Yes. We start software documentation writing with a discovery stage, where our engineers analyze your existing codebase, architecture, repositories, documentation, and other available knowledge sources. We reveal gaps and reconstruct undocumented system logic and dependencies. Then, we organize the findings into clear documentation that reflects how the system works.

Corsac can document legacy systems while supporting business continuity. As one of the software documentation companies working with complex and legacy environments, we integrate into your development processes, selecting the areas that require the most attention. This way, teams can preserve the vital knowledge and support the system without disrupting everyday work.

Our software documentation consultants check the prepared documentation against the actual software, without relying purely on the existing materials. We review code, architecture, dependencies, APIs, configurations, and project knowledge. A technical check helps reveal inconsistencies and confirm that the final documentation is usable and accurate.

Properly structured documentation can simplify audits and compliance reviews by helping teams provide technical information. Once Corsac’s experts document relevant architecture, data flows, processes, configurations, and controls, your team becomes more empowered to explain how systems operate. We also identify and fill the technical knowledge gaps to improve your audit readiness through consistent system understanding.

Yes, upgrading and managing software documentation is part of our services. We make the necessary adjustments as your software, architecture, APIs, or development processes change. Corsac reviews existing materials, identifies outdated information, and matches it with the current system, so that your software documentation doesn’t become another source of technical debt.

AI tools describe what the code says. A system that has evolved for a decade also contains dead paths, hardcoded exceptions, and behavior that contradicts its old specs. We use AI agents to scan the codebase faster, and our engineers verify each finding against the code and your team’s knowledge before it goes into the documentation, with a label showing how each fact was confirmed.

Timeline and cost depend on the size of the system, the number of integrations, and how much existing documentation can be reused. We confirm both after the discovery stage.