AI System for Testing Autonomous Workflows Before Deployment

The problem

In day-to-day operations, workflows, sample cases and authority rules are held in separate records and files, preventing the team from reviewing the same case in a single view.

As a result, the link to source evidence can be lost while preparing failure scenarios and a checklist, leading to repeated checks and uncertainty about the basis for the decision.

Incomplete automation may overlook side effects or incomplete rollback coverage, while poorly controlled automation risks corrupting live records.

What we set out to improve

• Time required to prepare failure scenarios and a checklist for review
• Correct routing of cases involving side effects or incomplete rollback coverage to the appropriate specialist queue
• Recording of recommendations corrected or rejected by the process owner and systems administrator

How the system works

1. 01 Retrieve workflow, sample case and authority rule data from an authorised source
2. 02 Verify the source system, record identifier and recency information
3. 03 Transform the fields into the target process schema
4. 04 Prepare failure scenario and checklist drafts
5. 05 Compare the drafts with business rules and source records
6. 06 Check for exceptions involving side effects or incomplete rollback coverage
7. 07 Obtain the process owner's and systems administrator's approval, correction or rejection
8. 08 Write the input, recommendation, changes and final decision to the audit log

Methods we used

• Source-traceable data extraction from workflows, sample cases and authority rules
• Structured output that restricts failure scenario and checklist fields through business rules
• An exception gate that separates cases involving side effects or incomplete rollback coverage
• A queue that shows the source and recommendation together for the process owner and systems administrator
• Duplicate-processing controls and rollback records to mitigate the risk of corrupting live records

Where people stay involved

Data and security

Only the fields required for the task are processed from workflows, sample cases and authority rules. Source-system permissions remain in force, and personal or commercially sensitive data is minimised before being provided to the model. Every read, recommendation, human amendment and write to the target system is logged.

Who this suits

Frequently asked questions