Feature Catalogue // Voice AI
A structured feature system for every voice AI capability we ship.
This page distills the voice AI feature classification framework into a buyer-facing overview of what is core, what ships today, and what expands later through add-ons and roadmap releases.
Packaging Model
Four ways a feature can be framed.
Core — foundational capabilities that define the AI receptionist itself.
Standard — included in the base package and configured per client.
Add-on — additional scope, integrations, or compliance overhead.
Readiness Model
What is shipping now versus next phase.
Now — production-ready for launch in the current phase.
Next Phase — planned, but gated by compliance, infrastructure, or maturity.
Catalogue Snapshot
Selected categories from the feature framework.
Conversation Engine
- • NLU and sub-700ms latency
- • Barge-in and turn-taking
- • Background noise filtering
- • Hallucination guardrails
Inbound Call Handling
- • 24/7 answering
- • FAQ resolution from knowledge bases
- • Missed-call recovery
- • Intelligent voicemail
Scheduling & Workflow
- • Live booking on the call
- • Calendar integration
- • Service-specific time blocks
- • Recurring appointment support
Knowledge & Personalization
- • RAG grounding and document upload
- • Website auto-sync
- • Long-term caller memory
- • Pre-call context lookup
Compliance & Security
- • PIPEDA baseline compliance
- • AI disclosure prompts
- • PII redaction
- • Audit trails and operational logging
Integrations & CRM
- • Native CRM connectors
- • Webhook and API-based workflows
- • Mid-call CRM lookups
- • Ticketing and automation triggers
Delivery Summary
The catalogue is designed for clarity, not complexity.
Each capability is categorized by packaging and readiness so the team can decide quickly what belongs in the product, what is included, and what is still a roadmap item.