Chariot Solutions

85% of healthcare organizations have explored or adopted AI. Only 18% are actually ready to deploy it in care delivery.

That gap? It’s where most AI projects quietly lose steam.

The pressure to move is real. Boards want a strategy. Investors want a roadmap. But the top obstacles to AI success are data quality and readiness (43%), lack of technical maturity (43%), and shortage of skills and data literacy (35%).

Those are not technology problems. They are infrastructure and organizational problems, and they do not get solved by picking a vendor. Informatica

The gap between adoption and readiness is the defining challenge in Health Tech AI right now.

The organizations making real progress are the ones that got honest about where they stood before they started building. That work is less exciting than a product demo. It also tends to be the difference between a proof of concept and something that actually ships.

That's exactly the work Chariot Solutions does with healthcare and life sciences organizations every day. We are not just building the technology, but building the AI readiness behind it.

If your team is stuck in the gap between exploration and deployment, let's talk.

Last week, for our Tech Talks for HealthTech, we partnered with Layer 8 Security to host a panel called AI Is Writing Code. But Who's Responsible for What It Gets Wrong?

A few things that stuck with us:

The clean code illusion. AI-generated code often looks right. But as panelist Dan Costantino pointed out, the real danger isn't rudimentary bugs — it's architectural decisions that look fine on the surface and create problems at scale.

Speed without governance is a trap. Panelist Matt Winter put it plainly that we can't take all the gains on the front end without discipline on the back end. In health tech especially, a bad actor is always looking for your mistake and the investment to prevent that has to be made.

The skills question is real. Are we moving from developers as authors to developers as editors? Maybe. But both panelists agreed that understanding how to code still matters. Architectural judgment, pattern recognition, knowing when the AI is wrong, those are human skills, and we can't afford to let them atrophy.

Defense has a structural advantage, but attackers only need one way in. Security teams that aren't using AI to keep pace are already behind.

This is exactly the kind of conversation our industry needs to keep having.

And let us know if you want to be on our events mailing list for fall events.

Most AI chatbot demos stop at answering questions. This one goes further.

Join Sujan Kapadia, Chief AI Officer at Chariot Solutions, for "Not Another RAG Talk: Building AI Chatbots in Java with Spring AI" and see how LLMs can take real action inside your applications.

In this session, Sujan will walk through building a chatbot that:
• Queries databases
• Enforces role-based permissions
• Uses agentic patterns to control LLM behavior
• Applies practical guardrails like propose/confirm workflows

If you're working with Java, Spring, or exploring how to move beyond basic chat interfaces, this is a session you won't want to miss.

Hosted by Certara
Sign up here: https://ow.ly/iyjL50YP9Ek

If AI is writing the code… who’s responsible when it goes wrong?

That question isn’t theoretical anymore.

Join us at Philly Tech Week for a candid conversation on the future of software, security, and accountability. AI Is Writing Code. But Who’s Responsible for What It Gets Wrong? brings together industry leaders to unpack what this shift actually means in practice.

With studies showing that nearly half of AI-generated code may contain security vulnerabilities, the stakes are rising fast. This session will explore what developers, security leaders, and health tech teams need to be thinking about right now.

Wednesday, May 13
5:00 – 7:00 PM
University City Science Center, Philadelphia

Save your spot: https://ow.ly/1JgF50YVcvp

Not sure where to start with AI? You're not alone.

Chariot's AI Viability Assessment gives you a structured four-week path from "we think AI could help us" to a proof of concept, a viability report, and a clear decision on next steps.

Less guesswork. More confidence.
Let's talk: https://ow.ly/6ilo50YIfAF

If AI writes the code, who is accountable when something breaks?

Join us at Philly Tech Week for a timely conversation on the future of software, security, and accountability. “AI Is Writing Code. But Who's Responsible for What It Gets Wrong?” brings together Jeff Lipson of Layer 8 Security, Dan Costantino of ModMed, Matt Winter of Tiger Biosciences, and additional panelists to explore what this shift means in practice.

With reports showing that nearly half of AI-generated code contains security flaws, this session will dig into what developers, security leaders, and health tech teams need to think about now.

Wednesday, May 13
5:00 – 7:00 PM
University City Science Center, Philadelphia

Register here: https://ow.ly/5YSZ50YP1E2

AI has a lot of promise. It also has a lot of hype. Knowing the difference, for your business, is what matters.

Chariot's AI Viability Assessment cuts through the noise in four weeks. We dig into your workflows, run a proof of concept on a real use case, and give you an honest report on what's feasible, what the ROI looks like, and what comes next.

If AI isn't the right fit, we'll tell you that too.
Low risk. High value. Real answers.

AI has a lot of promise. It also has a lot of hype.
Knowing the difference — for your business — is what matters.

Chariot's AI Viability Assessment cuts through the noise in four weeks. We dig into your workflows, run a proof of concept on a real use case, and give you an honest report on what's feasible, what the ROI looks like, and what comes next.

If AI isn't the right fit, we'll tell you that too.
Low risk. High value. Real answers.

Everyone's asking should we use AI? — but the better question is where will AI actually work for us?

That's exactly what Chariot's AI Viability Assessment is designed to answer. In just four weeks, we work alongside your team to identify the right automation opportunities, test technical feasibility with a proof of concept, and deliver a clear roadmap for next steps.

No guessing. No wasted resources. Just a concrete answer.

👉 Ready to find out where AI fits your business? Everyone's asking should we use AI? — but the better question is where will AI actually work for us?

https://chariotsolutions.com/ai-viability/