Our strategic narrative runs on one spine: the move from Yesterday's IT Playbook to Today's AI Playbook.
Yesterday's IT Playbook the governance discipline that built your reliability, before AI.
Today's AI Playbook how you adopt AI fast and safe. The how: assurance is earned in motion, one proven move at a time.
Arvind's story leads. It is the spine and the destination. Sue and Jen give that story arms and legs by answering the three questions every buyer is already asking. And Karina keeps us honest in how we say all of it.
That's the whole document. The rest is evidence, in their own words, for why we're recommending it.
The category
The umbrella that organizes everything below is Safe and Rapid AI Adoption for health systems. Two words, doing two jobs.
- Safe carries the clinical mandate. Patient harm avoidance, defensible governance, the safety discipline built over 20+ years at Kaiser, CVS Health, the VA, Mass General Brigham, Mount Sinai, and Children's Hospital of Philadelphia.
- Rapid carries the speed mandate. Health system executives are being pushed to adopt AI from every direction, faster than anyone planned. The win isn't slowing down. It's moving fast without it putting patients at risk. Speed only kills when the playbook can't keep up.
This is the position. The spine, the three questions, the proof ... everything that follows sits inside this category. What it drives toward: AI adoption that moves fast without ever outrunning patient safety.
The spine: how we operate inside the category
Yesterday's IT playbook was right for its world. For decades, IT and patient-safety governance assumed systems that behaved predictably: expected inputs, expected outputs, protocols and reviews you could write down. It built real reliability, and it deserved to.
Today's AI playbook is built for the world we're actually in. AI is probabilistic. It learns, it drifts, and its outputs change with the data, not with the rules you wrote. The risks are familiar (diagnostic errors, transitions of care, loop closures), but the causes have shifted: from manual, to EHR-rule-based, to AI and constantly-learning models. The same governance discipline now has to govern something that won't sit still.
The win condition: move fast AND safe. You can't have one without the right playbook. Speed without it puts patients at risk; caution without it leaves you behind. Today's AI playbook is how you get both, one proven move at a time. And the word at the center of it is Karina's, which reframes what the buyer is really buying.
Why change?
Arvind's case: the game changed underneath the governance. Yesterday's IT playbook assumed systems that behave predictably. AI doesn't. It's probabilistic, it learns, it drifts, and it scales a single decision across every patient at once. Running AI on the playbook built before AI isn't safe, it's a blind spot. This is why "AI is an architecture, not a point solution" matters: you can't bolt safety onto one tool, you have to govern the whole environment.
The failure mode she names is precise: health systems are "struggling to fit this brand new technology into existing governance frameworks, and it's not a great fit." Square peg, round hole. Her recommendation became our line: stop force-fitting new AI problems into a safety program built before AI existed. We never say the old work was wrong. We say the world it was built for has changed.
Why now?
Jen's case: the urgency isn't theoretical, and the buyer doesn't need convincing the game changed. They're already living it.
What "now" actually looks like in a CIO's week, from Jen's live conversations:
- Epic flips on three AI features without asking.
- A vendor takes the radiologist to golf, and now they want a new tool.
- Microsoft is pressing on the Copilot rollout.
- The board wants ROI on the millions already spent.
- And the CIO is the 3 AM phone call when something breaks.
Her summary: "I'm living it, I'm breathing it. I'm on the battlefield." And the trap she flagged: "AI has killed the concept of a maturity scale. Most people are in all maturity lanes at once." The reason to move now is that the AI is already moving, and the risk is already real, with or without a plan. Sue's "AI Reach" sharpens the stakes: one bad consent flow doesn't harm one patient, it scales to 100,000.
Why Eisner Amper?
Sue's case, the sharpest differentiator we have: the gap isn't knowing what to do. Governance theory is everywhere. The gap is knowing how to operationalize it.
Eisner Amper's answer, in Sue's words: "We partner with you to get you where you need to be," not dropping the deck and wishing you luck. We design the workflow with you, build the feedback loop into the application, and stay through deployment and monitoring.
Arvind's reinforcement: the differentiator underneath the partnership is clinical integration. Platforms hand you software. We bring the rubric, the methodology (five pillars across the full lifecycle), and 20+ years of patient-safety work at Kaiser, CVS Health, the VA, Mass General Brigham, Mount Sinai, and Children's Hospital of Philadelphia. And from Jen: when there's no guidebook, the way you move safely is on proven ground, the patterns from peer systems who already made the move.
The weighting, stated plainly
Arvind leads. He owns the spine (Yesterday's IT Playbook to Today's AI Playbook), he leads Why Change, and he anchors Why Eisner Amper with clinical integration and the methodology. Jen owns Why Now. Sue owns Why Eisner Amper. This matches how the team already operates: in their own intakes, both Sue and Jen deferred to Arvind on direction ("this is Arvind's practice, that's the message we should go with").
Karina: the tone, and the word at the center
Karina's role is different. She doesn't own one of the three questions ... she governs how we answer all of them. Three contributions, and the first is foundational.
She named what we're actually selling. The word "assurance" is Karina's: "The key word we always use is that assurance layer. They feel assured. Protected is too strong, but they have a path forward." Our entire spine rests on it. The buyer isn't buying governance, or a framework, or even safety in the abstract. They're buying the feeling of a path forward in a moment that feels pathless.
She set the guardrail. Never frame the buyer's existing work as antiquated. Tell a health system its protocols are outdated and it "screams you don't understand healthcare." In her words, "my stroke protocol keeps patients safe." We extend, we don't attack.
She surfaced the hidden objection. The buyer's first reaction is not "help me." It's "I'm good, I've got this." That changes how we open: we meet a confident buyer with respect, and let the specifics do the work. The confident buyer talks themselves into the room. We don't drag them.
In short: Arvind, Sue, and Jen build the argument. Karina makes sure we make it in a way the buyer can actually hear.
See it live
The direction above isn’t theoretical. It’s already standing as a working landing page and a lead-gen tool. We’d love your reactions to both.