Legacy systems

Govern what cannot simply be replaced.

Legacy software contains critical business capability, historical conventions, hidden dependencies, and accumulated technical debt. Safe change must respect that reality.

The challenge

Important constraints are rarely in one place.

Some live in architecture documents. Others live in build pipelines, runbooks, review habits, or the memories of experienced operators. Still others are revealed only when production fails.

Historical convention“This service must deploy after the ledger.”
Hidden dependency“This batch assumes a downstream window.”
Operational learning“A retry change amplifies load in this path.”
Explicit intentReviewable governance for the next change.

A progressive model

Turn institutional memory into governed knowledge.

01

Start with what is known

Bring existing standards, architecture principles, release policies, and business constraints into Policy Studio.

02

Learn from operation

Use validated incidents and runtime patterns to propose previously undocumented organizational intent.

03

Improve future change

After impact analysis and human approval, make that knowledge reusable across future software changes.