KNOWLEDGE
Knowledge Grounding
Answer from approved information instead of unrestricted sources.
AI INTERACTION
Good Interaction Begins With Trusted Knowledge
Conversational AI is useful when the information source, action boundary and escalation path are clear to both the organisation and the user.
DEFINEScope and interfaces
TESTCommission the real workflow
OPERATEAssign ownership and fallback
AI INTERACTION
Project-specific capability
TECHNICAL FOUNDATION
Good Interaction Begins With Trusted Knowledge
Conversational AI is useful when the information source, action boundary and escalation path are clear to both the organisation and the user.
DESIGN AREAS
What the project must define
These areas become explicit design and acceptance items rather than assumptions.
INTERFACE
Voice & Touch UX
Combine interaction modes appropriate to the environment.
HAND-OFF
Escalation
Hand off when the system reaches its information or action boundary.
CONTROL
Governance
Control sources, permissions, logging and approved actions.
KNOWLEDGE BOUNDARY
Separate the visible avatar from the governed knowledge layer
Presentation can change while the organisation keeps control of what the system is allowed to say and do.
- Approved source content
- Clear unsupported-topic behavior
- Content ownership
- Escalation
PRIVACY & IDENTITY
Do not assume biometrics or emotion analysis
Identity verification, facial recognition, emotion inference or similar functions require explicit evidence, privacy review and project approval.
- No generic biometric claim
- No generic emotion claim
- Consent and logging scope defined
- Role-based system access
IMPLEMENTATION
A disciplined technical path
01
Define
List user questions, journeys and allowed actions.
02
Ground
Connect approved content and data sources.
03
Design
Create voice/touch experience and escalation paths.
04
Govern
Review logs, content quality and permissions over time.
PROJECT CONTEXT
Where this technology matters
Knowledge Grounding
Answer from approved information instead of unrestricted sources.
Voice & Touch UX
Combine interaction modes appropriate to the environment.
Escalation
Hand off when the system reaches its information or action boundary.
Governance
Control sources, permissions, logging and approved actions.
PROJECT CHECKLIST
Evidence required before capability is promised
The final technical specification is tied to the selected platform, site and interface owners.
KnowledgeApproved sources only
Voice/touchSelected per interface and environment
LanguagesProject-configured
ActionsAllow-listed workflows
BiometricsNot assumed; separate privacy/technical review
LoggingDefined by project governance
FAQ
Questions before you plan a deployment
Can the AI answer from our documents?
Approved documents and data sources can be used as grounded knowledge for the interaction layer.
Can it support multiple languages?
Selected languages can be configured based on the project content and interface requirements.
Does it recognize faces or emotions?
Those functions are not generic defaults and require explicit evidence, privacy review and approved project scope.
What happens when the AI does not know?
The interaction should clearly escalate or redirect rather than inventing an answer outside its approved knowledge.
DISCUSS A PROJECT
Plan AI Interaction around your real environment.
Share the operating environment, current systems, users, constraints and the workflow you want to improve. RIFE can structure the appropriate technical review and deployment path.