Decagon is a serious enterprise AI concierge with deeper compliance and a heavier QA layer. YourGPT pulls ahead on flat pricing, model choice, channel breadth and how fast you can be live.
Where an enterprise, sales-gated AI concierge and a self-serve agent platform actually diverge, from how you buy it to who picks the model.
Every path into Decagon is a demo request. Its site has no signup, no free trial and no pricing page, and Decagon says most enterprises go live in weeks rather than months with a forward-deployed team on the engagement. YourGPT is self-serve. Create an account, point it at your website and docs, set your tone and guardrails, and go live, typically inside 30 minutes and with no engineering time.
No demo, no scoping call and no sales cycle in front of the product.
Build a complete agent on your own content, no credit card.
Connect content, set guardrails, connect channels, publish.
Monthly or annual billing, your choice, and cancel when you want.

Decagon's own Sierra comparison names its pricing model as per-conversation or per-resolution, and recommends per-conversation so enterprises avoid negotiating what counts as a resolution. Either way the meter runs on customer behaviour, and no rate appears anywhere on decagon.ai. YourGPT charges $39, $79 or $349 a month billed annually with AI credits and seats included, so a busy month and a quiet month cost the same.
Three tiers with the price, credits and seats listed for each.
10M to 100M AI credits by tier, not a separate line item.
$7 per 2M extra AI credits, at the same rate on every plan.
The bill does not move because your customers asked more questions.

Decagon runs what it calls a network of frontier and specialized models, managed and selected by Decagon. That is a reasonable design, and it also means the model answering your customers is not your decision. YourGPT hands that choice back: switch between GPT, Claude, Gemini and others at any time, match a model to each use case, see the credits and average cost per chat for each one, and on Enterprise plans connect a model you fine-tuned yourself.
Pick a model per use case and balance cost, speed and quality.
Change models without rebuilding the agent or retraining your content.
See credits consumed and average cost per chat before you commit.
Enterprise plans can connect a model you fine-tuned.

Decagon's build surface is a serious one. Agent logic is written in natural language, its tools are written in Python with MCP support, workspaces are Git-backed for staging and production, and a forward-deployed team comes with every engagement. That fits an enterprise with engineers to spare. AI Studio asks for none of it: API calls, custom code and branches are nodes on a canvas, and event or schedule triggers let an agent open a conversation rather than only answer one.
Google Calendar, Sheets, Stripe, Freshdesk, Zoho and Brevo connect from AI Studio with no integration to build.
Point AI Studio at your own endpoints and use live data mid-conversation.
Drop in custom code for a hard step, and skip it everywhere else.
Send the agent down explicit paths in one multi-step flow.
Agents can open a conversation on a product event or a set schedule.

Decagon lists 70+ languages across chat, voice, email, SMS, WhatsApp and custom surfaces. Instagram, Messenger, Telegram and Slack are not on that list. YourGPT trains once and deploys to website chat, WhatsApp, Instagram, Messenger, Telegram, Slack and email, plus an AI voice agent that answers inbound calls and places outbound ones, in over 100 languages, with live handoff to your team on any channel.
WhatsApp, Instagram, Messenger, Telegram and Slack from the same agent.
Answers inbound calls and places outbound ones for follow-ups and qualification.
Consistent answers in over 100 languages with no extra setup.
Route a complex conversation to your team on any channel, with context.

Neither tool wins every category. Here is the honest read on which buyer each one fits, based on current pricing and capabilities.
This is the clearest case. Decagon is built and sold for enterprise contact centres, includes a forward-deployed team on every engagement, and names deployments at Chime, Duolingo, ClassPass, Noom, Rippling and Hunter Douglas. Around the agent it ships an operating layer that we do not match: Watchtower reviewing 100% of conversations against your criteria, Suggestions for knowledge recommendations, Experiments for live A/B routing, Duet as a lifecycle copilot, and Decagon University for enablement. If you want a vendor working the programme with you, Decagon is the right shape. Verified against decagon.ai/product/overview and decagon.ai/vs/sierra.
Decagon names SOC 2 Type II, HIPAA, GDPR, PCI and ISO 27001, plus CCPA and EU AI Act badges, zero-day retention agreements with its AI providers, PII redaction through Google's DLP service, SSO with Okta and Microsoft Entra, and multi-region infrastructure with uptime SLAs. YourGPT is SOC 2 Type II certified and GDPR compliant with EU data residency available, and gates SSO and SAML to Enterprise plans, but we hold no PCI, HIPAA or ISO 27001 attestation. If any of those is a hard requirement, ask Decagon for theirs.
Decagon runs checks before, during and after every conversation: simulations and regression tests before launch, a supervisor model checking responses in real time, a bad-actor model screening manipulation attempts, and Watchtower reviewing every conversation afterwards against your criteria. It points to banking and healthcare customers running that setup in production. YourGPT gives you tone and guardrail controls plus human handoff, which is a lighter apparatus than that.
Agent Operating Procedures let a CX team define behaviour in natural language, the same way it writes SOPs for human agents, with Duet as a thought partner. Engineers keep a real surface underneath: tools in Python with MCP support, Git-backed workspaces for staging and production, and headless deployment inside your own infrastructure. If your support leads write well and your engineers want that setup, the authoring model suits both.
Decagon publishes named connectors for Salesforce, Intercom, Zendesk and Zendesk Sunshine, Kustomer, Confluence, Contentful, Amazon Connect and RingCentral, so it drops into an existing enterprise support stack and syncs the knowledge base you already maintain. YourGPT reaches those systems through our API, MCP, Zapier, Make.com or Pabbly instead. More flexible, but it is wiring you do rather than a connector you switch on.
Decagon has no signup, no free trial and no self-serve path. Every CTA on decagon.ai is a demo request, and it tells enterprise buyers to expect weeks to go live. YourGPT is a 7-day free trial with no credit card, and most teams have an agent trained on their own content and answering customers inside 30 minutes.
Decagon meters per conversation or per resolution and lists no rate on its site, so your cost tracks how much your customers talk to you and the number itself comes out of a negotiation. YourGPT lists Essential at $39, Professional at $79 and Advanced at $349 a month billed annually ($59, $129 and $499 monthly), with 10M, 30M or 100M AI credits and 3, 5 or 20 seats included, extra seats at $7 a month and top-ups at $7 per 2M credits. Figures from yourgpt.ai/pricing and decagon.ai/vs/sierra.
Decagon's product, proof and go-to-market are all aimed at enterprise contact centres. A 5, 20 or 100-person company is not the buyer that shape is designed for. YourGPT starts at $39 a month with seats and credits included, and the same platform carries you up to multi-agent systems and Enterprise features as you grow.
Decagon selects and manages the models behind your agent. YourGPT lets you switch between GPT, Claude, Gemini and others at any time, match a model to each use case, compare credits and average cost per chat across them, and connect a model you fine-tuned yourself on Enterprise plans.
Decagon lists chat, voice, email, SMS, WhatsApp and custom surfaces in 70+ languages. YourGPT adds Instagram, Messenger, Telegram and Slack from the same trained agent, covers over 100 languages, and includes inbound and outbound voice in the plan rather than as a separate channel.
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