Supporting Work

Systems resilience and workflow debugging.

Operational work focused on tracing failure paths, fixing brittle logic, and recovering broken records.

Problem Broken lead flows, AI edge cases, and noisy operational handoffs.

Action Reviewed logic paths and rebuilt a Salesforce recovery flow.

Result Hundreds of lost records restored and cleaner execution.

Carryover Useful for any role that depends on structured investigation.

Project view

This work is about getting an unreliable process under control and making the system easier to trust and use day to day.

Work Shape

The path from failure to recovery.

01 Failure path

workflow breaks under edge cases

02 Logic review

weak points mapped

03 Recovery build

broken records regenerated

04 Cleaner system

less friction, less failure

Basic overview

This project focuses on a live workflow where invalid records, brittle logic, and edge cases were disrupting normal execution across the system.

The aim was to identify where the process failed, recover the broken records, and leave the workflow in a more reliable state for the team using it every day.

What was fixed

Reviewed internal AI assistant logic to find where flows broke under edge cases.
Built a custom Salesforce path to regenerate invalid lead records.
Introduced clearer WhatsApp handling and quicker response templates.
Worked in a high-volume environment where the fix had to be practical and repeatable.

What the work shows

The strongest part of this work is not the platform. It is the habit of tracing failure, understanding the cause, and leaving the process in a better state.

Technical themes

Workflow Debugging AI Logic Review Data Recovery Process Design Operational Resilience