The data question three months of investigation could not answer.

An insurance organization needed to understand how a specific data element moved through and affected a large legacy environment. Experienced people had already spent more than three months investigating. Progress remained limited.

The problem was larger than locating a variable. The team needed to understand where it appeared, how programs used it and what behavior depended on it. Static search results could identify occurrences, but not provide the connected context needed for a confident decision.

The scale of the evidence.

The documented environment included approximately 48 million lines of code, 4,300 programs and 450,000 data elements. At that scale, a manual answer is difficult to make complete, repeatable or easy for another person to verify.

altitude80 ingested the application evidence and produced a connected view of the selected data element, the programs that used it and the relevant behavior. A comparison documented a reduction from roughly 60 hours of manual analysis to about 10 minutes for the repeatable automated investigation.

“I've been working on solving this issue for more than three months, and I haven't been able to make progress. I'm very impressed with what's been delivered.”

The value was the answer, not the inventory.

Program counts and elapsed time help establish scale. They are not the business outcome. The meaningful change was that a stalled question became an evidence-backed answer the team could follow and discuss.

That is the distinction between producing statistics about an estate and recovering knowledge for a decision. The useful deliverable connects the finding to its source, so a subject-matter expert can validate meaning and a technical participant can verify implementation.

Start where the decision is blocked.

A proof of value should not merely demonstrate that a technology can scan code. It should begin with a question the organization has struggled to answer and test whether connected evidence changes the quality or speed of the decision.

That approach makes the scope concrete: one application, complete programs and supporting artifacts, one consequential question and a result that both business and technical participants can examine.