R.I.C.H.O. Use Cases
Threeprimaryusecases.Honestaboutwhateachdoes.
Each use case shows the input, process, output and limit. Enforcement labels explain how each control actually works — not how it is described in marketing.
Enforcement Labels
Each control in the use cases below is labelled with its actual enforcement level. These labels describe how the control works in practice, not how it is aspirationally described.
The control is defined in policy documentation. Enforcement depends on implementation.
The control is applied through AI prompt instructions. Effective within the prompt context.
The control is enforced by the absence of a capability in the interface. Not a security control.
The control is enforced by application logic. Effective within the deployed application.
The control is enforced by the AI provider's own safety systems.
The control requires explicit human approval before proceeding. Recorded with identity and timestamp.
Controlled Business Intelligence
INPUT
Structured business information — company background, market context, competitive landscape, financial indicators.
PROCESS
AI-assisted analysis inside a defined assessment framework. The system applies structured analytical roles to identify patterns, risks and evidence gaps. Each finding is classified by confidence level.
OUTPUT
Scored findings, identified risks, evidence gaps and recommended actions. All outputs are labelled with their evidence basis and confidence level.
CONTROLS AND ENFORCEMENT LEVELS
The analytical framework is defined in the prompt. The AI operates within the stated scope.
All outputs are labelled with confidence level and evidence basis by the application.
The public demonstration has no live external data access. Analysis is based on provided inputs only.
Findings are presented for human review before any action is recommended.
Commercial-Readiness Assessment
INPUT
Product documentation, ownership structure, customer evidence, revenue data and technical specifications.
PROCESS
Assessment against documented readiness dimensions — product maturity, market evidence, commercial structure, technical foundation and risk profile. Each dimension is scored and explained.
OUTPUT
Commercial-readiness report with dimension scores, identified gaps and improvement priorities. Clearly labelled as an assessment, not a valuation or certification.
CONTROLS AND ENFORCEMENT LEVELS
The readiness dimensions and scoring criteria are documented in the assessment framework.
The AI is instructed to distinguish between stated claims and verified evidence.
Outputs are classified as assessment findings, not verified facts or professional opinions.
The demonstration has no capability to make commercial decisions or commitments.
Assessment outputs require human review before any commercial use.
Controlled Pilot Preparation
INPUT
Customer problem statement, proposed scope, responsibilities, deliverables, success criteria and timeline.
PROCESS
Structured pilot-planning framework applied to the inputs. The system produces a draft pilot proposal covering scope, deliverables, responsibilities, risks and success criteria.
OUTPUT
Draft pilot proposal requiring commercial and legal review before use. Clearly labelled as a draft requiring professional review.
CONTROLS AND ENFORCEMENT LEVELS
The planning framework constrains the proposal to the stated scope.
The AI is instructed to avoid legally binding language and to flag items requiring legal review.
The demonstration has no capability to create agreements or send proposals to third parties.
All outputs are labelled as drafts requiring professional review.
The proposal requires explicit human approval before any commercial use.
See these use cases in a private demonstration.
Request a guided walkthrough of any use case applied to your specific business context.
Demonstrations are available for qualified commercial and technical evaluators.