Cresta vs Decagon

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-05
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Cresta or Decagon: which should you choose?

DimensionCrestaDecagon
PricingCustom pricingCustom pricing
Best forLarge contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom, Enterprises cutting cost-to-serve without dropping CSAT or agent retentionLarge enterprises in retail, travel, financial services, healthcare, technology, media, telecom, or insurance, CX teams that want to change agent behavior in plain English instead of waiting on engineering sprints
Standout featuresAI Agent: autonomously handles multi-step customer conversations end to end · Deputy Agent: long-running agent automating work from intent to completion across channels · Agentic Assist: real-time generative guidance for live human conversationsAgent Operating Procedures (AOPs) define agent workflows in natural language · Duet analyzes real conversations and generates, tests, and refines AOPs · Duet Autopilot runs self-improving agents with production governance controls
Viability score78/10069/100
APIYesYes

Cresta is the stronger pick for large contact centers in regulated sectors — financial services, insurance, healthcare, airlines, telecom; Decagon fits better for large enterprises in retail, travel, financial services, healthcare, technology, media, telecom, or insurance.

Built from live tool data, last verified 2026-11-05.

Cresta
Cresta

Cresta is the AI operating system for contact centers, pairing autonomous AI agents with real-time human agent assist.

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Decagon
Decagon

Decagon builds AI concierge support agents for chat, voice, and email using natural-language Agent Operating Procedures.

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Pricing
Contact Sales
Contact Sales
Plans
EnterpriseCustom
—
Popularity
5.6k views
5.1k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
Web
Categories
💬 Customer Support☎️ Voice AI Agents & Phone Automation
💬 Customer Support☎️ Voice AI Agents & Phone Automation
FeaturesCrestaDecagon
AI Agent: autonomously handles multi-step customer conversations end to end
Deputy Agent: long-running agent automating work from intent to completion across channels
Agentic Assist: real-time generative guidance for live human conversations
Knowledge Agent: grounded policy and product answers retrieved mid-conversation
Summary Agent: automated call wrap-ups and after-contact notes
AI Analyst: agentic reporting surfaced to product and ops teams
Insights with Advanced Topic Discovery for clustering call drivers
Omnichannel Agent Operations Center for managing human and AI agents
AI Receptionist: automated front-door handling for inbound contact
Conductor: local no-code environment to build and test prompts, tools and orchestration
Mocking API: promote captured API invocations into mock rules and test scenarios
Environments and Deployments: shared variables and secrets, revision selection, traffic splits and rollback
A/B testing for AI Agent and subAgent prompts, function tools and knowledge bases on live traffic
Synthetic Customers: simulated personas built from real conversations for pre-launch testing
Batch post-call translation from 30+ languages into English for cross-language QA
Agent Operating Procedures (AOPs) define agent workflows in natural language
Duet analyzes real conversations and generates, tests, and refines AOPs
Duet Autopilot runs self-improving agents with production governance controls
Voice 3 voice channel powered by Chord, Decagon's in-house speech model
Chat agents for on-brand, safe replies across complex workflows
Email agents for always-on contextual resolution
Single intelligence layer unifying chat, voice, and email
Cross-channel and cross-session memory preserving customer context
Personal agent detection and a dedicated channel to serve them
PACT consent and trust protocol with brand-controlled permissions
Decagon Assist gives human reps AI-backed context during live conversations
Simulations at scale and unit testing before workflow changes ship
Versioning and Experiments for live A/B testing of agent updates
Step-by-step traceability of model calls, workflow triggers, and knowledge articles
Watchtower always-on QA monitoring against custom criteria
IntegrationsCrestaDecagon
Salesforce
Zendesk
Twilio Flex
Genesys
Five9
NICE CXone
Talkdesk
Avaya
Cisco
Zoho Desk
Intercom

Frequently Asked Questions

Which is better, Cresta or Decagon?

The best choice between Cresta and Decagon depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Cresta and Decagon?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Cresta or Decagon?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are Cresta and Decagon compared with?

Decagon vs Sierra comparison
Decagon vs Intercom comparison

Where can you read more about Cresta and Decagon?

Cresta
View Cresta reviewCresta alternatives
Decagon
View Decagon reviewDecagon alternatives

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Best AI Customer Support toolsBest AI Voice AI Agents & Phone Automation tools
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Analysis generated by our model pipeline from live data: