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Buyer guide

Customer service AI agents with auditable support workflows

Customer-facing agents need a stricter evaluation than internal tools. Buyers should compare channel coverage, escalation controls, brand policy, customer sentiment, quality scoring, and system-of-record permissions before deploying support automation.

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SupportUnclaimed

Sierra

Enterprise customer experience agent platform

Large support and CX teams deploying customer-facing agents across chat, SMS, WhatsApp, email, voice, and ChatGPT.

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SupportUnclaimed

Decagon

Conversational AI for customer experience

CX teams evaluating human-like customer support agents with actions, quality monitoring, and business-system integrations.

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Buyer checklist

Run the same ticket or conversation set across each agent before comparing demos.
Check escalation paths, human handoff rules, and fallback behavior for angry or confused customers.
Review what actions the agent can take inside CRM, helpdesk, billing, and order systems.
Require quality scoring, trace visibility, and sampled transcript review before launch.
Confirm brand policy, compliance boundaries, and channel-specific behavior.

Proof to request

Escalation accuracyQA samplesCSAT impactDeflection rateAction audit logs
Comparison pages

Start with a real buyer question

Support agents

Sierra vs Decagon

Which platform should own customer-facing support actions and escalations?

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