision. This is the inferential contract that every later step answers to.
- 02
Identify the minimum evidence
Determine which sources would actually change the decision, and which are merely available.
- 03
Initial assessment
Produce a first, clearly scoped reading of the exposure, with its uncertainty stated rather than hidden.
- 04
Integrate progressively
Connect sources into TheraOS as their value is demonstrated, inside the client's infrastructure.
Scope
Confirmed with each client.
Data requirements, timelines and the form of the initial assessment depend on the decision problem and on what can be shared at the outset. They are agreed before work begins.