Product family
Product conceptConversational & Voice AI
Conversations that finish the job or hand over with full context.
Customer and employee assistants for chat and phone that understand intent, take scoped actions through your systems and transfer to a person with the conversation summarised.
Product concept. This is not a self-serve product yet. There is no public account, live dashboard or price list; we deliver it as a configured build and will show you the architecture, not a staged demo.
/ 01Overview
What it is and why it matters
Rule-based chatbots frustrated customers because they could only follow scripts. Large language models understand far more, but an assistant that only talks is not much better. Value comes from resolving the request: checking an order, rebooking an appointment, resetting access, and knowing when to stop.
The Conversational & Voice AI concept pairs natural conversation with a small set of well-defined actions behind it. Each action is an API call with validation and limits. Voice adds speech recognition, low-latency responses and barge-in handling. When the assistant reaches its limits, it hands the customer to a person together with a summary, so nobody has to repeat themselves.
It is a product concept delivered as a build. We are explicit about disclosure: people should know they are talking to an AI system.
/ 02Features
How it works
01
Intent and action design
We map the top request types, define which can be fully resolved and specify each action as a validated API call.
02
Grounded responses
Answers about policy or product come from approved content with retrieval, not from the model’s general knowledge.
03
Voice pipeline
Streaming speech recognition and synthesis tuned for latency, interruptions and accents typical of your callers.
04
Warm hand-off
Escalation passes a structured summary, verified identity state and next-best action to the human agent.
05
Conversation analytics
Containment, transfer reasons and failure clusters are reported so the assistant improves on evidence.
06
Disclosure and consent
AI disclosure, recording notices and opt-out paths are built in and configurable by channel and jurisdiction.
/ 03Actual capabilities vs roadmap
What a first release includes, and what it does not
In scope for a first build
- Web chat and messaging channel assistants
- Scoped transactional actions through your APIs
- Retrieval over approved knowledge
- Human hand-off with summary
- Analytics and transcript review
Roadmap, not yet delivered
- Telephony voice agent with streaming speech
- Proactive outbound notifications
- Multilingual voice with per-language evaluation
/ 04Use cases
Where it earns its keep
Order and booking changes
Customers check status, change delivery or reschedule appointments without waiting for an agent.
Internal IT and HR help
Employees resolve password, access and policy questions in Teams or Slack, with tickets created when needed.
After-hours first response
Out-of-hours enquiries are triaged and captured properly instead of waiting in a voicemail box.
Related solutions: Customer Support & CX, HR & People Operations, IT & Engineering
/ 05Integrations
Connects to the systems you already run
Listed systems are integration targets reached through their documented APIs. Their mention does not imply a partnership or endorsement.
Channels
- Website chat
- WhatsApp Business Platform
- Microsoft Teams and Slack
- Contact-centre telephony (SIP or CCaaS)
Back-end actions
- CRM and ticketing
- Order and booking systems
- Identity providers for verification
/ 06Security and governance
Designed for oversight
- Identity verification steps before any account-specific action.
- Payment card data is never handled by the model; payment flows use compliant providers.
- Transcripts are redacted for personal data before storage where required.
- Rate limits and abuse detection protect public-facing channels.
/ 07Demo
No live product demo yet
There is no live demo of Conversational & Voice AI because it is not a released product. We can walk you through the architecture and a scoped first build instead.
/ 08Pricing or quote
Priced to your scope, never invented
Scoped per engagement. Running cost depends on conversation volume, channel and voice minutes, and is modelled before build.
/ 09FAQ
Questions about Conversational & Voice AI
Will customers know they are talking to AI?
Yes. We design for clear disclosure at the start of every conversation, which is also increasingly a legal requirement in several jurisdictions.
What happens when the assistant gets it wrong?
Consequential actions are confirmed with the customer before execution, uncertain requests are escalated, and transcripts of failures are reviewed to fix the cause.
Is the voice agent available now?
Voice is on the roadmap of this concept. We assess telephony requirements and latency budgets during discovery before committing to it.
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Explore Conversational & Voice AI with our team
A 45-minute conversation with an engineer: your workflow, the architecture, the risks and what a first version would include.