Human oversight
AI assists decisions; it does not silently make them. Consequential outputs stay reviewable and reversible.
Responsible AI
AI first, but never at the expense of accountability
casaios is built AI-first and provider independent. Governance runs before release, not after incidents: every AI feature is reviewed for purpose, data flow, failure modes and disclosure obligations.
Our principles
Transparency
Users are told when content is AI-generated and which data informed it.
Data minimisation
Only the data required for a task is sent to a model provider, and never for provider training.
Provider independence
Models are interchangeable. Provider choice is an engineering decision, never a lock-in mechanism.
No dark patterns
No manipulative defaults, no hidden opt-ins, no obscured way to turn AI features off.
Contestability
Users can challenge an AI output and request human review through a documented path.
Governance lifecycle
Each AI capability moves through the same review gates before it reaches production.
- Step 1
Intake
Purpose, users affected and expected benefit are documented.
- Step 2
Assessment
Data flows, provider terms, risk tier and failure modes are evaluated.
- Step 3
Controls
Disclosure, human review paths and logging requirements are defined.
- Step 4
Monitoring
Post-release evaluation of quality, robustness and bias-relevant behaviour.
Responsible AI documents
In preparation
Responsible AI Statement
casaios principles for transparent, human-centred and provider-independent AI.
- Category
- Responsible AI
- Last updated
- Not yet published
In preparation
AI Processing Notice
How prompts, outputs and context data are handled when AI features are used.
- Category
- Responsible AI
- Last updated
- Not yet published