Resolve more. Escalate less. The AI virtual assistant built for enterprise CX.
Resolve more. Escalate less. The AI virtual assistant built for enterprise CX.
Resolve more. Escalate less. The AI virtual assistant built for enterprise CX.
Your last virtual assistant stalled at tier-1. It worked in the demo, then failed in production. Inbenta Encore's AI virtual assistant resolves Tier-0 and Tier-1 inquiries with +98% accuracy from day one, governed by Programmed Intelligence and production-ready in days, not months.
Your current virtual assistant isn't scaling. Here's why:
Your current virtual assistant isn't scaling. Here's why:
Your current virtual assistant isn't scaling. Here's why:
You've deployed one before. It worked in the pilot. It failed in production.
The rule-based bot you inherited couldn't handle a compound question. The LLM wrapper you tested last quarter answered confidently and wrong. Your team spent six months maintaining content and containment still plateaued.
Both approaches fail enterprise CX for different reasons. Rule-based systems can't handle complexity. Generative wrappers can't be trusted in regulated environments because you can't prove to a regulator what the model said or why.
What you need is a virtual assistant that combines the control of deterministic logic with the fluency of generative AI, without choosing between them.
That is what Inbenta's Encore delivers.
What an AI virtual assistant actually does at enterprise scale
What an AI virtual assistant actually does at enterprise scale
What an AI virtual assistant actually does at enterprise scale
The best virtual assistant for your enterprise CX operation is not the same thing as Alexa or a personal scheduler.
In your contact center, a virtual AI assistant is a Tier-0 and Tier-1 resolution engine that handles high-volume customer inquiries end to end, escalates only what it should, and passes full context to the live agent when it does.
Done right, it changes the economics of your contact center. Encore customers report +35% better first-contact resolution and +30% CSAT improvement because resolution, not deflection, is the metric that matters. Deflection sends your customer somewhere else. Resolution closes the loop.
The accuracy gap in virtual assistants is not a model problem. It's an architecture problem.
Most vendors generate answers probabilistically at runtime and hope the response is right. Encore doesn't.
Encore is built on Programmed Intelligence, powered by a dual-LLM architecture that traces every response to a governed source. Answers are deterministic-first.
When your customer asks a question, Encore matches it to structured intent, retrieves the approved answer from your knowledge sources, and uses generative AI only where it adds value, such as tone or summarization.
The second half of the equation is Knowledge Engineering. Encore structures the data the AI acts on so intent is understood from day one, with no training required. Your documentation, policies, and product content become a governed knowledge layer the assistant draws from, not a pile of text the model guesses at.
The result is +98% accuracy, measured against production traffic in regulated environments.
See how Encore handles your highest-volume intents with full governance.
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Safe and auditable are not the same thing. Safe means the AI will not cause harm. Auditable means you can prove to a regulator, or to your own CISO, CRO, or compliance lead with veto authority on AI deployment, what the assistant said, why it said it, and where the answer came from.
In financial services, travel, online gambling and gaming, and B2B SaaS with regulated customers, auditability is the condition of deployment.
Encore's glass box architecture gives you that by design:
- Full audit trail of every interaction, every source consulted, and every action taken
- Role-based access controls so the right people on your team can edit knowledge, approve content, and review logs
- Configurable data residency to meet regional compliance requirements
- Explainable responses that trace back to a governed knowledge source, not a black-box completion
This is how enterprises in highly regulated verticals deploy AI to customer-facing channels without tripping compliance or legal review.
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Enterprise AI projects usually fail at two points: the pilot and the rollout.
Pilots fail because the tooling is over-engineered for a proof of concept. Rollouts fail because the platform can't scale past the first use case without another six-month implementation.
Encore is engineered for speed to value. Your source content is ingested, processed, and converted into governed, ready-to-deploy intents in 30 to 60 minutes. Deployment is +75% faster than alternatives, and customers reach live production 8x to 10x faster than with traditional build-your-own approaches.
Because Programmed Intelligence and Knowledge Engineering understand intent from day one, there is no training phase for your team to sit through before the assistant can take real traffic.
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The reason most virtual assistants plateau is maintenance. New products ship, policies change, customer language shifts, and the content library falls behind. Someone on your team is supposed to keep it current. In practice, no one does.
Encore's autonomous maintenance capability continuously monitors real user interactions, surfaces optimization opportunities, and closes content gaps automatically.
New intents, missing sources, and escalation fixes are identified and queued for approval without manual discovery. Your assistant gets more accurate over time, not less, and your CX team spends its hours on strategy rather than content triage.
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Your Genesys, Salesforce, or IBM stack is not the problem. It's the reason you have institutional customers in the first place. Encore connects to it, it does not replace it.
With 850+ prebuilt enterprise integrations, Encore drops into the infrastructure you already run. CRM, CCaaS, ticketing, knowledge bases, identity, and payment systems connect in hours, not quarters.
There is no rip and replace, no parallel stack to maintain, and no forced migration that pauses service delivery for a year.
This is how a governed virtual assistant ships inside the systems your agents, customers, and auditors already trust.
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Enterprise results, not vendor promises
Three production deployments illustrate what Inbenta's CX AI looks like at enterprise scale.
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See Encore's AI virtual assistant in your own environment
Most virtual assistant pages end with a form. This one ends with a demo tailored to your stack and your regulated-industry requirements.
We will show you the governance controls, the audit trail, and the deployment path for your highest-volume intents.
FAQs
FAQs
FAQs
Common questions about AI virtual assistants.
A virtual assistant in enterprise CX is a governed AI system that resolves Tier-0 and Tier-1 customer inquiries across channels, escalating only what it should. Encore delivers +98% accuracy from day one through Programmed Intelligence, a deterministic-first architecture that traces every response to a governed knowledge source.
A virtual assistant in enterprise customer service handles Tier-0 and Tier-1 inquiries end to end across web, mobile, messaging, and voice, executes account-aware actions within guardrails, and escalates the rest to live agents with full context. Encore customers see +35% better first-contact resolution and +50% overhead cost reduction.
Encore prevents hallucinations by design. Programmed Intelligence, powered by a dual-LLM architecture, traces every response to a governed source rather than generating answers probabilistically at runtime. You see the source, the intent, and the logic for every interaction, which is how Encore delivers +98% accuracy in regulated environments.
Source content is ingested and converted into governed, ready-to-deploy intents in 30 to 60 minutes. Full deployment is +75% faster than alternatives, with production go-live in days to weeks, not months. Programmed Intelligence understands intent from day one, so there is no training phase before the assistant handles real traffic.
Yes. Encore ships with 850+ prebuilt enterprise integrations, including Genesys, Salesforce, IBM, and other legacy CCaaS and CRM stacks. Encore connects to the systems you already run. There is no rip and replace, no parallel stack to maintain, and no forced migration.
Encore customers report +50% overhead cost reduction, +35% better first-contact resolution. ROI shows up in cost per contact, resolution rate, and agent capacity.
Encore is built for regulated CX. Every response is auditable, every source is traceable, and access is role-based. Configurable data residency supports regional compliance, and glass box architecture means you can prove to a regulator what the assistant said and why. Your data stays under your control.
A rule-based chatbot follows scripts. An AI agent executes autonomous workflows. An AI virtual assistant built on Encore combines both: governed resolution across channels plus account-aware actions within policy guardrails. It resolves inquiries end to end rather than routing them, which is why Encore leads with resolution, not containment.
For enterprises shaping customer experience.
