ai Customer service Agent

The AI customer service agent that resolves, not just responds

Your customers do not want to repeat themselves, wait on hold, or get redirected to a FAQ page that half-answers their question. Inbenta Encore's AI customer service agent resolves enquiries from start to finish with +98% accuracy, across 90+ languages, 24/7.

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What Inbenta's AI customer service agent resolves

You already know the pattern. A customer reaches out, gets redirected to a knowledge article that half-answers their question, and calls back 20 minutes later to start over with a human agent. Inbenta's Encore AI customer service agent closes the loop instead of deflecting it.

Digital interface with three horizontal bars above a glowing blue button labeled 'AI Orchestrator' connected by thin lines.

Across financial services, travel, online gambling and gaming, and B2B SaaS with regulated customers, it handles:

Ticket resolution from first contact to close, not just deflection. Enterprises running Encore see +35% better first-contact resolution.

FAQ handling with governed accuracy. Every answer traces back to a pre-approved source and stays consistent across languages and channels.

Order tracking, account enquiries, and status updates pulled directly from backend systems through 850+ enterprise integrations.

Complaint intake and routing with full context. When an issue needs a human, the handoff includes the complete interaction history, customer sentiment, and recommended next steps.

Escalation management with audit trails. Every decision the AI made is logged and explainable, so your compliance and quality teams can review exactly what happened and why.

The combined effect: +30% improvement in CSAT and +50% reduction in operational overhead for enterprises running Encore at scale.

How it works

Encore's AI customer service agent runs on Programmed Intelligence, a knowledge-first architecture that delivers deterministic, governed responses rather than probabilistic guesswork.

Not just safe. Auditable. Built for regulated industries.

"Safe" means the AI probably 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, exactly what the assistant said, why it said it, and which knowledge source it drew from.

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For enterprises in financial services, travel, online gambling and gaming, and B2B SaaS with regulated customers, that distinction is the difference between a pilot that gets approved and one that stalls in legal review.

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Encore's glass box architecture makes every AI decision transparent and traceable:

Deterministic-first design

Programmed Intelligence retrieves answers from structured, governed knowledge rather than generating responses probabilistically. The AI draws from what you have approved, not what a language model predicts.

Full audit trail on every interaction

Every query, every intent match, every response, and every escalation decision is logged with the reasoning path visible to your compliance, legal, and quality teams.

Explainability for regulators and internal risk owners

When a CFPB examiner, an EU AI Act auditor, or your own CRO asks why the assistant told a customer a specific thing, Encore provides the exact source, the exact logic, and the exact version of the knowledge base that was active at that moment.

Hallucination controls built into the architecture

Because the system is knowledge-first and LLM-optional, the risk for fabricated responses is fundamentally smaller than in LLM-first platforms where every answer is generated fresh.

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Inbenta Encore won the TSIA Star Award for Digital Customer Success Innovator of the Year on exactly this differentiation.

What happens after go-live: Encore keeps improving

Here is one of the biggest concerns contact centre operations buyers rarely voice directly:

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"What happens after we launch?"

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Encore's autonomous maintenance capability eliminates the post-launch decay that causes most AI projects to need constant manual upkeep.

Continuous analysis of real user interactions to surface optimization opportunities your team would otherwise miss.

Automatic identification of new intents, missing knowledge sources, undefined acronyms, and escalation patterns that need attention.

One-click acceptance. Administrators review recommended updates and publish them directly to the knowledge base without rebuilding or retraining.

Unified dashboard aggregating behavior, fallback rates, escalation volumes, and usage across all assistants and languages in a single view.

The agent gets more accurate over time without manual intervention from your team. Your knowledge managers focus on strategy and governance, not maintenance.

850+ integrations: no rip and replace required

If you are running Genesys (on-premise PureConnect, PureEngage, or cloud), IBM contact centre infrastructure, Five9, Zendesk, Salesforce, or ServiceNow, Encore connects directly. 850+ out-of-the-box integrations ensure your team is not writing custom middleware or waiting months for professional services.

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The workflow automation engine includes a drag-and-drop builder with native connectors for enterprise systems. One interface controls all languages and assistants, so global deployment compresses from months to days.

Enterprise results with Inbenta Encore

OPPLUS (financial services, BBVA)

OPPLUS supports BBVA, one of Spain's largest banks, and deployed Encore's AI customer service agent, knowledge capability, and agent-assist layer across the commercial office network. In 12 months, calls to that network dropped from 71% of all interactions to 11%, an 84% reduction in escalations. Alongside that: 99.09% automated response rate, 100% self-service rate, 86% NPS, and a 60% improvement in cost efficiency.

M&T Bank (financial services)

M&T Bank needed to help 5,000 retail employees and millions of customers adopt new digital products without conventional training closing the gap. Encore deployed across an always-on internal employee hub, in-branch side-by-side demo tools, and a public customer learning site. Results: $2.03M in estimated cost avoidance, 64,000 customers using a new digital feature, 146,000 minutes saved in call and service time, and 11.5M interactive demo pageviews.

GOL Airlines (travel)

GOL handles roughly 2.5M customer questions a month across its site, covering check-in, ticketing, baggage, and booking changes. Its Encore-powered AI customer service agent ("Gal") now deflects 10M+ queries annually, resolves 90% of interactions autonomously, and manages more than 30% of inbound customer emails. 35% of customers now complete check-in through WhatsApp, with 90% rating the service "very good" or "excellent."

FAQs

Common questions about Inbenta's AI customer service agent.

What is an AI customer service agent?

An AI customer service agent is an intelligent system that resolves customer enquiries autonomously across chat, voice, email, and messaging. Unlike basic automation that redirects to FAQ pages, it understands intent, pulls data from backend systems, and completes actions. Encore uses Programmed Intelligence for governed, traceable accuracy.

Which AI agent is safest for customer service?

Safety and auditability are different standards. Encore's AI customer service agent runs on a deterministic, knowledge-first architecture with +98% response accuracy, hallucination controls, and a full audit trail on every interaction. Glass box transparency lets compliance teams trace exactly why the AI gave a specific response.

How does Inbenta's AI customer service agent compare to a human team on resolution rate?

Enterprises running Encore see +35% better first-contact resolution alongside their human teams. AI handles volume, repeatable enquiries, and 24/7 coverage. Humans handle complexity and empathy-heavy interactions. The two work together, with full context handoffs when escalation is needed.

Can Inbenta's AI customer service agent handle multiple languages?

Yes. Encore is optimised for 90+ languages at scale with consistent accuracy across all of them, not machine-translation quality. One interface controls every language and assistant, which matters for global enterprises in regulated industries that need uniform compliance standards across markets.

How long does it take to deploy an AI customer service agent?

Encore deploys +75% faster than traditional solutions. Source content is ingested and converted into governed, ready-to-deploy intents in 30 to 60 minutes. Production-ready in days, not months. Programmed Intelligence and Knowledge Engineering understand intent from day one with no training required.

Does Inbenta work with our existing contact centre infrastructure?

Yes. 850+ enterprise integrations cover Genesys, IBM, Five9, Zendesk, Salesforce, ServiceNow, and more. No rip and replace required. Encore sits alongside your existing stack and enhances it, which removes the single biggest technical objection in enterprise AI evaluations.

How accurate is the AI and how do you prevent hallucinations?

Encore delivers +98% response accuracy because the architecture is knowledge-first and LLM-optional. Answers are retrieved from governed, pre-approved knowledge rather than generated probabilistically, so the risk of fabricated responses is fundamentally smaller than in LLM-first platforms.

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Why Inbenta

The AI customer service agent that resolves, not just responds