Verint Da Vinci™ AI
Power your AI agents with an open approach to AI, built on CX-specific intelligence and flexible enough to work with the models you choose.
Verint Agent Factory is the AI orchestration environment to build, govern, and scale a hybrid workforce of human and AI agents with outcomes you can measure. Move from isolated AI experiments to coordinated, production-ready AI workflows.
A hotel chain increased containment by 60% across 14 million voice and digital interactions with Verint Conversational AI Agents.
Combine prebuilt and custom AI agents with Verint applications, Da Vinci services, and your own data. Connect them to real CX workflows, and route to humans when judgment is needed – with prompt management, model governance, and data connectivity built in.
Centralize control of your prompts, models, and data to apply policy guardrails across every workflow – so you can adopt agentic AI safely, observably, and compliantly at enterprise scale.
Start with a single focused use case, layer agentic orchestration onto the stack you already run, and expand at your own pace – with no rip-and-replace, deployment measured in weeks, and outcomes you can prove.
Without anorchestration layer, AI agents can’t collaborate, share context, or scale – leaving automation fragmented and ROI unmeasured.Verint Agent Factory is the AI agent orchestration environment that lets enterprises build, configure, and manage workflows across AI agents, human agents, Verint applications, and Da Vinci services.
Start with prebuilt agents for common CX use cases, create your own custom agentic AI agents, connect them to your data and workflows, and add human handoffs wherever judgment matters – all governed within a single platform.
Integrated across the Verint CX Automation Platform, Agent Factory turns AI experiments into coordinated, production-ready workflows that deliver faster CSAT improvement, lower cost, and stronger compliance.
Integrated across the Verint CX Automation Platform and third-party sources. Use interaction data from the CX Data Hub so every step of a workflow works from the same context. Reach third-party systems, tools, and agents through Model Context Protocol (MCP), Agent2Agent (A2A), and Agent Communication Protocol (ACP), the protocols that let agents and tools from different vendors work together. Governance controls help you adopt agentic AI safely at enterprise scale.
An agent orchestration layer connects your AI agents, applications, services, and data into workflows that run as one. Without it, each tool works alone.
Most contact centers already run AI in pockets: a virtual agent in self-service, a copilot on the agent desktop, and knowledge assistant. Without an orchestration layer between them, each one works in isolation. Context is lost at every handoff, prompts and models are governed tool by tool, and no one can see how the end-to-end journey performs.
An agentic orchestration layer sits between your AI models and data and the agents, applications, and services that use them. It decides which agent or services handles each step, passes shared context from one to the next, applies the same guardrails everywhere, and brings in a human when judgment is needed.
Customer issues, and the work behind them, rarely fit inside a single bot or flow. Verint Agent Factory coordinates AI agents, people, Verint applications, and Da Vinci services within one governed workflow:
The Verint CX Automation Platform helps contact centers automate CX workflows and deliver measurable outcomes — fast. Built to run on your existing infrastructure, it integrates with any CCaaS, CRM, or AI model, eliminating rip-and-replace and accelerating time to value.
Powered by a shared CX Data Hub and Verint Da Vinci™ AI, the platform learns from every interaction to drive smarter automation across self-service, agent support, analytics, quality, and workforce engagement.
Power your AI agents with an open approach to AI, built on CX-specific intelligence and flexible enough to work with the models you choose.
Unify customer engagement data across the enterprise to give your AI and analytics a trusted foundation for every CX decision.
Agentic AI that autonomously resolves customer interactions across voice and digital channels.
In-the-moment AI assistance that automates manual tasks and helps double agent capacity.
A consistent, accurate source of truth for both humans and AI agents.
An omnichannel agent desktop to increase agent capacity with AI-powered workflows.
Verint Agent Factory is an AI orchestration environment for CX. It lets enterprises build, configure, and govern workflows that combine AI agents, human agents, Verint applications, Da Vinci services, and interaction data. Teams use it to move from isolated AI experiments to coordinated, production-ready workflows.
You can build workflows that combine prebuilt and custom AI agents with human handoffs, Verint applications, and Da Vinci services. Self-service and agent assist are common starting points, but Agent Factory isn’t limited to them. Workflows can draw on interaction data from the CX Data Hub and connect to third-party tools and agents through MCP, A2A, and ACP.
Agent Factory gives access to leading AI models from providers such as OpenAI, Google Gemini, Anthropic, and Meta Llama, and you can bring your own. All models are configured and managed in a single environment.
No. Agent Factory is integrated across the Verint Open Platform and connects to third-party data sources, so you can start with a focused use case and expand over time without a rip-and-replace project.
Agent Factory centralizes governance of prompts, models, and data, with controls and guardrails designed to enable safe adoption of agentic AI at enterprise scale, plus human handoff when oversight is required.
AI agent orchestration is the coordination of multiple AI agents – and the human agents who work alongside them – so they can share context, hand off tasks, and complete end-to-end workflows under one set of rules. In the contact center, an orchestration platform like Verint Agent Factory governs how AI agents operate, controlling which data each agent can access and using the Model Context Protocol (MCP) to connect agents to enterprise systems in a standardized, secure way.
Multi-agent orchestration is an approach in which several specialized AI agents work together on one task, each handling the part it does best (authentication, account lookup, or resolution, for example), coordinated by an orchestration layer that manages routing, shared context, and escalation. Agent Factory, in effect, serves as multi-agent orchestration software, orchestrating Verint Conversational AI Agents, custom AI agents, and human agents within the same workflow.
An agent orchestration layer sits between your AI models and data and the agents and channels customers interact with. It governs how agents collaborate, what data they can access, which prompts and models they use, and when to involve a human. Without one, AI agents operate in silos, which limits scale and makes ROI hard to measure.
Improving customer experience with AI orchestration solutions comes down to making every AI agent and human agent work as one team. Instead of separate bots that lose context at each handoff, an orchestration platform like Verint Agent Factory routes each step of an interaction to the right agent and passes the full conversation history along the way. When judgment is needed, it brings in a human agent who already has that context. Customers don’t repeat themselves, more issues are resolved on the first contact, and the same guardrails apply across every interaction. Because Agent Factory works on top of the systems you already run, you can start with one workflow and expand once results are proven.
No. Virtual agents and agent assist are common starting points, but Agent Factory is an orchestration environment for broader CX workflows. It can coordinate multiple Verint applications, Da Vinci services, interaction data, and external tools alongside AI and human agents.