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SOLUTIONS · Conversational AI

Your requests, resolved.

Customer questions, service cases, employee requests: resolved through dialogue, immediately, in every department. Grounded in the KMS, remembering every turn, escalating when it matters.

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Connected once, resolving everywhere.

Conversational AI for customer service, helpdesks, assistants, and voice, in every department of your business.

resolving … · grounded in the KMS · escalating cleanly

Deploymentself-hosted or dedicated
Channelstext and voice
Groundingthe KMS, your sources
Memoryfull conversation held
Escalationclean handoff, history attached
Validationseventeen layers

Watch it resolve.

Resolved

A question becomes a resolution. Answered, confirmed, completed, in the customer's language, any hour.

Answers · with sources

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Remembered

It holds the thread. Turn ten knows turn one.


Context · across turns

Turn 1 · issue raisedheld
Turn 5 · detail addedheld
Turn 10 · resolvingin context

Spoken

It speaks your language, aloud. Voice in your interfaces: 
asked aloud, answered aloud, any hour.

Voice · in your interfaces

Voice inunderstood
Answerspoken
Languagematched

Escalated

It hands off cleanly. The complex case goes to a human, history attached, mid-sentence if needed.

Handoff · when needed

Routineresolved
Complex caseto a human
Handoffhistory attached

What Conversational AI returns.

Speed

Requests resolve in the first conversation, and nothing waits in a queue.

Availability

Every hour of the day, in every language your customers speak.

Scale

Thousands of conversations at once, each one answered in full.

Loyalty

Customers are answered at once, and they stay.

Every interface is becoming a conversation. The question is whether yours can hold one.

What is your queue asking?

Service queues, helpdesk backlogs, the questions after hours: requests your business answers slowly, or leaves waiting. Every one of them is a dialogue waiting to happen. The analysis maps the request points: the surfaces, the knowledge they need, the resolution they could reach, classified across six types and six autonomy levels, validated against seventeen layers, matched to industry-validated use cases. Grounded in peer-reviewed science. From there, we build.

Request points · sample map

Product questionsdelegated
Helpdesk requestsdelegated
Service casessupervisory
Complaint responsesadvisory
Key account conversationswith a human
live · on-brand data

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Ask your first question.

Conversational AI addresses natural language dialogue and interactive exchange. The defining characteristic is that the system conducts an interactive conversation with a user or another system, maintaining context across turns. Here, grounded in your own knowledge.

Conversational AI resolves customer questions, service cases, and employee requests: anything your knowledge already answers, resolved through dialogue rather than deflected to a form. Where a chatbot guesses from a script, this draws on what your business knows, with the source attached.

Conversational AI is grounded in the knowledge management system (KMS), your structured knowledge: product data, specifications, manuals, policies, and contracts. Every answer draws on your own sources rather than the open internet, so it speaks for your business accurately, with its evidence attached.

Conversational AI hands over whenever the case calls for a person, and on request at any point. The conversation transfers with its full history attached, mid-sentence if needed, so the person picks up exactly where it stands. Handover is designed in, at the level you set.

Conversational AI holds every conversation in your environment, under your retention rules, and a transcript can be deleted at source. What a customer types stays inside your instance, and every answer records what it drew on, so a conversation can be reviewed later.

Conversational AI is scoped to the surfaces in view: how many channels, how many languages, and the volume they carry. Every engagement begins with the analysis, which reads where requests wait today and scopes the work against the 180 use cases already in the platform.