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CX TOOLKIT

The same customer. The same question. The same answer on every channel.

The same customer. The same question. The same answer on every channel.

The same customer. The same question. The same answer on every channel.

Encore's CX Toolkit is the customer-facing layer of the platform. Voice, chat, search, agents, and demos — every channel reading from the same governed Knowledge Engineering layer, so consistency is structural, not stitched together after the fact.

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THE PROBLEM

Customers don’t experience channels. They experience your brand.

For your CX leaders

When voice gives one answer, chat gives another, and self-service gives a third, the customer experiences inconsistency, and the contact center experiences the repeat call. Channel-by-channel automation projects have not closed this gap because the gap is structural. Different channels, different knowledge sources. Different knowledge sources, different answers.

For your technical team

Multi-channel AI built from point solutions means multiple knowledge bases, multiple governance regimes, and an integration burden that grows with every new channel added. The team that owns chat is not the team that owns voice. Consistency becomes an ongoing reconciliation project — and the reconciliation never finishes.

For your compliance team

The audit trail looks different on every channel. Voice has its own logs. Chat has its own logs. Self-service has its own logs. The explainability of the response depends on which channel the customer happened to choose. A regulator does not accept "it depends on the channel" as an answer.
WHAT ENCORE RESOLVES

Five customer-facing capabilities. One governed AI underneath.

Each of the five capabilities below solves a specific kind of customer interaction. None of them runs in isolation. The same governed Knowledge Engineering layer powers them all — which is why the answer your customer gets on voice matches the answer they get on chat, search, or self-service.

Conversational AI Assistants

For tier-0 and tier-1 inquiries across web, mobile, and messaging. Customers track orders, process returns, and look up policies end-to-end without ever needing to repeat themselves. It’s the same governed knowledge as every other channel.
→ Conversational AI Assistants

AI Agents

Goal-driven, multi-step resolution for the interactions that scripted automation simply can’t handle. Sales agents that qualify and convert. Customer service agents that resolve from first contact to close. SmartOps agents that coordinate the back-office actions and keep the front-line interaction moving. Built for regulated environments where pre-scripted automation has hit its ceiling.
→ AI Agents

Voice AI

Replaces the IVR as the front door of the contact center. Resolves tier-0 and tier-1 calls end-to-end with +98% accuracy, in 90+ languages natively. Same Knowledge Engineering layer that powers chat — so when a customer calls in about the question they asked the chat assistant yesterday, voice picks up where chat left off. Connects to your existing telephony stack through 850+ pre-built integrations.
→ Voice AI

Interactive Demo Experiences

Self-guided walkthroughs that resolve evaluation, onboarding, and product-discovery interactions before the customer ever needs to talk to anyone. Authored without engineering time. Governed against the same source of truth as every other CX channel. Powered by Inbenta Learn+.
→ Interactive Demo Experiences

Enterprise Search

Surfaces verified answers from across CRMs, knowledge stores, ticketing systems, and documents. 2.5x faster than standard search. Every result traces to its governed source — so customers and agents stop hunting across systems for an answer that already exists. Same source of truth as every other CX channel.
→ Enterprise Search
WHY IT HOLDS

Consistency is architectural.

Most omnichannel AI is consistent at the routing layer and inconsistent at the answer layer. The routing knows where the customer came from. The answer comes from a different knowledge base depending on which channel was routed to. Encore inverts that. Programmed Intelligence retrieves from one governed Knowledge Engineering layer regardless of which channel the customer arrived on. The voice agent and the chat assistant are not coordinating after the fact. They are reading from the same source from the start.

Encore is also model-agnostic by design. The underlying LLM can change without changing the answer your customer gets, because the answer was retrieved from your governed knowledge, not generated at runtime.

How AI orchestration works underneath
PROOF IN PRODUCTION

Built on twenty years of governed AI in regulated CX.

Built on twenty years of governed AI in regulated CX.

Built on twenty years of governed AI in regulated CX.

The customer numbers below come from deployments built on Inbenta's two-decade history of running customer-facing AI in regulated environments — the same engineering DNA Encore is built on.

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What this means in practice:
$2M+ saved
Digital adoption transformed across self-service channels in one of the most regulated financial services environments in operation. The kind of deployment most AI vendors quietly avoid.
84% reduction in escalations
Four out of every five customer service escalations eliminated through coordinated AI across channels — without giving up the audit trail regulated customers depend on.
10M+ queries resolved annually
Enterprise-scale customer query volume handled across channels and languages, with the same governed answer regardless of where the customer reached out from.

Run all your channels on one governed AI.

Bring your channel mix and your highest-volume customer interactions. The Inbenta team shows how the CX Toolkit handles them under one governance layer: voice, chat, search, agents, and demos answering the same way to the same question, with the audit trail to prove it.

Production-ready in days, not months. Source content ingested and converted into governed intents in 30 to 60 minutes.

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FAQs

FAQs

FAQs

Common questions about the CX Toolkit.

What is an AI customer experience platform?

An AI customer experience platform delivers AI across the channels customers use — voice, chat, search, self-service, and human-agent assist — from one coordinated layer rather than as a stack of separate tools. The CX Toolkit is Encore's customer-facing layer. Every channel reads from the same governed knowledge source, which is what keeps the answer consistent.

How is an AI CX platform different from a CCaaS or CRM?

CCaaS handles routing and infrastructure. CRM handles customer records. Neither one handles the AI that talks to your customers across channels. Encore's CX Toolkit is the AI layer that runs on top of both, connecting through 850+ pre-built integrations rather than replacing what you already have.

Does the CX Toolkit work with our existing voice, chat, and contact center stack?

Yes. Encore connects to Genesys, Salesforce, IBM, ServiceNow, Zendesk, and the rest of the enterprise contact center stack through 850+ pre-built integrations. The CX Toolkit augments your existing channels with governed AI rather than asking you to migrate off them.

How does Encore keep responses consistent across voice, chat, and self-service?

Every channel in the CX Toolkit reads from the same governed Knowledge Engineering layer through Programmed Intelligence. The voice agent and the chat assistant retrieve from the same source. The answer is the same because the source is the same.

Is the CX Toolkit suitable for regulated industries?

The CX Toolkit was built for regulated industries first. Every customer-facing answer traces to its governed source. Audit trails are consistent across channels. The architecture maps to CFPB, EU AI Act, SOC1, SOC2, and HIPAA auditability requirements. Production deployments include some of the most regulated financial services and healthcare environments running today.

How long does it take to deploy the CX Toolkit?

Source content is ingested and converted into governed intents in 30 to 60 minutes. Initial production deployment runs in days, not months — typically +75% faster than alternatives. The CX Toolkit augments your existing infrastructure rather than replacing it.

Do we need separate vendors for voice AI, chat, and search?

No. Buying separate vendors for each customer-facing channel is exactly what creates the channel-fragmentation problem the CX Toolkit solves. One platform, one governed knowledge layer, one audit trail across voice, chat, agents, search, and demos. One vendor relationship instead of five.

DEPLOY IN DAYS

For enterprises shaping customer experience.

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Why Inbenta
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