Turn intelligence into useful workflows.
We bring AI agents and orchestrated workflows together with data, tools and domain context for intelligent operations.
Practical AI agents for real-world work.
AgentFlow focuses on AI agents and orchestrated workflows for intelligent operations. The right workflow, tools and level of human involvement are defined around the intended use.
A flexible, connected workflow system.
Illustrative conceptual layers; specific models, tools and controls depend on project requirements.
Agents that fit your domain and workflow.
Potential engineering focus areas for an agentic system.
Domain workflows
Map tasks and context for a specific work setting.
Tool integration
Consider how an agent may connect to selected tools.
Context handling
Define relevant data and information boundaries.
Workflow orchestration
Structure interactions between steps and services.
Human oversight
Identify where people review or guide a workflow.
Governance planning
Define access, review and operational expectations.
Agentic workflows across teams.
Illustrative workflow areas, not claims of deployed systems.
Engineering workflows
Explore support for product and engineering tasks.
Project operations
Consider information workflows across project work.
Knowledge workflows
Explore ways to work with selected knowledge sources.
Connected operations
Consider workflows around connected product systems.
An engineering workflow assistant.
A conceptual example for discussion only; not a customer case study or a promised outcome.
- Frame a bounded workflow and its context
- Identify data and tools for consideration
- Define review and human handoff points
From workflow opportunity to a defined solution.
A collaborative engineering path, tailored to project scope.
- 01DiscoverUnderstand tasks and context
- 02DefineMap tools and workflow boundaries
- 03BuildDevelop and integrate components
- 04EvaluateReview against agreed criteria