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Shortlist by business size

What is the best AI customer service agent for an enterprise?

No agent is the best AI customer service agent for an enterprise, because nobody has tested them against each other. The best-evidenced are Crescendo, Five9 and Genesys Cloud CX: an external source, not the vendor, reports each of them serving an enterprise. 16 of the 22 agents reviewed have any published evidence for an enterprise; for the rest it is unknown, which means nobody has published it, not that the product cannot do it. Nothing here has been tested by this portal, so treat every name below as a shortlist to validate, not a winner.

All shortlists · Markdown record · How this is grouped

An outside source reports it serving this segment

External report10 of 22

A customer, analyst or journalist with no stake in the sale describes the product working here. This is the strongest evidence the portal holds, and it is still somebody else's deployment, not yours.

Listed alphabetically. Position inside a group carries no meaning: these agents are not ranked against each other.

An outside source reports it serving this segment, for an enterprise
AgentWhat puts it hereCustomer workflows with evidence
CrescendoCrescendo2 externally reported, 1 vendor-documented, of 7
Five9Five92 externally reported, 0 vendor-documented, of 7
Genesys Cloud CXGenesys

The Vendr data evidences enterprise-scale adoption of the Genesys Cloud CX platform, not of the AI agent capability specifically.

0 externally reported, 2 vendor-documented, of 7
Kore.aiKore.ai1 externally reported, 1 vendor-documented, of 7
LivePersonLivePerson

The Fortune 100 roster is reported for the combined post-acquisition company, not for LivePerson alone; it indicates large-enterprise orientation rather than LivePerson-only attribution.

0 externally reported, 2 vendor-documented, of 7
NiCE CognigyNiCE1 externally reported, 1 vendor-documented, of 7
NiCE CXoneNiCE3 externally reported, 0 vendor-documented, of 7
PolyAIPolyAI

Gartner's cautions in the same analysis concern inflexible consumption-based pricing and an immature channel partner network.

2 externally reported, 1 vendor-documented, of 7
SprinklrSprinklr1 externally reported, 1 vendor-documented, of 7
Yellow.aiYellow.ai0 externally reported, 2 vendor-documented, of 7

The vendor documents this segment, and nobody else has written about it

Vendor-documented6 of 22

The vendor says it serves this segment. That is a reasonable place to start a shortlist and it is not confirmation, because no independent source has reported on it either way.

Listed alphabetically. Position inside a group carries no meaning: these agents are not ranked against each other.

The vendor documents this segment, and nobody else has written about it, for an enterprise
AgentWhat puts it hereCustomer workflows with evidence
AdaAda

Illustrative buying scenario: a multi-brand support team needs shared knowledge with brand-specific policies and handoff routes. Request a demonstration of those boundaries. Enterprise positioning is documented; successful performance for that configuration is not established here.

0 externally reported, 7 vendor-documented, of 7
AgentforceSalesforce

Illustrative buying scenario: a global support organisation needs customer-specific access across multiple business systems. Request evidence for permissions, routing and language coverage in that configuration. Enterprise positioning alone does not establish successful deployment.

0 externally reported, 7 vendor-documented, of 7
DecagonDecagon

Illustrative buying scenario: several brands share a support operation but use different policies. Evaluate permissions, policy separation, reporting and escalation under that actual structure.

1 externally reported, 6 vendor-documented, of 7
FinIntercom

Illustrative scenario: several brands need different knowledge access and approval rules. Evaluate those boundaries and operational reporting in the planned workspace structure. An enterprise offering does not establish that all data-residency, retention, or approval requirements are met.

0 externally reported, 7 vendor-documented, of 7
SierraSierra

Illustrative buying scenario: multiple business units need separate permissions and policies. Request a demonstration using those boundaries and review the operational and security requirements of the proposed deployment.

0 externally reported, 7 vendor-documented, of 7
Zendesk AI AgentsZendesk

Illustrative scenario: several business units require separate permissions and approval paths. Confirm how those controls apply to the selected AI agent, connected systems, and data. Validate operational boundaries before expanding to sensitive workflows.

1 externally reported, 6 vendor-documented, of 7

A limitation is documented for this segment

Caveat documented0 of 22

A cited source describes a limit or a bad experience here. It sits below vendor documentation because it is not evidence of fit, and above the agents nobody has written about because somebody at least looked. Read the condition: it may not apply to you at all.

No agent in the catalogue is in this group.

Nothing published for this segment

Not established6 of 22

No reviewed source places these agents here, by the vendor's own documentation or otherwise. That is a gap in the public record, not a finding against the products, and several of them may suit you.

Listed alphabetically. Position inside a group carries no meaning: these agents are not ranked against each other.

Every claim behind these groups

Each agent above with evidence for an enterprise, and the claims that placed it, with the source type and the date it was checked.

  • Crescendo

    External report
  • Five9

    External report
    • Five9 positions AI Agents for enterprises, stating customers "deploy at enterprise scale with multi-agent systems, fast natural-language design, and full lifecycle control on one platform."Vendor-reported
      Source
      Five9 AI Agents
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID five9-enterprise-scale
    • CX Today reported that Five9 launched its AI Agents alongside an observability and governance layer covering hallucination detection, prompt-injection detection and completeness scoring with human oversight retained.Independent report
      Source
      Five9 Brings AI Agents to Market With a Shot of Trust and Governance: A Recap
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID five9-governance-layer
  • Genesys Cloud CX

    External report

    The Vendr data evidences enterprise-scale adoption of the Genesys Cloud CX platform, not of the AI agent capability specifically.

    • Genesys promotes deploying AI agents across voice, text, web, social and WhatsApp with a single workbench to build, test and govern them, and cites 2 million Genesys Cloud users and 29 billion real-time conversations annually.Vendor-reported
      Source
      Genesys Cloud
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID genesys-fit-ent-vendor
    • Vendr reports Genesys deployments of 500 or more users exceeding $1 million annually and mid-sized deployments of 100 to 300 users at $150,000 to $400,000 annually.Independent report
      Source
      Genesys Pricing, Cost & Negotiation Guide - Vendr
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID genesys-fit-ent-vendr
  • Kore.ai

    External report
    • Kore.ai documents its agent platform as available both as browser-based cloud SaaS and as a self-hosted on-premises deployment aimed at compliance-driven organisations, with multi-tenancy and horizontal scalability.Vendor-reported
      Source
      Kore.ai Agent Platform documentation
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID kore-ai-fit-enterprise-vendor
    • CX Today reported that Kore.ai's customer base sits in regulated industries such as banking, healthcare and retail, and that in regulated environments the vendor blends probabilistic AI with deterministic rules rather than operating fully autonomously.Independent report
      Source
      Why Kore.ai Thinks AI ROI Finally Has A Clear Path
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID kore-ai-fit-enterprise-cxtoday
  • LivePerson

    External report

    The Fortune 100 roster is reported for the combined post-acquisition company, not for LivePerson alone; it indicates large-enterprise orientation rather than LivePerson-only attribution.

    • LivePerson states the Conversational Cloud platform powers nearly 1 billion conversational interactions each month.Vendor-reported
      Source
      Conversational Cloud — LivePerson
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID liveperson-fit-enterprise-vendor
    • CX Today reported that the combined SoundHound–LivePerson customer base spans more than 30 countries and includes 25 of the Fortune 100, 12 of the top 15 global banks, four of the top five global airlines, four of the top five global automakers and more than 10 global telecommunications providers.Independent report
      Source
      SoundHound's LivePerson Deal Targets the Biggest Omnichannel CX Gap
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID liveperson-fit-enterprise-indep
  • NiCE Cognigy

    External report
    • Cognigy documentation describes the product as an AI customer experience orchestration platform that integrates with any contact center or CRM system.Vendor-reported
      Source
      About Cognigy AI | Cognigy Documentation
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID nice-cognigy-fit-ent-vendor
    • CX Today's analyst deep dive reports Cognigy serves marquee European enterprises including Lufthansa, Mercedes, Allianz and DHL, and cites expected FY26 revenue of $85 million against a $955 million acquisition price.Independent report
      Source
      Why Is NiCE Spending Almost $1BN on Cognigy? A Deep Dive
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID nice-cognigy-fit-ent-ind1
  • NiCE CXone

    External report
    • NiCE positions CXone as an enterprise customer experience AI platform that orchestrates human and AI agents and powers more than 25 billion interactions a year for what it calls the world's leading brands.Vendor-reported
      Source
      CXone Platform
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID nice-cxone-fit-enterprise-vendor
    • CX Today reported enterprise wins for the AI agent products including a university medical centre signing a seven-digit annual contract value deal and a global retailer processing 75 million interactions a year expanding onto CXone Mpower.Independent report
      Source
      Agentic AI Key to Strong NICE Quarter, Hints at AI Agent Release
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID nice-cxone-fit-enterprise-independent
  • PolyAI

    External report

    Gartner's cautions in the same analysis concern inflexible consumption-based pricing and an immature channel partner network.

    • PolyAI positions itself as an enterprise-scale agentic dialog platform and markets to nine industries: consumer services, financial services, healthcare, hotels, insurance, restaurants, retail, telecom and utilities.Vendor-reported
      Source
      PolyAI homepage
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID polyai-enterprise-vendor
    • CX Today reports PolyAI was placed in the 2025 Gartner Magic Quadrant for Conversational AI Platforms as a Niche Player, with Gartner highlighting its low customer churn and research investment.Independent report
      Source
      Gartner Magic Quadrant for Conversational AI Platforms 2025: The Rundown
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID polyai-enterprise-gartner
    • TechCrunch reported PolyAI's customers included FedEx and Marriott alongside dozens of enterprise and government clients handling millions of interactions monthly.Independent report
      Source
      PolyAI lands $40M to handle contact center calls automatically
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID polyai-enterprise-tc-customers
  • Sprinklr

    External report
    • Sprinklr markets its AI Agents to enterprise verticals including telecom, banking, technology, government, e-commerce and travel, with guardrails, PII masking and monitoring dashboards.Vendor-reported
      Source
      Sprinklr AI Agents
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID sprinklr-enterprise-vendor
    • CX Today reports Telefónica Hispanoamérica runs Sprinklr across more than 11,000 agent seats spanning six telcos.Independent report
      Source
      Sprinklr Service and the Shift from AI Explainability to AI Assurance
      Published
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID sprinklr-enterprise-telefonica
  • Yellow.ai

    External report
    • Yellow.ai publishes an Enterprise tier with unlimited agents, unlimited chat sessions, access to all channels and SOC 2, GDPR and ISO compliance, priced by quote.Vendor-reported
      Source
      Yellow.ai pricing
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID yellow-ai-fit-enterprise-vendor
    • A Capterra reviewer reports achieving 50% ticket deflection with 95% customer satisfaction using the platform.Independent report
      Source
      Yellow.ai reviews (Capterra)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID yellow-ai-fit-enterprise-indep-deflection
    • A regional platforms lead in telecommunications reviewing on Capterra cites the platform's core strength in South East Asian regional languages and dialects.Independent report
      Source
      Yellow.ai reviews (Capterra)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID yellow-ai-fit-enterprise-indep-language
  • Ada

    Vendor-documented

    Illustrative buying scenario: a multi-brand support team needs shared knowledge with brand-specific policies and handoff routes. Request a demonstration of those boundaries. Enterprise positioning is documented; successful performance for that configuration is not established here.

    • Ada’s demo page explicitly targets enterprise customer-experience teams and proposes a tailored demonstration and implementation plan.Vendor-reported
      Source
      Book a demo (Ada)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID ada-fit-enterprise-vendor
  • Agentforce

    Vendor-documented

    Illustrative buying scenario: a global support organisation needs customer-specific access across multiple business systems. Request evidence for permissions, routing and language coverage in that configuration. Enterprise positioning alone does not establish successful deployment.

    • Salesforce positions Agentforce for enterprise-scale support and documents building agents with its platform tools and integrations.Vendor-reported
      Source
      Agentforce platform (Salesforce)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID agentforce-fit-enterprise-vendor
  • Decagon

    Vendor-documented

    Illustrative buying scenario: several brands share a support operation but use different policies. Evaluate permissions, policy separation, reporting and escalation under that actual structure.

    • Decagon publishes customer stories for companies including Chime, Notion and Rippling. These are vendor-published examples of enterprise use, not independent confirmation of every security, scale or workflow requirement.Vendor-reported
      Source
      Customer stories (Decagon)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID decagon-fit-ent-vendor
  • Fin

    Vendor-documented

    Illustrative scenario: several brands need different knowledge access and approval rules. Evaluate those boundaries and operational reporting in the planned workspace structure. An enterprise offering does not establish that all data-residency, retention, or approval requirements are met.

    • Fin markets an enterprise offering with workspace permission controls, activity logs, deployment services, and integrations with existing help desks.Vendor-reported
      Source
      Fin for enterprise
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID fin-enterprise-vendor
  • Sierra

    Vendor-documented

    Illustrative buying scenario: multiple business units need separate permissions and policies. Request a demonstration using those boundaries and review the operational and security requirements of the proposed deployment.

    • Sierra publishes customer stories for AOL, Minted and Ramp, including connected service workflows. These are vendor-published deployment examples, not proof that every enterprise requirement is met.Vendor-reported
      Source
      Customer stories and examples (Sierra)
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID sierra-enterprise-vendor
  • Zendesk AI Agents

    Vendor-documented

    Illustrative scenario: several business units require separate permissions and approval paths. Confirm how those controls apply to the selected AI agent, connected systems, and data. Validate operational boundaries before expanding to sensitive workflows.

    • Zendesk lists enterprise options with approval workflows, sandbox access, and custom roles. These are package capabilities, not a guarantee that every AI workflow meets enterprise requirements.Vendor-reported
      Source
      Zendesk plans and AI agent availability
      Checked
      History
      First published
      Correct this
      Request a correction with a public source. Claim ID zendesk-fit-enterprise-vendor

How these groups are formed

  1. Agents are grouped by what the cited sources establish for this segment, not scored against each other.
  2. An outside source reporting the product in this segment comes first, then the vendor's own documentation, then a documented limitation, then silence.
  3. Within a group the order is alphabetical, because the evidence does not support ranking one against another.
  4. No agent is dropped: the ones with nothing published are named too.

Groups are derived from the cited claims at build time and describe the evidence, not the products. Nothing here has been tested, so a higher group means more has been established about an agent in this segment, not that it performs better. An agent can be well suited to you and sit in the last group simply because nobody has written about it. Published review-site ratings do not order these groups either: where a record carries one it is cited on the profile, but those ratings score whole products against each other — one vendor's bundled chat widget against another's full help desk — and none of them measures the AI agent on its own.

The methodology page explains why the portal groups evidence rather than scoring products.

Other shortlists

Facts last checked . No agent on this page has been tested by this portal.