Docs · Use cases
Use-case intake workflows
See how SentinelAI helps teams capture business context, intended AI usage, accountable owners, and early review triggers before downstream governance work begins.
Overview
Use-case workflows help organizations move AI governance upstream. Instead of waiting until a model is almost ready, teams can capture business purpose, operating context, and stakeholder expectations at intake so later reviews start from a stronger foundation.
This page is part of the public SentinelAI documentation layer. It is meant to accelerate orientation and evaluation while staying aligned with the product’s governance-focused positioning and messaging guardrails.
Intake foundation
A strong intake record explains why the AI initiative exists, who owns it, what value it is expected to generate, and which stakeholders need to participate in review.
- Business objective and application context
- Stakeholder ownership and accountable teams
- Early risk and approval triggers
Linking to models and data
Use-case intake becomes more useful when it stays connected to the models, datasets, controls, and governance documents that support delivery.
Why intake matters
Organizations that skip structured intake often lose time later reconstructing purpose, scope, and accountability during compliance or customer review. SentinelAI is designed to reduce that rework.