Over the past year, AI firmly established itself as a foundational capability in healthcare, not an experiment, and no longer a novelty. By the end of 2025, the conversation had shifted from whether to invest in AI to how to deploy it in ways that drive meaningful outcomes.
That shift is setting the tone for 2026. Below, hear from our executive team on what stood out in 2025, and what they believe will matter most in the year ahead.
As adoption accelerated, health systems became more discerning, looking beyond features and focusing on measurable ROI, workflow alignment, and trust.
“In 2025, AI stopped being a ‘nice to have’ and became the norm. But health systems quickly realized that adoption alone didn’t guarantee impact; the technology had to deliver ROI, address real workflow challenges, and earn trust across teams.”
— Gail Airasian, Chief Growth Officer
This environment rewarded vendors that built AI with healthcare realities in mind. Platforms that could integrate cleanly into existing operations, support complex workflows, and demonstrate financial impact differentiated themselves quickly.
“As the novelty of AI faded, organizations began zeroing in on tangible ROI — balancing innovation with uncertain trust criteria and ongoing cost pressures.”
— Chris Gervais, Chief Technology Officer
The result wasn’t a pullback from AI, but a maturation of the market. Health systems doubled down on solutions that worked, while consolidation and switching behavior surfaced which technologies were truly enterprise-ready.
“Several coding vendors failed to meet early value claims due to immature products, operational complexity, or difficulty supporting real-world workflows.”
— Hamid Tabatabaie, Chief Executive Officer
“AI will no longer stand out simply for being AI — the novelty is gone. Health systems will expect every solution to prove its value.”
— Gail Airasian
In 2026, AI won’t be a deciding factor on its own. What will matter is proof: reduced costs, improved revenue capture, and operational relief for overburdened teams.
As AI becomes more deeply embedded across clinical and financial workflows, attention will turn to data quality, structure, and governance.
“The structure, context, and quality of data will come under scrutiny as more AI solutions act on it across the enterprise.”
— Chris Gervais
Health systems will prioritize platforms that not only use AI, but refine and operationalize their data for broader enterprise use.
AI investment isn’t slowing down; it’s getting smarter and more selective.
“Distressed vendors with limited adoption or unproven ROI are facing pressure, while platforms with demonstrable impact and extensible technology continue to command strong interest.”
— Hamid Tabatabaie
Organizations will favor platforms that de-risk adoption early, deliver value quickly, and scale responsibly within regulatory and operational constraints.
“Our goal is to deliver hard ROI, expand into more complex services, and lighten our clients’ operational load so they can capture more revenue with less effort.”
— Gail Airasian
AI isn’t going away. In 2026, it becomes something even more powerful: a proven driver of performance for the organizations - and vendors - who get it right.
