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AI ORCHESTRATION

One governed platform for every agent, workflow and audit.

One governed platform for every agent, workflow and audit.

One governed platform for every agent, workflow and audit.

Encore brings your agents, knowledge sources, integrations, and workflows onto one platform. Every answer traces to a governed source. Every decision is auditable end-to-end. Resolve real customer interactions with the speed and accuracy that regulated industries depend on.

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THE PROBLEM

When your AI tools don't coordinate, your customers notice.

When your AI tools don't coordinate, your customers notice.

When your AI tools don't coordinate, your customers notice.

For your CX operations team

The team that owns customer-facing AI is not the team that owns the integrations, the knowledge base, or the back-office workflows. Every change means coordinating across teams who each own pieces of a system that no one owns end-to-end.

For your compliance team

Each AI capability has its own audit trail. The handoffs between them are opaque. When a regulator asks why a customer received a specific response, the answer is spread across multiple systems with incompatible logs.

For your technical team

Each new AI capability has its own knowledge base, its own integration pattern, and its own governance regime. The orchestration layer that should hold them together doesn’t exist, and building one in-house means owning a maintenance backlog that grows with every new AI capability you add.
THE ARCHITECTURE

How Encore's AI Orchestration works.

Encore's AI Orchestration is built on a Knowledge-First architecture: source content ingested and structured into governed knowledge, retrieved deterministically through Programmed Intelligence, and executed across the systems your contact center already runs.

Universal Data Ingestion

This is where governed knowledge starts. Encore ingests websites, documents, audio, video, and authenticated content across formats, then converts this source content into governed, deployment-ready intents in 30 to 60 minutes. No data migration project. No labeling pipeline. No engineering needed.
→ Universal Data Ingestion

Knowledge Structuring

Where ingested content becomes governed knowledge. Content is structured into intents at the Knowledge Engineering layer — tagged, indexed, and made retrievable, so every AI agent and channel reads from the same source of truth. Content is organized by intent and meaning so the AI matches what your customer is asking, not what the document is called.
→ Knowledge Structuring

Intelligent Knowledge Management

Where governed knowledge stays current. Encore monitors real interactions, surfaces content gaps, flags outdated answers, and recommends updates that knowledge owners can publish with one approval. As a result, your knowledge base doesn’t decay. The AI improves over time without dedicated maintenance from your team.
→ Intelligent Knowledge Management

Integration and Automation

Where governed knowledge meets your existing stack. Encore connects to the systems your contact center already runs through 850+ pre-built integrations — Genesys, Salesforce, IBM, ServiceNow, Zendesk, and the rest of your enterprise stack. The AI does not replace your contact center infrastructure. It coordinates the systems already in place into a single governed flow.
→ Integration and Automation

Enterprise Workflow Automation

Where governed knowledge becomes resolution. AI agents do more than answer — they verify accounts, retrieve data, trigger actions, and write back to the system of record, all within governed policy guardrails. The workflow is auditable from intent to execution. Every step is traceable.
→ Enterprise Workflow Automation
WHY IT HOLDS

Knowledge-first. Not model-first.

Knowledge-first. Not model-first.

Knowledge-first. Not model-first.

Most multi-agent and orchestration platforms are LLM-first: every agent generates probabilistically at runtime, so every handoff is a new chance for an error to enter the chain. Errors compound. By the time a multi-step workflow finishes, the answer the customer receives may bear little resemblance to the source of truth — and there is no clean way to trace where the drift started.

Encore is built differently: Knowledge-first, LLM-optional. Every agent in the orchestration draws from the same governed Knowledge Engineering layer. Programmed Intelligence governs how agents coordinate, hand off, and escalate, with every decision traceable to the source content. A multi-step interaction resolves with the same +98% accuracy as a single-step one, because every step is reading from the same verified source.

Encore is also model-agnostic by design. The underlying LLM can change without changing the answer your customer gets, because the answer wasn’t generated by the model — it was retrieved from the governed knowledge layer.

THE GLASS BOX

Every orchestration decision is auditable.

Every orchestration decision is auditable.

Every orchestration decision is auditable.

Safe means the AI will not cause harm. Auditable means a regulator, a CISO, or a Chief Risk Officer can examine why the orchestration produced a specific outcome and get a complete answer.

Every agent action, decision path, and data source traces to its governed source in the Knowledge Engineering layer. Role-based access controls separate compliance, CX, and IT scopes. Configurable data residency meets regional regulatory requirements. And each step is governed by Programmed Intelligence. The AI cannot go off-script because it wasn’t scripted in the first place — it was retrieved.

PROOF IN PRODUCTION

Built on twenty years of governed AI in regulated industries.

Built on twenty years of governed AI in regulated industries.

Built on twenty years of governed AI in regulated industries.

Inbenta has built a two-decade history of running coordinated AI in regulated environments — the same engineering DNA Encore is built on.

What this means in practice:
$2M+ saved
Digital adoption transformed across self-service channels in one of the most regulated financial services environments.
84% reduction in escalations
Coordinated AI eliminating four out of every five escalations to human agents — without sacrificing the audit trail customers in regulated industries depend on.
10M+ queries resolved annually
Governed orchestration handling enterprise-scale customer query volume across channels, languages, and workflows.
Metrics

See your AI agents, workflows, and data running on one governed platform.

The Inbenta team maps Encore's orchestration layer onto your existing AI capabilities, knowledge sources, and contact center stack. You leave with a credible architecture path from where you are today to governed, production-ready coordination — with no rip-and-replace required.
Days
Skip the months-long path to production-ready
+50%
Overhead Cost Reduction
850+
Pre-built integrations

FAQs

FAQs

FAQs

Common questions about AI orchestration.

What is AI orchestration?

AI orchestration is the layer of an enterprise AI platform that coordinates multiple AI agents, knowledge sources, models, and systems so they work together as one governed experience. Done well, it produces accurate, auditable, end-to-end resolution.

How is AI orchestration different from a workflow builder or LLM chaining tool?

A workflow builder sequences steps. An LLM chaining tool sequences model calls. Neither one governs what happens between the steps. AI orchestration coordinates governed AI agents, knowledge sources, and integrations as a single architecture, so the answer at step five traces to the same governed source as the answer at step one. Encore is built for that standard. Most orchestration tools are not.

What is agentic AI orchestration, and how does it work in regulated CX?

Agentic AI orchestration coordinates autonomous AI agents — each capable of taking action — through one governance layer. In regulated CX, this matters because every agent action becomes a potential compliance event. Encore's Programmed Intelligence governs how agents coordinate, hand off, and escalate. Every decision traces to the governed Knowledge Engineering layer. Agentic capability without the audit trail is a liability.

Does AI Orchestration work with our existing CRM, CCaaS, and contact center stack?

Yes. Encore connects to 850+ pre-built integrations covering Genesys, Salesforce, IBM, ServiceNow, Zendesk, and the rest of the enterprise stack. The AI does not replace your contact center infrastructure — it coordinates what you already run into a single governed flow. No rip-and-replace.

How does Encore prevent hallucinations across multi-agent orchestration?

Encore is knowledge-first, LLM-agnostic. Every agent in the orchestration retrieves from the same governed Knowledge Engineering layer rather than generating answers at runtime. Programmed Intelligence governs each handoff. A multi-step workflow resolves with +98% accuracy because every step reads from the same verified source.

Is Encore's AI Orchestration suitable for regulated industries?

Encore was purpose-built for regulated industries. The architecture maps to CFPB, EU AI Act, SOC1, SOC2, and HIPAA auditability requirements. Every orchestration decision traces to its governed source. Our production deployments include some of the most regulated financial services and healthcare environments in operation today.

How long does it take to deploy AI Orchestration?

Source content is ingested and converted into governed intents in 30 to 60 minutes. Initial deployment runs in days, not months — typically +75% faster than alternatives. The orchestration layer integrates with your existing stack rather than replacing it.

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