Level AI Adds Cardinal Health SVP to CX Advisory Board

Level AI has named Shane Abeyratne, senior vice president at Cardinal Health, to its customer experience advisory board. The appointment brings a senior healthcare-sector operations and service leader into Level AI's circle of advisors, who help shape the company's product direction and go-to-market thinking on customer experience.

Details on Abeyratne's specific mandate within the advisory board, or on other members joining alongside him, were not disclosed. The move follows a pattern common among AI-enabled CX vendors: recruiting executives from large, operationally complex enterprises to validate and stress-test product roadmaps against real-world service demands.

Advisory board appointments like this one are a signal of where an AI-CX vendor wants its credibility to come from. Bringing in a senior leader from a large healthcare distribution and services company suggests Level AI is looking to deepen its relevance in complex, highly regulated, high-volume service environments — the kind where contact centers, case management and compliance intersect.

For leaders evaluating AI platforms for customer or employee experience, these appointments are worth watching less as standalone news and more as a proxy for strategic direction: who a vendor recruits to advise it often foreshadows which verticals, use cases and enterprise buyers it intends to pursue next.

Advisory board news rarely moves markets, but it does move narratives — and narratives shape buyer trust long before a product demo does.

Most coverage of advisory board hires treats them as vanity news, but they're actually a quiet signal of positioning: vendors recruit credibility from the industries they most want to sell into next. If you're evaluating an AI-CX platform, don't just read the press release — ask what problem the advisor's background was chosen to address, and whether that maps to your own operating complexity. A name on a board is not proof of capability; it's a hypothesis about market fit that still needs to be tested against your own service data.