- Evaluating Decagon?
Decagon calls itself an AI concierge. It forgets you every time.
Decagon resolves tickets. Delight.ai builds lasting customer relationships by remembering context, acting proactively, and driving outcomes long after the conversation ends.
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Delight.ai vs Decagon :
What sets us apart across seven capabilities
Only on delight.ai:
Agent Memory that knows your customers.
Decagon forgets. Delight.ai's Agent Memory Platform (AMP) remembers, building a profile from every conversation, purchase, and signal across chat, email, voice, and SMS.

For You Conversations
Make every interaction feel personal

Omnipresence
Connected conversations everywhere

Trust OS
Govern every AI concierge decision
Where Decagon is strong.
Where we differ.
We believe the strongest case for delight.ai is an honest one. Here's where Decagon excels, and where we're built differently.
When to choose each platform
Well-designed AOPS
Your CX team needs to iterate without engineering support. Decagon's AOP framework is built for that.
Watchtower QA with strong monitoring
Always-on regression detection before issues reach customers. Decagon's Watchtower catches them first.
Fast deployment to production
Speed to launch is your priority. Decagon's path to production is minimal setup, fast onboarding.
Questions worth asking any AI vendor, including us.
The right questions surface the real differences between platforms.
Most platforms reset between sessions, meaning every new conversation starts from zero. Agent Memory Platform builds a persistent, growing profile of each customer across every interaction, so your AI always knows who it's talking to.
Inbound resolution and proactive engagement are architecturally different. Most platforms only do one. Omnipresent AI triggers outbound conversations based on real customer signals, reaching customers before they need to reach out.
Confidence scores are not the same as a deterministic audit trail. Trust OS gives you step-by-step visibility into every AI decision: what data was used, what action was taken, and why, so you can prove compliance at every step.
Customer references are not a substitute for published numbers. Delight.ai handles over 7 billion conversations per month across 6 billion users globally, with 99.9%+ uptime and the infrastructure track record enterprise deployment requires.
Deflection reduces cost. A concierge that recommends products, prevents churn, and proactively engages customers creates revenue. Those are different platforms. See how both are measured with the ROI calculator.
A white-labeled widget is not the same as a fully branded concierge. Every interaction is configurable to your tone, persona, and identity across every channel. See how it works.

See the difference in 30 minutes
We will show you AMP and Trust OS live, with your use case.

