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Shadow Processes: The Workflows IT Never Knew Existed

Writer: Neil Macfarlane
Neil Macfarlane
Jun 15
3 min read


Every large organisation has shadow processes. The problem is most leaders, and IT teams, do not know they exist.

These are the unofficial workflows employees create to make work function. They emerge quietly over time, usually with good intentions, to navigate situations where official procedures fail. When customer need something urgently, or a system cannot handle an exception, employees improvise.  Eventually, the spreadsheets outside of core systems and approvals handled through chat apps becomes ‘how the business works’.

The issue is not malicious behaviour, but that the real workflow has drifted away from the visible one.


Shadow Processes Are Not Always Bad

Most shadow processes are created by capable employees trying to solve operational friction. In many organisations, they are evidence of adaptability rather than dysfunction. Teams create workarounds because systems are too rigid, approval chains are too slow, or operational reality changes faster than enterprise technology.

Some shadow processes are the only reason critical operations continue functioning efficiently. Employees often know exactly where formal systems fail and build practical solutions around those weaknesses. The problem is not the existence of shadow process, but their invisibility.

Once workflows move outside of governed systems, organisations lose visibility quickly. Data begins moving through unmanaged channels, approvals happen outside of auditable systems, and operational decisions become harder to trace. This creates growing exposure around compliance, data quality, security, and accountability.

These risks rarely appear overnight. They build quietly as teams create workaround to keep operations moving when formal systems no long match day-to-day manoeuvres.


Why Traditional Mapping Fails

Most process mapping exercises never uncover shadow processes because it is usually performed through workshops and interviews where employees describe the process they believe exists, or that they think leadership expects to hear.

Few organisations map the manual interventions and informal systems that employees rely on every day. Employees also tend to under-report shadow workflows because the workaround has existed for so long it no longer feels unofficial.

These invisible workflows often become deeply embedded in operational infrastructure. The larger the organisation becomes, the harder they are to detect. Every new platform, compliance requirement, or regional variant creates new friction points where unofficial workflows emerge. Businesses end up operating two organisations simultaneously: the official enterprise architecture and the unofficial operational reality beneath it.


How Large Enterprises Are Addressing This Challenge

Mature organisations are no longer relying on interviews and workshops alone. Instead, they are shifting towards technologies that observe work in real-time.

Process mining tools are increasingly used to reconstruct workflows directly from system event logs, revealing how information moves across ERP, CRM, and finance systems rather than how they were officially designed.

Some organisations are integrating platforms and workflow orchestration layers that reduce the need for offline workaround by making exceptions part of the official process rather than something handled outside it. More recently, AI-driven analytics are detecting anomalies in workflow patterns, highlighting where human behaviour consistently diverges from system design.

The goal is no longer documentation, but visibility. Once organisations can see how work flows across systems and teams, they can close the gap between designed processes and operational reality.

This is where organisations stop reacting to operational chaos and start scaling with control.


_____________________ 

About Praevisum 

Praevisum Galen provides automated, real-time data lineage across your entire enterprise. Our platform traces data flows from source through every transformation to final use —giving your AI initiatives the foundation they need to succeed while ensuring regulatory compliance and data trust. 

Learn more at www.praevisum.com 



 
 
 

2 Comments


Józefa Śliwa
Sep 08

Reading this reminded me of the time I was on‑call for a mid‑size retailer’s migration to a new ERP system. Everyone talked about the big data pipelines, the user‑facing APIs, and the scheduled nightly batch jobs, but we kept stumbling over a set of background daemons that nobody had documented. They were responsible for cleaning up orphaned cart records, syncing inventory across warehouses, and even nudging stale user sessions back to the login page. I spent a whole weekend tracing log files, only to discover that a tiny Python script launched by cron was spawning child processes that whispered to the main service through a Unix socket https://www.woocasino.com/en-AU/ Those “shadow” processes were the reason the system never crashed during peak…


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Gregorio Rivera
Sep 06

Reading this piece reminded me of the time I first discovered a “ghost” backup script running on our legacy server. I was troubleshooting a slow nightly deployment and, after hours of digging through cron logs, realized a hidden process was pulling data from an old database, duplicating it, and then silently failing. It wasn’t documented anywhere, and no one on the team knew it existed until I finally traced the stray network traffic back to that orphaned script https://www.aic.gov.au/ The whole incident forced us to audit every scheduled task and led to a complete rewrite of our workflow documentation. It’s funny how something as invisible as a shadow process can cause real headaches, yet also expose gaps in our monitoring…


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