Give operations leaders one governed model for process reality, target workflows, people, AI agents and connected systems.
One process architecture with owners, roles, units and linked documents.
Shared BPMN rules, documentation templates and managed versioning.
Process Mining shows how the same process runs across systems, units and locations.
Detected deviations become prioritized improvement, automation and AI initiatives.
Cloud or on-premise, SSO, roles, access rights, security requirements and support — where each capability is confirmed.
Choose one with a measurable business problem.
Record the starting KPIs and the available data.
Build the model and analyze the actual execution.
Create the target model and a change backlog.
Define what success looks like before you scale.
A corporate pilot begins with discovery. Together we select one material process and define the expected result. The required outcome is a running workflow with human tasks and AI agents. Timing is agreed after discovery.
A corporate pilot starts with discovery and one material process. Together, we define the expected business result and prepare the process for execution. The required pilot outcome is a running workflow with human tasks and AI agents, configured for the agreed operating context.
Timing is agreed after discovery. It depends on process complexity, available source materials, integration scope, security requirements and the people involved in validation and approvals. BP1.ai does not publish a fixed timeline before these factors are understood.
BP1.ai supports encryption, role-based access, process versioning and controlled AI actions. Customer data is not used to train models. Daily backups are retained for 30 days and include automatic integrity checks.
BP1.ai can be deployed in the shared BP1.ai cloud, a dedicated cloud environment or on-premise. The appropriate option is selected during discovery based on security, integration and operational requirements.