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Automatically create AOPs by uploading conversation transcripts, then use Duet to keep iterating them. Sync support tickets and tap into customer data from applications like Salesforce, Intercom, Zendesk, and more.
Products
AOPsCombine the flexibility of natural language with the reliability of code to execute any workflow. Get a demo What are AOPs?
Build and iterate at the speed of your business
Source ↗Write inbound and outbound workflows, like training a human on standard operating procedures.
Engineering teams stay in control
Source ↗Technical teams can version with Git-based tracking and retain full ownership of code.
Guardrails that scale across any workflow
Source ↗Set rules for brand voice, escalations, and hallucinations across across chat, voice, and email.
See exactly why your agent executed the way it did
Source ↗Get explanations of your agent’s reasoning at any point in the conversation, with runtime and latency numbers.
Test, experiment, and improve continuously
Source ↗Refine agent behavior easily with a robust suite of testing, versioning, and alerting tools.
Work with your existing stack
Source ↗AOPs integrate with your support tools, pulling live data and triggering workflows across systems.
Compress work that used to take weeks into minutes
Source ↗Automatically create AOPs by uploading conversation transcripts, then use Duet to keep iterating them.
Build on what works for concierge experiences
Source ↗Apply best practices from conversational design learnings and hundreds of deployments directly to your workflows.
Agents that get better on their own
Source ↗Surface and take action on recommendations so your team spends less time debugging.
ChatFlexible, on-brand chat built for conversations across web, mobile, and messaging platforms.
Chat appearance
Source ↗Customize your chat interface to match your brand by setting the chatbot name, chat colors, and agent icons.
Welcome messages
Source ↗Greet users with dynamic messages based on location, status, and more so every interaction feels personalized.
Quick replies and forms
Source ↗Guide users with predefined choices or collect structured inputs in one step for faster, clearer chats.
Interactive elements
Source ↗Add images, videos, and item carousels to bring your product catalog to life or provide step-by-step instructions.
Multi-brand support
Source ↗Manage distinct chat experiences across multiple brands, with customizable greetings, styling, and behavior for each. Decagon Assist
EmailIntelligent email that understands context, stays on brand, and handles complex customer threads.
Email tone and style
Source ↗Customize language, length, greetings, signatures, and formatting so every response reflects your brand.
Contextual thread handling
Source ↗Understand long-running threads, multi-part questions, and prior customer details to respond accurately.
Seamless inbox integrations
Source ↗Route and respond to emails from the systems your teams already use, including Intercom, Zendesk, Salesforce, and more.
Smart escalations
Source ↗Escalate intelligently using tags and ticketing integration so issues reach the right human agent with full context. Decagon Assist
VoiceVoice AI agents built for natural, multilingual conversations and customized to your brand. Get a demo DEMO Voice.
Interruption handling
Source ↗Interrupt, backtrack, or think out loud, and the agent yields and picks up without making you start over.
Customizable voice profiles
Source ↗Choose from hundreds of voices, including custom-tuned ones, and tailor it to sound like your brand.
Seamless escalations
Source ↗Seamlessly transfer calls to human agents with a concise summary, ensuring a smoother handoff.
Outbound calling
Source ↗Unlock proactive engagement by initiating outbound calls for sales, support, and customer updates.
Real-world accuracy
Source ↗Understand customers clearly across accents, background noise, and everyday call conditions.
Built-in guardrails
Source ↗Enforce AOPs, policies, and brand guidelines to keep your voice agent on-topic and on-brand. Decagon Assist
IntegrationsPre-built connectors, APIs, and MCP support for data, actions, and escalations. Get a demo Integrations connect your AI agent to the systems your team already relies on, including CRMs, help desks, call centers, and knowledge bases.
CRM, helpdesk, and ticketing
Source ↗Sync support tickets and tap into customer data from applications like Salesforce, Intercom, Zendesk, and more.
Knowledge base syncs
Source ↗Populate your AI agent’s knowledge base with existing articles from systems such as Confluence, Contentful, and Kustomer.
CPaaS platform integrations
Source ↗Plug into your CPaaS platforms like Amazon Connect or RingCentral to power voice calls with seamless handoffs.
Live chat escalations
Source ↗Take action on behalf of customers across Zendesk Sunshine, Salesforce, and more using standard workflows.
Automated email routing
Source ↗Let your AI agent handle email inquiries through Zendesk and Intercom, with smooth handoffs when needed.
Seamless call forwarding
Source ↗Route inbound calls to your AI agent with seamless transfers to human agents when escalation is required.
MCP open connectivity
Source ↗Connect to any data system or application via an open standard for real-time data and actions.
API integrations
Source ↗Let your AI agent retrieve data and trigger actions through self-serve APIs and custom tool integrations.
SIP trunking for voice
Source ↗Integrate with your existing telephony infrastructure and power secure voice calls over the internet.
ExperimentsData-driven experiments to improve AI agent performance and CX metrics.
Faster answers to questions
Source ↗What’s the impact of shorter voice replies on CSAT? How does adjusting an AOP affect deflection? Stop waiting for quarterly updates and start driving continuous improvements.
A/B testing on live traffic
Source ↗Define your variable and traffic split, then measure results against a stable control group directly in production.
Concurrent, non-overlapping experiments
Source ↗Run multiple experiments at once while keeping a universal control group. Clean, isolated results make it easy to see what’s working.
Statistical rigor made simple
Source ↗Set your p-value threshold and get clear signals when results are statistically significant— no data science degree required.
Unified dashboards
Source ↗Monitor conversation volume and key metrics across control and variable groups from a single, unified view.
Trends over time
Source ↗See daily performance and longer-term trends in CSAT and deflection to spot meaningful shifts faster.
Custom traffic allocation
Source ↗Ramp up gradually or roll back experiments entirely based on real performance data.
Flexible rollout controls
Source ↗Easily launch full rollouts once an experiment proves successful. Scale winning changes.
Experiment labels
Source ↗Track experiments with clear status labels: active, inactive, or archived. Quickly surface successful experiments and replicate what works.
Insights & ReportingDashboards, metrics, and AI insights to understand performance and trends. Get a demo Insights and Reporting provides a complete view of AI agent performance and Voice of the Customer trends.
CSAT, deflection, and more
Source ↗Track core business metrics and dive deeper with AOP-level breakdowns and subtopic performance.
Customizable visual heatmaps
Source ↗Quickly identify spikes or dips in key metrics. Customizable granularity and sensitivity to suit your team’s needs.
Diagnostic tools
Source ↗Accelerate improvements to your agents with prescriptive insights for high-impact revisions.
Natural language questions
Source ↗Ask open-ended questions like “Why are customers requesting refunds?” to instantly analyze customer conversations.
Summaries and visualizations
Source ↗Narrow results by channels, escalation flags, CSAT ratings, and more to dig into specific segments your team cares about most.
Product roadmap direction
Source ↗Scan thousands of conversations to surface trends and back product decisions with real customer data.
Customer journey diagrams
Source ↗Visualize conversation flows and drop-offs to uncover friction and improve conversation design.
Voice of the customer
Source ↗Organize conversations into topics and themes highlighting which issues surface the most often and how they trend over time.
Knowledge base performance
Source ↗Track which articles drive value with top references and click-through rates.
Testing & QASimulations validate agent behavior, spot risks, and optimize performance. Get a demo Simulations, Decagon ' s integrated testing suite, help teams validate agent behavior across channels before deploying to production and with every subsequent update.
Auto-generate tests
Source ↗Use Duet to easily generate tests covering diverse pathways that verify whether agents respond accurately, follow policies, and reflect your brand.
Checkpoints at every stage
Source ↗Confirm that your agent reliably triggers the right actions, uses correct data and tools, and follows business logic, all in the exact moments intended.
Evaluation model rationale
Source ↗Double-click to inspect the evaluation model’s rationale and see exactly why a test passed or failed.
Always-current test coverage
Source ↗Ensure your testing is always up-to-date with automatic detection, updates, and removals of stale tests.
Actionable improvements
Source ↗Quickly understand root causes of issues and refine workflows with tailored suggestions using a built-in AI chat assistant.
Scheduled testing runs
Source ↗Set up recurring simulations that automatically validate behavior over time, so you can continuously monitor changes and catch issues before they impact customers.
Ship every update with confidence
Source ↗Integrate with CI/CD practices to test every agent version and ensure every change meets the quality bar without regressions.
Results you can trust
Source ↗Get granular results on both how your test was set up and how your agent performed, so you know the source of failure.
Automated alerting
Source ↗Trigger alerts to tools like PagerDuty when key performance metrics fall outside defined ranges, so teams can respond quickly before customers are impacted.
WatchtowerAlways-on monitoring and QA for AI and human agent interactions against your custom criteria Get a demo Watchtower gives you complete, real-time visibility into every customer conversation, without the manual overhead of traditional QA. Whether you ' re monitoring for compliance risks, negative sentiment, or upsell signals, Watchtower reviews every interaction against your custom criteria and surfaces what matters most.
Natural language flagging criteria
Source ↗Define what matters using natural language. From " mentions of frustration " to " violations of data privacy policy, " Watchtower understands your flagging criteria and applies your intent contextually.
Precision filters
Source ↗Filter by CSAT, support channel, user metadata, resolution status, and more, so your team can quickly zero in on high-impact.
Flexible time windows
Source ↗Review past conversations or set up continuous monitoring going forward. Simply define your time range, and Watchtower handles the rest.
Always-on monitoring
Source ↗Surface compliance risks, sentiment issues, or upsell opportunities the instant they occur, enabling your team to take immediate, informed action.
Custom categorization
Source ↗No more sifting through endless transcripts. Organize findings into meaningful clusters like “data privacy violations” or “purchase intent,” giving you clarity and focus.
Flexible rubric scoring
Source ↗Define multiple fields in a single Watchtower, each with its own scoring options. Assign point values and track average scores over time to unlock critical insights.
Real-time dashboards
Source ↗Track trends across flags and categories to spot systemic issues, monitor progress, and prove impact from a single source of truth shared across teams.
Conversation drilldowns
Source ↗Investigate issues in depth by moving seamlessly from high-level dashboard trends to individual transcripts, with full conversational context.
Comprehensive business insights
Source ↗Start by catching risks like compliance violations or low CSAT, then expand to uncover product gaps, spot recurring feature requests, and identify conversion signals.
SuggestionsAI-powered insights that uncover content gaps and generate new articles to keep your agent up to date.
Knowledge gap analysis
Source ↗Identify the areas where your AI agent falls short, with conversation-driven insights that highlight missing or outdated knowledge.
Ranked coverage impact
Source ↗Prioritize the gaps that affect the largest share of conversations, so you focus on the highest-impact fixes first.
Fast, digestible summaries
Source ↗Access concise, clear descriptions for each gap, so your team can immediately see what’s missing and why it matters.
Automated article generation
Source ↗Leverage real-world resolutions from your human agents to generate new content that reflects how issues were actually solved— not guesswork.
Topic-based clustering
Source ↗Review drafts grouped by topic (e.g., billing, application issues) and clustered by relevance, making it easy to navigate and take action.
Flexible publishing controls
Source ↗Keep your team in control of what goes live, while Suggestions handles the heavy lifting of drafting content grounded in your customers’ actual needs.
Automatic monthly updates
Source ↗Access new suggestions every month to ensure your documentation evolves with product changes and shifting customer behavior.
CSV exports for analysis
Source ↗Export all generated drafts to share with stakeholders, integrate into your content workflows, or feed your analytics pipeline.
Content feedback loops
Source ↗Transform customer conversation data into strategic guidance for CX, content, and operations teams alike.
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Decagon.ai | Official Site
Increase deflection rate & team productivity, reduce total resolution time. Learn more.
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What does it take to build a CX org for AI agents? Join us on 11/18 to hear who should own the agent, how the work changes, and what to have in place before you go live.
Register
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Register
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What does it take to build a CX org for AI agents? Join us on 11/18 to hear who should own the agent, how the work changes, and what to have in place before you go live.
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Decagon
Build self-improving AI agents with Duet Autopilot.
Video ↗First shown Aug 12, 2026 · Last shown Nov 11, 2026Decagon
Build self-improving AI agents with Duet Autopilot.
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Meet Chord, our new speech model built for customer conversations. Callers who realize they're talking to a machine often disengage and ask for a human, while a more natural voice helps keep them in the conversation. We trained Chord on conversational speech with the shifting pace, natural emphasis, and pauses that make calls with humans feel natural. When customers in telecom, financial services, and travel switched from an off-the-shelf voice to Chord, with no other changes, here's what we found: 🔹 Resolution rate rose in every deployment, by as much as 7.1 points 🔹 Barge rate (callers pushing to reach a human) fell by as much as 14.5 points 🔹 In blind tests, listeners couldn't reliably tell Chord from the real voice talent it was modeled on At Decagon Labs, we’re investing in purpose-built models that give us more control over the customer experience. With Chord, you can hear that approach in action. Full technical breakdown in the comments.
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Decagon
Build self-improving AI agents with Duet Autopilot.
Video ↗First shown Sep 16, 2026 · Last shown Nov 11, 2026Decagon
Build self-improving AI agents with Duet Autopilot.
Video ↗First shown Sep 16, 2026 · Last shown Nov 11, 2026Decagon
Build self-improving AI agents with Duet Autopilot.
Video ↗First shown Sep 16, 2026 · Last shown Nov 11, 2026Introducing Duet Apprentice: AI that learns like humans do
Meet Duet Apprentice: AI that learns your business the same way your best people do. Your team's knowledge is spread across onboarding docs, Slack threads, and the judgment of reps who've done the job for years. Apprentice gives Duet access to all of it: 🔹 Docs: Reads your onboarding material and process wikis in Notion, Confluence, SharePoint, or Google Drive, with nothing to migrate or reformat 🔹 Escalations: Learns how your most experienced reps handle edge cases no AOP anticipated 🔹 Slack and Teams: Keeps up with decisions as they're made, and asks in-thread when it isn't sure Frontier models keep getting better at reasoning, but none of that teaches an agent how your team actually operates. That knowledge already exists inside your company, and Apprentice is how Duet reaches it. Full details are in the comments.
Learn more
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Brand colors & fonts
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