Decagon vs eesel AI (2026)

Decagon

by Decagon

eesel AI

by eesel AI

Pros

• ✓Agents run on Agent Operating Procedures that support teams write in natural language, with a supervisor model that checks for hallucinations before a response is sent and Watchtower QA reviewing every conversation, so behavior can change without engineering work.
• ✓Outcomes are published against named customers: Chime reports 70% chat and voice resolution, Duolingo an 80% deflection rate, Flashfood a 90%+ deflection rate and ClassPass a 95% cost reduction.
• ✓Zero-data retention is enforced with LLM providers including OpenAI and Anthropic, and the Trust Center lists SOC 2 Type II, ISO 27001:2022, HIPAA and PCI DSS 4.0.1, which suits regulated industries such as fintech and healthcare.

Limitations

• –No rates are published. Decagon offers per-conversation or per-resolution pricing, but both are quoted through sales, so cost cannot be compared with published-rate tools such as Intercom Fin without a scoping call.
• –Deployment is sales-led with an implementation team rather than self-serve, and G2 reviewers report a Time to Implement of 2 months, so it is not a fit for teams that need to launch in days.
• –The third-party review base is small for an enterprise vendor, at 29 G2 reviews, which gives risk-averse buyers less peer validation than larger support platforms offer.

Pros

• ✓Agents work inside existing helpdesks including Zendesk, Freshdesk, Intercom, Gorgias, Help Scout and Salesforce, so support teams keep their current workflow.
• ✓A ticket or chat is 1 credit however long it runs, with no platform fee or seat charge, unlimited agents and seats, and a free trial of 100 credits with no card.
• ✓Every workspace is an MCP server for Claude, ChatGPT and Cursor, and eesel states that customer data is never used to train AI models.

Limitations

• –Plans are prepaid monthly credit batches starting at $299 for 500 credits, unused credits do not roll over, and agents pause when credits run out unless overage at $0.80 per credit is turned on.
• –SOC 2 Type II is still in its observation period, with the audit planned for early 2027, and HIPAA, SSO and custom data residency sit on Enterprise.
• –G2 reviewers report about 1 month to implement, longer than the minutes eesel cites for connecting an agent.