The Platform
Agents automate the work. To optimize it at enterprise scale, they need a platform: one that evaluates them against benchmarks, turns real-world experience into context they learn from, and puts humans in command, all of it operated from Prisma.
Agents
Do the work
Embed voice, reasoning, and text agents in complex workflows to run entire processes, end-to-end.
Workflows
Conditions, loops, branches, calculations, file operations and Python: critical decisions explicit, not inferred.
Conversational agents
Build once, deploy across voice, WhatsApp, SMS, email and Slack, on in-house voice models built for real calls.
Reasoning agents
Agents leverage long-horizon contact history, real-time signals, and shared databases to formulate their responses live in-session
Scalability
Modular workflows, components, and agents any team or region can reuse, making next deployment faster.
Performance
Optimizes agent behavior
Constantly evaluate agents and workflows against metrics so nothing ships unproven or drifts without being caught.
Northstars
Behavioral and business goals that every agent is graded against.
Tests
Full suite that can evaluate at all levels of abstraction, from entire workflows to individual tool calls.
Audits
An AI judge grades sampled live sessions so drift surfaces instantly without manual review.
Self-Improvement
Agents turn every outcome, exception and decision into learnings to optimize toward defined northstars.
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Open or manualContext
Compounds what agents learn
A shared data layer that complements your internal systems, and adds the infrastructure to capture agent interaction data.
External Systems
200+ native integrations connect the platform to the systems you already run on.
Edge
Every call, message, learning and outcome saved as structured data to scale intelligence.
Memory
Contact information and context from all prior interactions used by agents in-session.
Interfaces
Put your team in command
Purpose-built apps that turn agent activity into something your teams can see and act on.
Custom Apps
Build interfaces for any use-case: escalation queues, carrier ops, or a command center for an entire enterprise
Visibility
Observe live data, enabling you to make real-time changes on the fly.
Prisma
Operates the platform for you
Your chief of staff that builds agents, tests, data, and apps, and proactively raises what needs your attention.
Build
State an outcome in plain language, Prisma plans and builds the workflow, tests, tables, and app. One instruction instead of a multi-month project.
Manage
Prisma keeps a live read across your operation and flags any issues. Once flagged, issues can be diagnosed and rectified autonomously.
FAQs
The HappyRobot platform has the following components: Agents (the execution layer that handles conversations and workflows), Context (the data layer that agents write to and learn from), Performance (the evaluation and audit framework that verifies agent behavior), and Interfaces (dashboards and custom apps through which humans direct and monitor agents). It also has a fifth component called Prisma, an Intelligence layer that operates the platform on the user’s behalf. Users can interact with Prisma to plan and build workflows, draft tests and audits, and turn audit results into grounded recommendations.
HappyRobot is a complete agentic workflow orchestration platform, not just a chatbot or agent builder. A HappyRobot workflow is a composable graph of nodes such as triggers, AI agents, integrations, code blocks, data operations, and more, where the AI agent handles the conversation and reasoning while the rest of the workflow handles everything around it: pre-processing, business logic, data writes, and escalations.
The HappyRobot platform runs on managed, cloud-native infrastructure across AWS, GCP, or Azure, and supports both single-tenant or multi-tenant deployments, or even dedicated in-country deployments for data residency requirements. The platform also has direct integrations with multiple Contact Centre as a Service (CCaaS) infrastructure providers.
HappyRobot agents operate across voice, SMS, WhatsApp, email, web chat, Microsoft Teams, and Slack, and are actively deployed across several business functions such as customer support, sales, collections, human resources, finance, etc. and verticals include logistics, airlines, financial services, retail, utilities, manufacturing, energy, and more, spanning multi-country deployments at enterprise scale.
Every HappyRobot deployment is carried by a dedicated team (a Deployment Strategist, Forward Deployed Engineers, and a Customer Support Specialist) who own it end to end, with no handoffs or lost context as the deployment evolves. In most engagements, HappyRobot’s FDEs lead the build itself: designing workflows, configuring integrations, and building evals, with your team involved at design reviews, testing, and sign-off. Customer-led builds are also supported, with FDEs on call throughout. Every go-live is followed by a structured hypercare period, and the same team continues to support change management, new use cases, and market expansion after the deployment reaches maintenance state.
