Agents
Autonomous AI workers that communicate across channels, reason with what your systems know, and react to live events. Nested inside complex workflows alongside deterministic logic, they automate complex operations at scale.
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Workflows
Build an entire process on one canvas. Connect agents, business rules and your existing systems, from the event that starts the work to the action that completes it.
- TriggersWorkflows start on inbound calls, webhooks, scheduled runs, file uploads or inbound messages, so work begins where it already arrives.
- Nodes and EdgesBranching, retries, fallbacks, parallel execution and iteration at any volume, with custom code wherever precision matters.
- External ConnectorsWorkflows call APIs, run OCR, query databases and write to your CRM so an integration is a simple step, instead of a project.
Conversational AI
One agent brain across voice and every written channel, on a proprietary voice stack built for real calls: calling tools, reading and writing your systems, and handing off mid-conversation. Closed on the call, nobody on our side.
- Multi-ChannelThe same logic and knowledge run across voice, SMS, email, WhatsApp, web chat, Teams and Slack, so it’s only built once, not per channel.
- Leading Voice StackProprietary Text-to-Speech (TTS) and interruption models, plus eight more tuned for accents, jargon, and background noise at telephony latency in 30+ languages for the highest quality real world conversation.
- Warm TransferWhen a call needs a human, it transfers mid-conversation with everything the agent has already established, so no one starts from scratch.
Reasoning Agents
Agents decide what to do, not just what to say. They react to events as they land, and hand work to each other when a task calls for it. Every session is subscribed the moment it starts.
- SignalsA live event such as a weather update or market change reaches into an active session, so an agent changes course mid-response instead of after.
- Context and ReasoningEvery response is formed dynamically from the conversation so far, the contact’s history, live records, and anything a signal just changed.
Scalability
The platform is built so that future deployments are always faster than the previous ones, every part is made to be reused. Pinned to a version and an environment, so reuse cannot drift.
- ComponentsBuild prompts, nodes and workflows once and share these components across workflows.
- Nested WorkflowsOne workflow invokes another and waits for its response, helping unlock extremely complex deployments.
- Context SharingAgents can share the same context database, orchestrator agents route to sub-agents, or to external agents over MCP, without breaking the process.
Thousands of workflows, all running at once
Every call answered, every exception handled, every transaction closed, across every function and every channel: thousands of processes executing in parallel, not a pilot on one lane.
FAQs
An AI agent is the core reasoning component inside a HappyRobot workflow, built to handle nuanced, context-dependent work like conversations, decisions, and dynamic responses. Agents run inside workflows alongside deterministic nodes that handle exact, repeatable logic.
HappyRobot supports voice agents (real-time telephony conversations), text/messaging agents (SMS, WhatsApp, email, chat), and reasoning agents, which operate without a live communication channel, receiving input, reasoning over it, executing tools, and producing a structured output for background processing or decision-making.
Agents use agentic AI for context-dependent work such as conversation and decision-making, while precise, repeatable operations, calculations, routing, structured outputs, compliance-sensitive decisions, run through deterministic tools and code, keeping consequential outcomes predictable rather than left to model improvisation.
Yes. HappyRobot supports single-agent setups for focused use cases, and multi-agent architectures with an orchestrator prompt that triages and routes to specialized sub-agents, each with its own tools and knowledge context. Control can return to the orchestrator to re-triage at any time, and sub-agents can even be external agents connected via MCP.
Agents invoke tools such as webhook nodes, code blocks, or native integrations during a live conversation to query backend systems, execute business rules, or pull data, with results returned into the conversation without exposing raw API responses or sensitive fields to the model.
