Vendor-driven system transitions, increased IT complexity and escalating cyber threats are just a few of the pressures forcing companies to rethink their technology systems. More than a technical obstacle, such modernization programs should be treated as an opportunity to realign technology with strategic goals to drive tangible business value.

In recent years, Artificial Intelligence (AI) has captured the imagination of businesses and individuals alike.

While IT Transition Service Agreements (TSAs) are traditionally used to ensure the continuity of IT services post-transaction, they can often introduce complexities that frustrate or hinder the carve-out process.

Technology debt can manifest itself in various forms, including outdated applications, system architecture and poor code quality. These issues can lead to increased security vulnerabilities, as well as impede growth and integration efforts. Understanding and addressing technical debt during the technology due diligence phase therefore becomes crucial to ensure the success of an M&A transaction.