Agentic Index
NICE CXone vs Webex AI Agent (2026)
Both are AI agents sold by the contact center platform they run inside, so the choice usually follows the platform. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
NiCE CXone builds agents in Mpower AI Studio from prompts that state the outcome, runs them on NiCE's own Enlighten models with Cognigy reasoning at the core, and reaches past the front line into middle office approvals and back office fulfillment, with Guardian AI governing agents in production and FedRAMP Moderate among its certifications. Webex AI Agent is Cisco's add on for Webex Contact Center and the Unified CCE family. Autonomous agents work toward a goal with up to ten actions, including MCP tools and Webex Connect flows, scripted agents handle tightly defined tasks, and contact center data stays in one of eight regions. Choose NiCE CXone for a broad CX platform with deep certifications and agents that reach into back office work, and Webex AI Agent when Cisco telephony and routing already carry your calls.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. NICE CXone and Webex AI Agent are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose NICE CXone if
- Agents should complete journeys that run through middle office approvals and back office fulfillment, not just the front line.
- Your buyers ask for FedRAMP Moderate, HITRUST or PCI Level 1 attested for each cluster.
- Supervisors should review AI interactions with quality plans that sample conversations and route them to evaluators.
- Copilot guidance for human agents and Autopilot self service should come from the same platform.
- A dedicated governance layer, Guardian AI, should watch agents for compliance once they are live.
Choose Webex AI Agent if
- Your calls already run on Webex Contact Center, Unified CCE or Packaged CCE.
- Agents should call outside tools through MCP with OAuth2 client credentials, an API key or custom headers.
- Contact center data has to stay in one of eight regions, including Canada, Japan, Singapore or India.
- Scripted agents and autonomous agents should sit side by side, with custom transfers between them.
- Every change to an agent should be saved as a version, with a searchable log of who changed what and when.
| Feature | N NICE CXone |
W Webex AI Agent |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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NICE CXoneIntegrations & Tool Calling Agents reach external systems through the platform's own REST APIs and Studio actions and connect to Salesforce, SharePoint, Zendesk and Confluence among other systems. Virtual Agent Hub connects third-party virtual agent providers including Omilia and Amelia, with their credentials held in the hub. Mpower agents move across systems and trigger actions in front, middle and back office applications, not only in the contact center. Sourcenice.com/products/cxoneread 2026-09-05 |
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Webex AI AgentIntegrations & Tool Calling Each autonomous agent carries up to ten actions. MCP client actions connect outside tools and authenticate with OAuth2 client credentials, an API key or custom headers, and each tool run is logged as a success or failure. Fulfillment actions run Webex Connect Flow Builder flows, the route by which an agent reaches back office and CRM systems through Cisco's integration layer, and custom transfer actions route to another AI agent, a person, voicemail or a hunt group. Input entities the action needs are defined in a table or a JSON schema and filled from the conversation. MCP actions cannot be edited once created, so a change means a new action. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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NICE CXoneWorkflow Orchestration Mpower agents are generated in AI Studio from outcome-based no-code prompts and run inside orchestrated workflows spanning front, middle and back office. They move across systems, trigger actions and work alongside humans and other AI agents to complete journeys such as claims processing and refund approval rather than single conversations. Underneath, Studio scripts, routing queues and skills carry deterministic call and case flow, with Virtual Agent Hub arbitrating handoff between bots and live agents. Sourcenice.com/press-releases/nice-launches-cxone-mpower-agents-enterprise-grade-agentic-ai-agents-built-for-cx-to-deliver-automated-fulfillmentread 2026-09-05 |
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Webex AI AgentWorkflow Orchestration An autonomous agent works toward a goal written as instructions, deciding from the conversation which of its actions to run and collecting the inputs each needs, while multistep back office work runs in Webex Connect Flow Builder flows the agent calls, with a fulfillment timeout set between 10 and 30 seconds. Custom transfers pass a conversation from one AI agent to another or to a person, announced or silent, so a team can split work across specialist agents. Scripted agents follow defined rules for structured tasks alongside them, and a tenant can hold up to 100 agents of both kinds. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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NICE CXoneTriggers & Channel Coverage Autopilot runs as a voice virtual agent over the contact center's telephony and as a text virtual agent across chat-based digital channels, with Digital Experience carrying the digital channel set, Studio points of contact routing each channel to a script, and the proactive agent reaching customers over voice, SMS, WhatsApp, email and chat. Work also arrives from routing queues and digital skills that assign incoming cases to a bot's inbox. Sourcehelp.nicecxone.com/content/autopilot/autopilot.htmread 2026-09-05 |
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Webex AI AgentTriggers & Channel Coverage Calls and digital chats reach the agent through the contact center's own entry points and routing, in Webex Contact Center, Webex Contact Center Enterprise, Unified CCE, Packaged CCE and, in an alpha release, Unified CCX. Digital agents come with the voice subscription order, and Webex Connect Flow Builder hands chats to an agent through its Virtual Agent V2 activity. The agent answers before a customer reaches a person and hands back into the same queues. On voice, callers can interrupt the agent mid reply, and a session closes after three prompts in a row go unanswered. Cisco names voice and chat as the channels, without SMS or WhatsApp. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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NICE CXoneKnowledge Grounding & RAG The platform's maintained knowledge layer is Knowledge Hub. Autopilot connects through it to CXone Mpower Expert or any third-party knowledge base and answers from the articles, returning composed responses, embedded links and images, and Autopilot Knowledge wires Bot Builder bots directly into Expert knowledge bases. CXone connects to Salesforce, SharePoint, Zendesk and Confluence as knowledge sources, so agents and people work from the same content. This is a structure NiCE maintains over the customer's corpus. Sourcehelp.nicecxone.com/content/autopilot/autopilot.htmread 2026-09-05 |
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Webex AI AgentKnowledge Grounding & RAG Knowledge bases take files such as PDFs, Word documents, Excel workbooks and CSV files, written articles and website crawls, up to 2GB and 100 files per knowledge base, 10MB per file and 300 pages per PDF, and one knowledge base can serve several agents. A crawl reaches up to 250 pages at a depth of up to two links, across up to 10 URL patterns and 10 subdomains, and spreadsheets can hold up to 3,000,000 characters. Web sources show a syncing status while content is extracted, and with content approval on, a sync waits as pending approval until someone approves or declines the changes. Payment card, personal and health data are meant to stay out of knowledge bases. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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NICE CXoneMemory & State Persistence The platform names a memory component, Experience Memory, without describing its shape. It sits alongside APIs, Knowledge, Channels and Enlighten Models in the CXone Mpower ecosystem that Mpower Agents tap into, so persistence is separate from the knowledge corpus. The Proactive AI Agent manages continuous journeys over several days or weeks, and millions of simultaneous customer journeys, without losing context. That context carries across sessions. NiCE gives no scope, lifetime, retention window or deletion control for Experience Memory, so a customer cannot tell what is retained or for how long. Sourcenice.com/press-releases/nice-launches-cxone-mpower-agents-enterprise-grade-agentic-ai-agents-built-for-cx-to-deliver-automated-fulfillmentread 2026-09-05 |
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Webex AI AgentMemory & State Persistence Within a conversation the agent fills input entities and keeps them for its actions, and global variables pass values into reports. Each session starts fresh. The studio keeps no memory that carries what a customer said in one conversation into the next, and transcripts are purged automatically after 90 days. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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NICE CXoneHuman Oversight & Guardrails Conversation guardrails from NiCE prevent excessive communication or miscommunication and enforce compliance with data privacy and industry regulation, applied before outreach rather than reviewed afterwards, and brand-specific guardrails can be configured. Autopilot virtual agents resolve autonomously but transfer to a live agent when the contact needs one, with the platform waiting on a completion or transfer signal, and Mpower Copilot carries the human side with dedicated versions for agents, supervisors and administrators. Sourcenice.com/press-releases/nice-launches-cxone-mpower-agents-enterprise-grade-agentic-ai-agents-built-for-cx-to-deliver-automated-fulfillmentread 2026-09-05 |
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Webex AI AgentHuman Oversight & Guardrails Agent handover to a human is on by default for every autonomous agent, and custom transfers send callers to a person, a queue or voicemail. Built in guardrails keep the agent from unethical or harmful replies, the instruction optimizer tones down abusive or overly strong wording for the team to accept or discard, and knowledge syncs can be held for a person to approve. EU deployments show an AI transparency notice by default, and previews can show it too. No person approves an individual action before it runs. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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NICE CXoneSecurity, Identity & Governance Certifications include SOC 2 Type II and HITRUST for HIPAA, ISO 27001, PCI Level 1 attestation maintained for each cluster, FedRAMP ATO at the Moderate baseline and Sarbanes-Oxley 404 for the parent, plus BAA and GDPR DPA. Customer-facing controls include a tenant RBAC model with segregation of duties, multi-factor authentication, SSO, file integrity monitoring and customer-managed private keys, backed by annual third-party penetration testing, quarterly network scans and a 24x7 security operations center. Sourcehelp.nice-incontact.com/content/globalfeatures/tsa/securitylayers/securitylayers.htmread 2026-09-05 |
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Webex AI AgentSecurity, Identity & Governance Five administrator roles, full, contact center service, provisioning, read only and supervisor, govern AI Agent Studio through Control Hub or Webex Connect, and custom roles can carry narrower permissions such as viewing the audit log. Transcript access is off by default until a full administrator grants decryption through the enterprise profile, tenant encryption keys sit in a key management service, no Cisco employee accesses raw audio or text during inference, and recording playback switches off when payment card data is detected. Webex as a whole holds ISO/IEC 27001 certification and supports HIPAA and GDPR use, but no certification is tied to AI Agent itself, and MCP actions do not support group level access control. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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NICE CXoneObservability & Auditability Interactions are recorded with metadata in CXone Mpower, and a Data Extraction API pulls recording interaction metadata, quality management workflow data and QM question-and-answer data for external reporting, each behind its own named permission, alongside prebuilt QM and business intelligence reports with drill-down and export. Quality Management for CRM Ticketing surfaces every interaction related to a ticket together with agent and system-generated comments. What can be reconstructed is the conversation and its quality assessment, not the AI agent's own run, and there is no step-level decision trace, tool-call log or retrieval record. An Interactions Journey Summary view showing an entire interaction journey with segments, transfers, transcript and QM insights is announced for the 25.4 release but not yet shipped. Sourcehelp.nicecxone.com/content/recording/dataextractionapi.htmread 2026-09-05 |
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Webex AI AgentObservability & Auditability Session lists and session details show each conversation an agent handled, filtered by test sessions, handovers, errors or downvoted replies, and MCP tool runs record success or failure. Analytics count sessions, sessions resolved with no human involved, handovers, messages and users, each with daily averages, and custom reports cover AI agent call records and outcome distribution, with scripted agents adding views for training, responses and curation. Each publish saves a version, and change logs record who changed what, where and when, searchable by admins, AI agent developers and custom roles with audit log access. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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NICE CXoneDeployment & Data Residency The platform runs from geographically diverse data centers as independent regional clusters, with PCI Level 1 attestation maintained separately for each cluster and tenant endpoints scoped by region. NiCE states multi-region performance and support for sovereign data requirements alongside GDPR and FedRAMP, and the Agent SDK is available in all regions. Customers get no published menu of selectable regions and no published residency commitment. Sourcehelp.nice-incontact.com/content/globalfeatures/tsa/securitylayers/securitylayers.htmread 2026-09-05 |
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Webex AI AgentDeployment & Data Residency Contact center data is stored in one of eight regions, the United States, the United Kingdom, the European Union, Canada, Japan, Australia, Singapore and India, and Webex AI Pro US and Europe engines serve customers in the US and the EU. GPU based model and speech processing can run outside the home region, Azure OpenAI runs globally for several regions, and EU inference stays in the EU even during failover. Cisco's residency tables disagree with each other in places, so exact processing locations outside the EU carry some uncertainty. Sourcehelp.webex.com/en-us/article/9qrsly/data-security,-privacy,-and-residency-in-webex-contact-centerread 2026-10-11 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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NICE CXonePrebuilt Agents, Templates & Packs AI agents are generated in minutes in Mpower AI Studio from outcome-based, no-code conversational prompts, drawing on the platform's APIs, Knowledge, Experience Memory, Channels and Enlighten Models, with vibe-coding letting business users tailor an agent's personality and communication style, and prebuilt integrations supplied alongside. Agents are generated from a prompt, and NiCE offers no catalog of prebuilt agents for the customer to browse and put into service. A reseller page claims more than thirty pre-configured industry AI agents for financial services, healthcare, utilities and telecommunications, but NiCE itself publishes no such catalog. Sourcenice.com/resources/cxone-mpower-agents-ai-agents-built-for-cxread 2026-09-05 |
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Webex AI AgentPrebuilt Agents, Templates & Packs A new AI agent starts from scratch or from a predefined template, for scripted and autonomous agents alike, and a tenant holds up to 100 agents across both types. Each agent's details export as JSON. Cisco does not name the templates outside the studio itself. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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NICE CXoneModel Flexibility & Routing Proprietary Enlighten CX models trained on NiCE's own interaction corpus run Mpower agents, with Cognigy reasoning at the core after the latest platform refresh, and NiCE hosts models on AWS through an expanded Bedrock partnership. NiCE makes the selection itself, and there is no customer or admin model choice, routing control or bring-your-own-model path. Bedrock hosting of NiCE's models is infrastructure, not a customer choice of model. Sourcenice.com/press-releases/nice-launches-cxone-mpower-agents-enterprise-grade-agentic-ai-agents-built-for-cx-to-deliver-automated-fulfillmentread 2026-09-05 |
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Webex AI AgentModel Flexibility & Routing Each agent runs on an AI engine the team picks from the Webex AI Pro family, with standard, US and Europe variants in 1.0 and 2.0 versions and the 1.0 engines due for deprecation. Pro 2.0 handles multilingual contact centers, while the US and Europe engines are English only, and scripted agents run on Webex AI Agent Pro engines with Swiftmatch. The engines are Cisco's own packaging over models that include Azure OpenAI, and a team cannot pick a model provider directly. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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NICE CXoneAPIs, SDKs & MCP Extensibility A public developer portal covers REST APIs grouped by function, including authentication, admin, agent sessions, digital engagement, media playback, business data and data extraction, testable in the portal against a live tenant, with OAuth 2.0 and a registration path for independent software vendors building multi-tenant apps. A TypeScript Agent SDK ships on npm and GitHub across ACD, Agent, Auth, Digital and Voice packages, and NiCE says it exposes the same APIs it uses for its own product development at no additional cost. Sourcedeveloper.niceincontact.com/apiread 2026-09-05 |
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Webex AI AgentAPIs, SDKs & MCP Extensibility Webex for Developers carries Webex Contact Center APIs and a web SDK for contact center applications. Agents themselves are built, tested and published inside the studio, with each agent's details exportable as JSON, and the MCP support in the studio points outward to other tools. Sourcedeveloper.webex.com/webex-contact-center/docs/webex-contact-centerread 2026-10-11 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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NICE CXoneTesting, Debugging & Optimization A scored evaluation program runs over live interactions. Quality Planner creates quality plans that sample interactions against filters the customer defines, route them to named evaluators and score them against an attached evaluation form, with calibrations and self-assessments alongside and prebuilt QM and business intelligence reports carrying the results. Quality Management Premium adds behavior performance indicators across all interactions. This is quality assurance after the fact over a sample. Neither Autopilot nor Mpower AI Studio has a prerelease test surface, a simulation environment or a scored evaluation of a proposed agent change before customers see it, and NiCE does not say whether AI agents, rather than human agents, are what gets evaluated. Sourcehelp.nicecxone.com/content/qmanalytics/qp/qualityplanner.htmread 2026-09-05 |
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Webex AI AgentTesting, Debugging & Optimization Agents can be previewed at creation, while being edited and after deployment, through a preview widget, a chat preview or a voice preview, with voice preview available through Control Hub. The Sessions page separates test sessions from live ones and filters handovers, errors and downvoted replies, and scripted agents have their own test and curation views in analytics. Autonomous agents have no saved test cases with pass or fail results. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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NICE CXoneBrowser & Computer Use NiCE has long sold a robotic process automation line, NiCE RPA, that drives desktop applications, but it does not say whether desktop automation ships as part of CXone Mpower or as a separate product bought alongside. Across Mpower Agents, the Proactive AI Agent, Autopilot, Quality Management and the Data Extraction API, action runs through APIs, integrations and channels. |
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Webex AI AgentBrowser & Computer Use Agents act through MCP tools, Webex Connect flows and transfers, and website crawls feed knowledge bases when content is added. No hosted browser, remote desktop or screen control is part of the studio. Voice agents collect keypad entries from callers, with digit timeouts and lengths of up to 32 characters, but never drive another system's screen. Sourcehelp.webex.com/en-us/article/ncs9r37/webex-ai-agent-studio-administration-guideread 2026-10-11 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | N NICE CXone |
W Webex AI Agent |
|---|---|---|
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Entry price Lowest public entry point |
Custom quote through sales. No price is published. | No public price. AI Agent is an add on to the Webex Contact Center Flex 3.0 license, or ordered through Cisco Commerce Workspace for Webex Contact Center Enterprise and Cisco's Unified contact centers. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
Agent seats plus usage in voice minutes, interactions and AI. | An add on to the contact center license, metered in a unit Cisco does not disclose. |
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Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
Webex AI Agent is a Cisco product and NiCE CXone is NiCE's flagship platform. NiCE acquired Cognigy in 2025 and places Cognigy's reasoning at the core of CXone Mpower. Neither lists prices publicly. Cisco notes that model and speech processing can run outside the chosen region for customers outside the EU.
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