Automation Workflow Case Study: Save 10 Hours/Week
- Rodrigo Artuso
- 6 days ago
- 2 min read
TL;DR
What: Broke automation pipeline causing duplicate tickets and lost recordings
How: End‑to‑end workflow repair (from discovery to documentation)
Benefit: Zero duplicates, 100% recording reliability, 10 hours/week saved
The Challenge: Broken Automation & Technical Knowledge Gaps
Our client’s automation workflow for support‑ticket triage and call‑recording archiving began to fail intermittently:
Duplicate Tickets flooded the queue, overwhelming support staff.
Missing Recordings forced agents to reconstruct conversations manually.
Technical Blindspots left the team unable to troubleshoot scripts in‑house.
Result? Dozens of hours wasted each month chasing errors—time better spent on customer success or innovation.
Our Solution: Holistic, Methodology‑Driven Automation Repair
True workflow repair goes beyond quick fixes. We apply a four‑step framework:
1. Discovery & Process Mapping
Interviewed stakeholders to map each automation touchpoint.
Uncovered outdated API calls and logging gaps.
2. Root‑Cause Analysis
Reviewed scripts line by line.
Identified a misconfigured retry loop causing duplicate tickets.
Found outdated storage credentials breaking recordings.
3. Implementation & Testing
Refactored retry logic for idempotence, preventing duplicate creations.
Updated credential management and introduced health‑check routines.
Built robust logging so failures surface immediately.
4. Knowledge Transfer & Documentation
Published a detailed Confluence guide on the new workflow.
Ran a hands‑on workshop to empower the client’s IT team.
Impact: 10 Hours of Weekly Time Savings
Zero Duplicate Tickets—support queues are clean.
100% Recording Reliability—all calls are archived automatically.
10 Hours Saved Per Week—teams redirected to high‑value tasks.
Our client now owns their automated workflows, quickly diagnosing and extending them as needed.
Key Takeaways for Automation Success
Holistic Understanding: Map end‑to‑end processes before coding.
Robust Error Handling: Idempotence and health checks prevent cascading failures.
Empowerment Through Documentation: Clear guides empower support teams to become workflow owners.
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