When legacy systems hold decades of undocumented business logic, modernization efforts can quickly become high-risk initiatives.
CHALLENGE
A global hospitality organization faced a major digital transformation challenge: decades of business logic were spread across siloed legacy systems, making core processes unclear and critical documentation unreliable. This created significant risk as the company accelerated modernization under tight timelines, with limited resources and high analysis demands. Traditional approaches reliant on interviews and institutional memory risked costly oversights and disruption to daily operations.
SOLUTION
To address these challenges, Everforth used its AI-enabled Rapid Discovery Tool to rapidly map the client's technology landscape by analyzing codebases across reservation, loyalty, and property management systems. Reduces discovery timelines by 25% and delivers a more complete and reliable requirements baseline compared to traditional manual discovery approaches.
The tool also produced accurate as-is process documentation and revealed hidden dependencies that traditional methods would have missed. By pairing this automation with targeted interviews and structured validation, the team delivered a complete and reliable requirements foundation for implementation.
RESULT
By uniting people, processes, and technology, the team reduced discovery timelines by 25% while delivering a more complete and reliable requirements baseline than traditional manual discovery approaches. The resulting documentation and system intelligence provided stakeholders with a validated foundation for modernization planning, implementation readiness, testing, and migration activities. This integrated approach uncovered critical undocumented business rules and delivered a data-driven view of system behavior, helping reduce migration risk and improve confidence in modernization decisions.
Expert collaboration, structured methodology, and AI analysis created clarity and alignment among stakeholders. The documentation and logic maps now support implementation validation, automated testing, and more predictable migration planning.
