The conversational AI platform for concierge customer experiences
The Decagon difference
Instead of relying on the same complex configuration languages and engineering-heavy approaches as the rest of the industry, Decagon is purpose-built to rapidly build, optimize, and scale AI agents.
Agent Operating Procedures (AOPs) combine the flexibility of natural language with the precision of coded logic. Non-technical users can quickly build and continuously iterate on AI agent logic, while technical teams retain control over guardrails, integrations, and versioning without requiring an engineering sprint for every change.
A unified platform to deliver concierge customer experiences across every channel.

Rapidly build, optimize, and scale your AI agent.
Build
Decagon empowers both technical and non-technical teams to build quickly and collaboratively, without slow implementation cycles, heavy engineering lift, or vendor lock-in.
AOPs
00
Define custom business logic for Al agents using natural language. Non-technical users can quickly shape and iterate on agent behavior, while technical teams retain control over the core code to integrate with key tools and systems, enforce guardrails, and manage rollouts to production.

https://storage.googleapis.com/decagon-public-assets/marketing/aop-animation.mp4
Seamless integration
00
Integrate with your ticketing platforms, CRMs, knowledge bases, CCaaS providers, and other custom systems. Move beyond simple Q&A workflows and use tools to take real action.

Brand consistency
00
Ensure consistent decision logic, agent behavior, brand voice, and response quality across every channel by using the same underlying knowledge, reasoning, and workflows.

Omnichannel support
00
Auto-resolve complex issues 24/7 in any language over any channel— chat, email, voice, SMS, and even custom surfaces via API.

Optimize
Validate your AI agent with simulated conversations and step-by-step traceability, then version and A/B test to improve quality over time.
Testing & QA
00
Evaluate updates to Al agents before deploying to production with simulated conversations and unit testing. Rigorous evaluation and versioning enables teams to move faster, optimize performance, and deploy with confidence.

Transparent observability
00
Trace every decision with full visibility into how and why an Al agent responded the way it did, whether it called a model, triggered a workflow, or referenced a specific knowledge article.

Enterprise-grade guardrails
00
Ensure critical operations like identity verification and refunds are executed securely and reliably with strict controls and validation.
.avif)
Experiments & A/B testing
00
Route live conversations across agent versions to A/B test workflow updates and measure impact on CSAT, deflection rate, and other key metrics at scale.

Scale
Unlock critical insights into your agent’s performance with deep, self-serve analytics to accelerate hillclimbing and improve quality over time.
AI-powered insights
00
All Al agent conversations have built-in analytics, so you can get instant reporting to continuously improve. Identify themes, find anomalies, and filter to the conversations you care about most.

Ask AI
00
Use natural language to dig into valuable customer insights. Decagon's Al analysis agent reads and analyzes conversations in real time, so you can unlock valuable insights across all your conversations.

Watchtower
00
Review, flag, and audit responses— before, during, or after delivery. Monitor user sentiment, alert for mentions of fraud or regulated complaints, and enforce guardrails across all conversations.

Knowledge suggestions
00
Identify gaps in your knowledge base by analyzing conversations where customers didn't get complete answers, and automatically drafts new articles based on how your best human agents resolved those issues.






