Decagon vs. Sierra

AI Agents for the agentic era

Instead of taking the same professional services-reliant approach as legacy solutions, Decagon delivers a product-driven approach to building, managing, and scaling AI agents.

Industry leaders rely on Decagon

Hertz
Eventbrite
Duolingo
Notion
Classpass
Bilt
Rippling
Curology
Substack
Raise
Webflow
Samsara
Gopuff
Hertz
Eventbrite
Duolingo
Notion
Classpass
Bilt
Rippling
Curology
Substack
Raise
Webflow
Samsara
Gopuff

Built for speed, transparency, and performance

Decagon is purpose-built for the agentic era. Agent Operating Procedures (AOPs) empower non-technical teams to quickly architect and iterate on AI logic, while technical teams retain control over the core code.

Decagon

Decagon’s AOPs combine the power and flexibility of natural language instructions with the precision and rigor of code.

Sierra

Sierra’s model might work for old-school enterprises that don’t mind a slow, opaque and expensive process.

Why industry leaders choose Decagon

You’re in the business of retaining and growing happy customers. Decagon is in the business of helping you do that.

Seamless onboarding and quick time to value

Decagon’s unique approach enables faster implementation, so you can transform your customer experience in weeks, not months.

Transparent feedback loops 

With a clear understanding of AI agent instructions and outcomes, your team can rapidly iterate and see improvements.

Increased quality– at a lower cost

Agent Operating Procedures (AOPs) allow your team to directly manage AI agents without relying on costly professional services.

Decagon vs. Sierra

Customer-obsessed businesses choose Decagon to reimagine customer experience with AI agents.

Decagon

Set-up time
Fast – Build AOPs with natural language
Iteration
Easy – Your team can update
Cost
Lower – No ongoing development fees
Transparency
High - Full view of AI logic and analytics

Sierra

Set-up time
Slow – Requires developer coding
Iteration
Difficult – Requires developer support
Cost
Higher – Ongoing service fees
Transparency
Low - No visibility around AI agent logic

See how customers are currently using Decagon

"Working with Decagon was like hiring 65 agents overnight. We get 60k tickets per month. 70% of those are being handled by Decagon’s AI agents. Our monthly savings is hundreds of thousands of dollars. Our agent teams became much stronger, the ones we retain are real product experts.”

Thatcher Foster
VP, Client Solutions at Bilt

"Though we already had a robust Voice of the Customer program and an understanding of customer inquiries we thought we could deflect, we saw 10x higher deflection at launch than we anticipated. Decagon has also allowed us to scale our Chat program to 24/7 while hitting critical CX metrics (e.g., FRT, CSAT) at the same time."

Sarah Vanden Broek
Senior Manager, CX Operations Strategy & AI

"Rippling has a very broad surface area with distinct products that require unique treatments — we brought this problem statement to Decagon and they delivered. We are able to tailor the experience and responses to customers to not only deliver strong deflection results, but also enhance the customer experience along the way."

Husam Najib
VP, Customer Support

One central engine to handle all channels and integrate with existing systems

How it all fits together

For conversational AI agents that interact with customers, we center our vision around the AI Agent Engine - a data flywheel designed to transform how customer support is delivered.

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