Turn an approved BPMN model into a running workflow

AI-NATIVE PROCESS EXECUTION

Turn an approved BPMN model into a running workflow

Assign work to employees, AI tasks and AI agents, call external systems, define approvals and keep the context of every step.

A diagram doesn't change the business until the team works from it

In many projects BPMN stays documentation: after sign-off the diagram is handed to developers, re-translated into requirements and rebuilt by hand in another tool. Context is lost, timelines grow, and the real workflow quickly drifts from the original model.

How it works

1

Design the process

Create BPMN from text, voice, images or Process Mining results. Refine roles, decisions, exceptions and the TO-BE.

2

Turn the model into a workflow

Deploy the approved process inside BP1 without rebuilding the logic in a separate BPM system.

3

Distribute the work

Assign steps to employees, AI tasks and AI agents according to each participant's role.

4

Run and observe

Execute the process, store events and use the real data for control and Process Mining.

5

Improve the next version

Compare model and execution, remove deviations and publish the updated workflow.

A closed loop an ordinary diagramming tool doesn't have

RecoverReconstructReimagineRunLearnImproveNew version

People and AI in one process

Human tasks

Actions, decisions and approvals where an employee and their accountability are required.

AI tasks

Bounded AI operations inside a process step: analysis, classification, preparing a result or another supported task.

AI agents

Participants that carry out a sequence of permitted actions within a defined role and context.

What an AI agent can do

  • Execute permitted actions autonomously
  • Work step by step with human approval
  • Call APIs and external systems
  • Analyze data and prepare results
  • Make decisions within defined rules

The business result

  • Less gap between model and implementation
  • Faster launch of the TO-BE
  • One context for people and AI
  • Execution events available for analysis
  • Process changes flow back into the model
  • Less dependence on a separate BPM team or manual re-setup

Frequently asked questions

What does Multiplayer AI mean in BP1.ai?

Real business work is multiplayer. It moves between employees, teams, systems and decisions. In BP1.ai, the process becomes the shared environment where multiple people and AI agents contribute to one outcome, responsibility stays visible and the work becomes part of the company’s operating system instead of disappearing into isolated chats.

What does AI Reimagine produce?

AI Reimagine creates a reviewable future-state process designed for the AI era. It helps the team rethink how work should flow between people and AI while keeping business intent, critical decisions and human control visible. Changes are reviewed before the process moves into execution.

How do employees and AI agents work in the same process?

The approved process creates one accountable workflow. Employees handle decisions, approvals and work that requires human judgment. AI can complete bounded tasks or act within defined permissions and rules. The organization decides where AI may act and where a person must review, approve or override the result.

What integrations are supported?

Corporate pilots can use REST API, webhooks, CRM and ERP connectors, and file import or export. The final integration scope depends on the selected process, systems involved and security requirements.

Don't stop at the diagram. Run the process and turn the model into real work.