Cigna’s Katya Andresen on AI governance and healthcare transformation

On the CAIO Connect Podcast, The Cigna Group’s Katya Andresen outlined how AI governance, human-centered leadership and change management are shaping healthcare adoption. She said responsible innovation, not technology alone, will determine how quickly AI improves patient outcomes and operations. Why it matters: - Healthcare organizations are moving from AI experimentation to operational use, and governance is becoming a key part of whether those efforts scale safely. - The way companies manage AI could affect patient outcomes, clinical decisions, coverage processes and the pace of healthcare innovation. What happened: - On a recent episode of the CAIO Connect Podcast, host Sanjay Puri spoke with Katya Andresen, Chief Digital and Analytics Officer at The Cigna Group. - The discussion covered AI governance, healthcare innovation, change management and human-AI collaboration. - Andresen drew on a career that began in journalism and moved into healthcare leadership. The details: - Andresen said her journalism background taught her to separate signal from noise, validate information quickly and make decisions under uncertainty. - She said those habits now shape her approach to AI leadership. - Andresen described AI leadership as a mix of curiosity, critical thinking and asking the right questions. - She urged young professionals to focus on creativity, judgment and problem-solving as AI changes the workplace. - Cigna had already built machine learning capabilities before generative AI became widespread. - The company also had governance frameworks in place because healthcare is heavily regulated. - Andresen said generative AI and agentic AI expanded Cigna’s ability to build predictive models, personalize healthcare experiences and improve efficiency. - She said AI maturity should be judged by how deeply AI informs business decisions and patient outcomes, not by technical sophistication alone. - Cigna embeds legal, cybersecurity, compliance and bias-testing teams into development work. - Andresen said this structure is meant to build accountability, transparency and safety from the start. - She said human oversight remains essential for clinical decisions and coverage determinations. Between the lines: - Andresen framed governance as an accelerator, not a brake, suggesting regulated industries may move faster when guardrails are built into the process. - She argued that many AI efforts fail when leaders treat them as technology deployments instead of changes to how people work. - Her comments point to a broader challenge for healthcare: adoption depends as much on trust, workflow redesign and communication as on model performance. - She also warned that hype around AI agents may outpace their near-term impact, even as their long-term influence grows. What’s next: - Andresen expects AI to reshape healthcare through tools such as intelligent voice agents in customer service and AI-powered care management systems for nurses and clinicians. - She said organizations will need continuous experimentation, strong leadership and a focus on meaningful problems to capture AI’s benefits. - Visible early wins will likely remain important for building employee confidence and broader adoption. The bottom line: - Andresen’s message: in healthcare, AI’s biggest gains will come from responsible governance, human judgment and change management working together, not from technology alone.