Process Copilot
From a sentence to a running, measured process.
Most process work stops at a diagram. Process Copilot takes a plain-language description of how your business operates and models it in BPMN, designs the screens, wires the integrations, and deploys it to a real engine you can run and measure.
Our design formula is a deterministic engine plus probabilistic AI judgment, so the result is automation that is reliable, not just impressive. You keep a standard, portable BPMN model at every step.
- Describe a process in plain language, get a valid BPMN 2.0 model on the canvas
- Deploy to a live engine, run real instances, and capture execution telemetry
- Connect service tasks to real integrations through a secure tool layer
- Insights spot bottlenecks and the copilot suggests improvements
How it works
Describe the process. The copilot draws it in BPMN, names the tasks, and designs the forms.
Deploy to the engine and run real instances. Service tasks call your integrations securely.
Execution data feeds insights, and the copilot proposes the next improvement. The loop compounds.
What Process Copilot does
One tool that carries a process from an idea to running, measured operations.
Model in BPMN from plain language
Describe steps in your own words and get a valid, standard BPMN 2.0 model you can edit on the canvas or upload from an existing file.
Reliable by design
A deterministic engine executes the flow while AI handles judgment. Validators check the model before anything runs.
Live execution runtime
Deploy to a real engine, run instances, and give people a task inbox in your own front-end technology.
Real integrations
Service tasks connect to your systems through a secure tool layer, so a process does real work, not just routing.
Insights, simulation, and ROI
Simulate a process to see its ROI before you build it, then measure bottlenecks and SLAs live once it runs, with the copilot proposing improvements.
Industry expert skills
Load domain expertise, such as finance or healthcare, so the model follows the right roles, compliance steps, and naming.
The formula behind reliable AI automation
Deterministic backbone+probabilistic judgment=reliable AI
Deterministic backbone
A standard BPMN engine runs the flow the same way every time. Gateways, tasks, and integrations are explicit and auditable, so behavior is predictable and portable.
Probabilistic judgment
AI handles the parts that need understanding: drafting the model, reading a document, choosing a tool, suggesting the next improvement. Judgment where it helps, structure where it counts.
Who it is for
Teams that need process work to end in running operations, not another slide.
Operations and transformation teams
Turn documented processes into live, measured workflows, with the ROI visible before and after go-live.
Regulated industries
Finance and healthcare teams get expert models with the right roles, controls, and audit trail built in.
Startups and business owners
See the ROI before you build. Simulate a process, get the numbers, and run only what pays off, without a big team.
BPM and automation practices
Move from static documentation tools to modeling, execution, and continuous improvement in one place.
See your own process running.
Bring a process you already know. In a short session we model it, run it, and show the insights, so you can judge Process Copilot on your own operations.