IrisAgent vs Decagon: No-Code AI Support That Ships in 24 Hours
and 6 weeks of implementation. IrisAgent is fully
no-code — your support team owns the AI, live in
under 24 hours with 95%+ accuracy.
Why support teams choose IrisAgent over Decagon
Your support team should own the AI — not depend on engineering sprints
Fastest Time to Value
Go live in under 24 hours with no engineering resources. Decagon's implementation takes 6 weeks minimum.
Fully No-Code
No developers, no Git, no Agent Operating Procedures. Your support team configures everything visually.
Hallucination-Free AI
Proprietary Hallucination Removal Engine validates every response. No made-up answers — ever.
Built-in Agent Copilot
Real-time AI assist for human agents with proactive suggestions. Not just full automation or nothing.
IrisAgent vs Decagon: Feature-by-feature comparison
 | Decagon | |
|---|---|---|
| Target Market & Accessibility |  Designed for mid-market and enterprise teams — transparent pricing accessible to growing companies No minimum contract thresholds — start small and scale as you see results |  Enterprise-only focus with minimum platform fees starting at ~$50,000+/year Typical annual contracts range $300,000–$500,000+ — inaccessible for mid-market teams |
| AI Architecture | Multi-agent system with specialized AI for email, chat, voice, and copilot — all coordinating together Configurable LLM federation with OpenAI, Anthropic, Azure, and more | Single generalist AI agent handling all issue types — can struggle with multi-topic conversations Agent Operating Procedures (AOPs) require code and developer involvement to configure |
| Pricing Model | Transparent, predictable pricing accessible to mid-market teams AI capabilities included — not metered or usage-gated | Custom pricing with per-conversation or per-resolution models — no public pricing Median annual contracts around $386,000 with minimums starting at ~$50,000+ |
| Setup Complexity | Fully no-code — any support leader can configure workflows, tone, and responses Go live in under 24 hours without writing a single line of code | 6-week implementation process: discovery, AOP development, testing, and controlled rollout Agent Operating Procedures require code-level configuration and developer resources |
| AI Accuracy & Hallucinations | 95%+ accuracy with proprietary Hallucination Removal Engine Every response validated against your knowledge base and real support data before delivery | Black-box concerns — users report difficulty understanding why AI made specific decisions No proprietary hallucination elimination technology |
| Technical Requirements | Zero technical requirements — designed for support teams, not engineering teams No Git, no code reviews, no developer sprints needed to manage AI behavior | Requires developers to write and maintain Agent Operating Procedures Uses Git version control for AOP management — assumes engineering team involvement |
| AI Copilot for Agents | Built-in AI copilot with real-time resolution suggestions, response guidance, and summarization Proactive recommendations powered by similar tickets and bug data | Focused on full automation — limited built-in support for human agent augmentation Agent assist capabilities secondary to autonomous resolution |
| Trending Incidents & Proactive Insights | Automatically discover trending topics and get proactive alerts on emerging issues Real-time escalation prediction using customer health, sentiment, and revenue signals | Watchtower monitoring for AI performance, but limited proactive support insights No trending incident detection or automatic alerting on emerging customer issues |
| Sentiment & Escalation Analysis | AI-powered, granular sentiment analysis measured per ticket with escalation prediction | Basic escalation handling — lacks deep sentiment analysis and predictive escalation |
See IrisAgent in action
Skip the 6-week implementation. Connect your helpdesk and start resolving tickets in under 24 hours.
No-code AI that your support team actually owns
Live in 24 hours — not 6 weeks
AI copilot for agents — not just full automation
Which one is right for you?
An honest look at when each platform is the better fit.
When Decagon is the right choice
Decagon is a fit for engineering-heavy organizations with dedicated developer resources that want to write agentic workflows as code (AOPs), have 6+ weeks of implementation runway, and are prepared for enterprise contracts in the ~$386K range for a highly customizable code-based platform. If your team prefers no-code configuration and needs to go live in under 24 hours, IrisAgent is the better fit.
When IrisAgent is the right choice
IrisAgent is a fit for support teams that want enterprise-grade agentic AI without writing code or waiting 6 weeks — fully configurable in plain English through Smart Operating Procedures, live in 24 hours, with transparent pricing and no developer dependency. Best for support leaders who own their own AI strategy and don't want to block on engineering.
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