Sierra vs Decagon: which enterprise AI agent should you pick in 2026?
Answer in brief: Both are enterprise AI agents that sit on top of your helpdesk and back-end systems rather than replacing them. Pick Sierra if you are a large consumer brand that wants one agent across chat, SMS, WhatsApp, email, voice and ChatGPT, paid by outcome, and you want it to drive retention and revenue as well as resolutions. Pick Decagon if you want your operations team to write and change the agent's behavior in plain-language Agent Operating Procedures (AOPs), with testing and experiments built in, across chat, voice and email.
Top pick for large consumer brands: Sierra. The widest channel list here, outcome-based pricing, and a toolkit (Ghostwriter, Insights, Horizon) for building and improving agents. Visit Sierra →
This is independent research based on Sierra's and Decagon's own websites, read on November 9, 2026. We did not test either product hands-on.
Where they fit
Of the three ways to add AI to support, both of these are the AI agent route at enterprise scale. You keep your ticketing system and workspace for human agents (for example Zendesk, Salesforce or Front, which lets external agents built with Sierra work inside its inbox) and let the AI agent handle customers first. Neither company is a helpdesk, and neither is a copilot for human agents.
Head to head
| Sierra | Decagon | |
|---|---|---|
| Positioning | A conversational AI platform for businesses | An "AI concierge for every customer" |
| Channels | Chat, SMS, WhatsApp, email, voice, ChatGPT | Chat, voice, email in one intelligence layer |
| How you build | Ghostwriter builds agents from SOPs, transcripts, whiteboard photos, audio or plain-English goals | Agent Operating Procedures (AOPs) written in natural language |
| Improve and monitor | Insights: Explorer, Monitors, Experiments, Observability | Testing, observability, experimentation and an analytics suite |
| Beyond support | Horizon: long-horizon planning, customer memory, proactive engagement | Concierge-style personalized actions across the customer lifecycle |
| Pricing | Outcome-based, with criteria agreed up front. It can be blended with per-conversation pricing. | No public price list. Demo and quote. |
| Named customers on site | Rocket Mortgage, SiriusXM, ADT, SoFi, CarMax, Sutter Health, Ramp, Paychex | Notion, Chime, Duolingo, Hertz, Rippling, Mercado Libre, Perplexity, Oura |
Choose Sierra when…
- Channel reach is everything. A single Sierra agent runs across six channels, ChatGPT included.
- You want to pay for results, not seats. Sierra says that if a conversation is unresolved or escalated, in most cases there's no charge. It also offers blended pricing, such as per-conversation pricing for routing or greeter-style interactions.
- Support is part of a growth plan. Horizon is built for outcomes such as saved cancellations and upsells, measured over days or months.
Choose Decagon when…
- Your ops team owns the logic. Decagon says every change to your agent shouldn't need an engineering sprint or a vendor ticket. AOPs keep the workflows readable.
- You want to ship changes safely. Testing, observability and experimentation are built into the platform.
- Voice, chat and email must behave the same. Decagon's "build once, deploy everywhere" model keeps every channel consistent.
Pricing models in plain terms
Sierra publishes its pricing model but no rates. It charges per agreed outcome, such as a resolved conversation, a saved cancellation or an upsell, and gives clear outcome criteria up front. Decagon publishes neither a model nor rates on its site, so budget time for a sales cycle with either vendor. If you need a public per-unit price right now, look at Intercom Fin and its alternatives.
Right size check
- Small teams: probably too much. Start with an AI-native helpdesk (see how to choose).
- Mid-market tech companies: Decagon's customer list leans toward fast-growing software and consumer-tech brands.
- Large regulated or consumer enterprises: Sierra's customers include mortgage, banking, healthcare, telecom and automotive retail brands.
FAQ
Do Sierra or Decagon publish prices?
No. Sierra describes outcome-based pricing but lists no rates, and Decagon shows no price list on its site. Both sell through demos and quotes.
Do they replace my helpdesk?
No. Both are AI agent platforms. You still need ticketing and a workspace for the human agents they escalate to.
Which has more channels?
Sierra lists chat, SMS, WhatsApp, email, voice and ChatGPT. Decagon lists chat, voice and email.
Can non-engineers build agents on them?
Yes, according to both vendors. Sierra says you can build agents with or without engineering support using Ghostwriter. Decagon's AOPs are written in natural language.
Keep comparing
The full ranked list · Sierra review · Decagon review · Alternatives to Agentforce · How to choose · Enterprise agent platforms