In 2026, 80% of AI projects fail to deliver business value, and that gap is related to a systems problem. Most teams can get a prototype working in a weekend, connect an API, build a simple interface, and see the model respond. Then reality hits: the outputs are inconsistent, the costs spike at scale, the compliance team has questions, and the user experience falls apart under real load.

Every 24 hours, a hospital somewhere in Europe faces a data breach. Healthcare is the single most targeted industry for cyberattacks globally, and EMR systems sit right at the center of that bullseye, holding the most sensitive data a person can have.

Over 80% of online travel bookings are abandoned if the process feels too long or confusing. At the same time, many hotels still rely heavily on online travel agencies (OTAs) and other distribution channels, losing 15–25% of every booking to commissions.

Sometimes, custom EMR projects can become expensive, slow, and difficult to adopt, even when the goal is clear from the start. Scope gaps and late security decisions often create bigger problems than missing features. But we know how to fix it.

Most enterprises run across two or more cloud providers. Each new service speeds up delivery, and it also adds another set of identities, configurations, and audit trails to manage. For security and risk leaders, that growth brings a hard question: How to prove our controls work at any moment, not only during an audit?

The average hospital works with dozens of external systems. Large health systems may manage hundreds of interfaces at once. Industry reports estimate that health IT teams spend up to 30-40% of their time maintaining existing integrations instead of delivering new capabilities. And interoperability gaps remain one of the top barriers to digital transformation.
