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Conversational AI · R&D

Conversational systems, designed around sources and boundaries

Currently under research and development. Prototype scope, supported channels, and deployment status are established per project; no support, conversion, or response-time result is assumed.

R&D Directions

Conversation workflows to evaluate

Customer Support AI

A possible prototype could draft responses to approved FAQ topics and identify cases for human review. Data access and handoff behavior require project-specific validation.

E-commerce · SaaS · Local Services

Sales Assistant AI

A possible workflow could collect structured answers to an agreed set of questions. Consent, data handling, and routing rules must be defined before deployment.

B2B SaaS · Professional Services · Home Services

Onboarding Assistant

A prototype could help users navigate approved setup material. Coverage and answer quality should be evaluated against representative questions.

SaaS · Platforms · Marketplaces

Design considerations

Scope before integration

These are potential design requirements, not included or deployed controls. The implementation must be evaluated against an agreed scope.

  • Approved knowledge sources
  • Human escalation boundaries
  • Representative evaluation questions
  • Data access and retention scope
  • Failure and fallback behavior
  • Deployment-specific operational review

Explore a bounded conversation workflow

Describe a conversation workflow, its approved sources, and its escalation needs. We can discuss feasibility and evaluation criteria.