What Early Aviation Can Teach India's Government IT Teams About Managing Rules at Scale

Before digital systems managed the world's airspace, air traffic controllers worked with paper strips. 

Each strip represented a single flight — call sign, altitude, speed, route. Controllers arranged them by hand on slanted boards, annotating and passing them off as planes moved between sectors. It was a thoughtful, human system, designed by people who understood the problem they were solving. 

It worked well — for the volume it was designed to handle. 

Then air travel scaled. The number of flights at busy hubs grew faster than the system had been built to accommodate. Controllers interpreting the same routing rules differently. Handoff errors between sectors. Incidents that, when reviewed, could not be fully reconstructed from the paper records available. 

The system was not broken. It had simply never been designed for the scale it was now being asked to carry. 

 

A parallel that is closer than it might seem 

India's government IT is navigating a very similar moment. 

The push toward digital public services — across tax administration, social benefit delivery, licensing, compliance, and citizen-facing applications — has produced an enormous growth in the number of policy rules that need to be created, maintained, and regularly updated. Rules for tax validation. Rules for benefit eligibility. Rules for document verification. Rules for how data moves between departments. 

Each of these rules was created at some point by someone who understood the policy behind it. Many were implemented by IT teams who translated that intent into code. Some live in spreadsheets maintained within specific teams. A number exist, in their most authoritative form, in the knowledge of officials who have been with the department long enough to remember why a particular rule works the way it does. 

That last category is the most fragile — and the most common. Because when those officials retire or move on, the rule remains in the system but the reasoning behind it does not. What gets left behind is an implementation without its context. The kind of gap that only tends to appear in a post-incident review, when the person who could have explained it is no longer reachable. 

This is the paper strip system. It works — until the volume or the personnel change exceeds what it was designed to handle. 

 

What scale failure looks like in government rule management 

It does not announce itself dramatically. It tends to look like this: 

A new digital service is launched. The policy rules are clearly defined in the source document. IT implements them. But three departments have overlapping eligibility criteria — and when an applicant's data touches all three, the rules interact in a way that nobody had anticipated during implementation. Applications that should proceed get held. Applications that should be reviewed get processed. Nobody has a single, consolidated view of all the rules in play, so identifying the conflict takes time that neither the team nor the applicant can easily absorb. 

Or like this: An official who has managed a specific set of validation rules for many years moves to a different role. Her successor spends months trying to understand why certain edge cases are handled the way they are — because the documentation, where it exists, does not capture the decisions behind the decisions. 

Or like this: An audit asks for evidence that a specific rule was applied consistently across all applications processed in a given quarter. IT pulls deployment records. Policy pulls their documentation. The two sources do not fully align. The review takes considerably longer than it should, and the findings require remediation that could have been avoided. 

 

What the aviation shift was actually about 

What the aviation industry eventually did — at significant effort and over time — was move from a distributed, person-dependent system to one where the rules, the handoffs, and the records were maintained in a way that did not depend on any individual's presence or memory. 

This did not remove human judgment. Controllers still made calls. They still handled exceptions. What changed was the infrastructure underneath them — standardised, auditable, and independent of who happened to be in the room that day. 

That is what a well-designed rule management system gives government IT. Not a replacement for policy expertise or engineering skill. A layer of infrastructure that matches the scale of what is actually being managed. 

Rules with version histories. An environment pipeline — development, testing, staging, production — so that changes are validated before they affect real applications. An audit trail on every execution, so that any decision can be reconstructed without needing to find the person who made it. And access for the people who understand the policy — not just the people who can write code. 

 

The scale India is building toward 

The numbers matter here. India's direct tax system processes hundreds of millions of returns each year. Large provident fund organisations manage accounts for tens of millions of workers. State tax authorities each manage millions of registered businesses. Every one of these systems runs on rules — rules that change when policy changes, when legal interpretations shift, when new schemes are introduced. 

Managing this at scale, consistently and auditably, is a genuine infrastructure challenge. The tools that were adequate for managing it five years ago may not be the right tools for the volume and velocity of the next five. 

The paper strip system was a thoughtful solution to a real problem. The people who built it were not wrong. They just eventually built something better — because the scale demanded it. 

Lexium BRF is built for government-scale rule management. Request a government-specific demo at kainest.com