What Is Opus?
Opus is an AI-native enterprise workflow automation platform designed to orchestrate complex, document-heavy, back-office and compliance-critical operations. It combines large language models, deterministic logic, human-in-the-loop controls, and deep system integrations into a single, structured execution layer. Instead of requiring engineers to hard-code every process, Opus allows business and operations teams to describe processes in natural language or via a drag-and-drop builder interface and converts these into auditable, reusable workflows that can be executed at scale.Prompt-to-Workflow
Describe processes in natural language and Opus generates executable workflows with tasks, branching logic, and typed inputs/outputs.
AI + Human-in-the-Loop
Combine AI agents with human tasks, reviews, and decisions for supervised automation that maintains control and accountability.
Compliance-Ready
Full audit trails, immutable logs, and enterprise governance for regulated environments like KYC, claims, and financial reporting.
Strongly Typed
Robust data contracts with validation, auto-linking of inputs/outputs, and predictable reuse across workflows.
Core Concepts
Opus organizes automation around two core primitives: Workflows and Jobs.| Concept | Description |
|---|---|
| Workflows | Design-time blueprints: graphs of tasks representing AI agents, human tasks, decisions, reviews, and integrations. Each workflow declares typed inputs and outputs, forming a strict contract. |
| Jobs | Live runs of a workflow—each job captures inputs, executes the graph, and logs results for traceability. |
| Tasks | Modular building blocks: Agent tasks for AI reasoning, Human tasks for tasks and reviews, Data tasks for connectivity, and Core tasks for workflow boundaries. |
| Workspaces | Team-level spaces within an organization where groups build and run workflows independently with their own collaborators. |
| Organizations | A company’s Opus account encompassing all workspaces, users, billing, and platform-wide policies. |
Task Types
Workflow logic is expressed through modular tasks that act as building blocks:Agent Tasks
Agent Tasks
Embed AI-powered reasoning and generation into workflows.
- Opus Agent: Maximum capability agent that takes a natural language task description and intelligently figures out how to accomplish it.
- Custom Agent: Simple one-shot LLM interaction from popular providers (OpenAI, Anthropic, DeepSeek, etc.) with explicit prompts and structured responses.
- Decision Agent: Automated routing based on conditions defined via natural language or logical expressions.
- Opus Code: Embed Python scripts for custom logic and transformations.
Human Tasks
Human Tasks
Implement supervised automation, governance, and human tasks.
- Human Task: Structured work items for people—collecting documentation, filling data fields, or making business judgment calls.
- Human Review: A person reviews outputs and can accept, reject, or edit before the workflow proceeds.
- Human Decision Agent: Same as Decision Agent, but a human evaluates the conditions and makes the routing decision.
Review Tasks
Review Tasks
AI-powered quality assurance at scale.
- Agentic Review: AI agents autonomously check previous AI outputs against defined criteria—key for workflows requiring mission-critical accuracy.
Data Tasks
Data Tasks
Handle connectivity and data movement.
- Import/Export Data: Ingest from and push to documents, applications, storage, or databases.
- Text Extraction (OCR): Transform images and documents into machine-readable text.
- External Service: Connect to any external REST API, with or without authentication.
Execute Workflow
Execute Workflow
Call another workflow as a sub-workflow with automated input/output mapping. Build libraries of reusable sub-processes (KYC checks, claims validation, document extraction) that compose into larger enterprise workflows.
How It Works
1
Design or generate your workflow
Use the Builder to design workflows visually, or describe your process in natural language and let prompt-to-workflow generation create an initial draft. Opus AI Assist helps you add, remove, or reconfigure tasks using natural language.
2
Configure tasks and data contracts
Define typed inputs and outputs at the workflow level. Configure agent prompts, human task forms, review criteria, and integrations. Mark inputs as required or optional with validation rules.
3
Preview and test
Run previews directly in the Builder to validate logic. See real-time state feedback, debug issues, and iterate before activation.
4
Execute and monitor
Activate your workflow and run it as Jobs—manually or via API. Every job produces an immutable audit trail: input payloads, intermediate results, review decisions, and final outputs.
Built For Regulated Environments
Opus is explicitly designed for high-stakes, compliance-critical operations. Every job produces a detailed audit trail supporting use cases like:- KYC/AML workflows — Identity verification, document validation, risk scoring
- Claims adjudication — Evidence review, policy matching, approval routing
- Clinical documentation — Medical record processing, compliance checks
- Financial reporting — Data extraction, validation, regulatory submissions
Opus is focused on enterprise workflow automation for back-office, document-centric knowledge work. It is not a chatbot platform, voice agent, or media generation system—its core competency is orchestrating AI, people, decisions, and systems around documents, data, and business rules.
Get Started
Quickstart
Create and run your first workflow in under 5 minutes.
Builder Guide
Learn how to use the visual workflow editor and AI Assist.
Workflows
Understand workflow structure, lifecycle, and best practices.
Jobs
Execute workflows and monitor job status and results.
Governance And Access
Organizations
Configure organization-level settings, policies, and integrations.
Workspaces
Manage team collaboration, roles, and resource boundaries.