Ruleau makes data processes transparent, auditable and interactive

Regulated environments are setting a high bar for how organisations should use data and AI in decision making

““I live in fear of an auditor asking me to explain why a decision was made””

““I have no way of checking if our policy matches our implementation””

““I can’t see why our cases are failing, it’s a black box””

If your tools are compatible with Python they’re compatible with Ruleau

Ruleau loves running in AWS Lambda functions

“My policy and my processes are now the same thing”

“It’s python, it fits into our workflow, our engineers love it
”

View user-friendly documentation automatically generated from your code.

Automated business documentation is driven by source code/config to guarantee the accurate representation of what has been implemented
Automated analysis of test coverage, coding standards and data utilisation

Review and understand the decisions your processes are making

Automated audit trail of data flowing through the system, including fine-grained inputs and outputs for every step of validation, transformation and decision
Automated reporting on what decisions have been made and why – allowing managers to explain decisions to those affected (and to auditors!)

Enable “Human In The Loop” processes

Automated UI allowing authorised users to add human judgement to processes, overriding machine decisions or filling gaps in the process that can’t be automated
Efficient and effective workflow, fully controlled and auditable – understand who made what decisions and why, and be assured that they had permission to do so

Implementation from as little as a few new lines of code

Write or refactor your key logic using Python with Ruleau’s intuitive decision support library

Configure your process with references to Ruleau’s UI and optionally your database or storage resource of choice

Deploy a microservice and integrate via API, or run your process anywhere you can execute Python. Ruleau loves running in AWS Lambda functions!