Chariot Solutions

Chariot Solutions IT consulting firm building Technology in the Service of Business. Founders of Conference.

Chariot Solutions has achieved AWS Advanced Tier Services Partner status in the Amazon Web Services Partner Network, rec...
06/10/2026

Chariot Solutions has achieved AWS Advanced Tier Services Partner status in the Amazon Web Services Partner Network, recognizing our team’s AWS expertise and track record delivering cloud solutions across industries including gaming, healthcare, fintech, and life sciences.

This milestone reflects our continued investment in AWS certifications, customer success, platform modernization, data engineering, cloud-native development, and AI enablement.

“Reaching Advanced Tier in the AWS Partner Network is a reflection of the hard work and deep expertise our team brings to every client engagement,” said Mike Rappaport, CEO of Chariot Solutions. “This recognition reinforces our ability to meet clients where they are and deliver cloud solutions that drive real business outcomes.”

Read the Full Press Release Here:https://ow.ly/U7Pt50Z9xLe

06/04/2026

Here's what the AI hiring shift actually means for the industry.

A recent Wall Street Journal piece cuts through the noise: companies are still hiring, they're just looking for a very different kind of engineer. Mid- and senior-level talent with AI skills who can manage agent teams, catch coding errors AI still makes, and act as technical consultants implementing complex systems.

The bottleneck isn't the AI. It's finding engineers experienced enough to wire it up to the real world across banking, healthcare, pharma, and beyond.

The demand for strong software engineering hasn't gone away. It's gotten more specialized and the bar for experienced just got higher.

Worth keeping in mind as teams plan their next phase of AI adoption.
https://ow.ly/KoN050Z6bpN

85% of healthcare organizations have explored or adopted AI. Only 18% are actually ready to deploy it in care delivery.T...
05/27/2026

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 Co...
05/21/2026

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...
05/13/2026

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 Phill...
05/06/2026

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 pat...
05/01/2026

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...
04/29/2026

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

04/24/2026

AI is not just another step forward. It is a discontinuity.

That can feel uncomfortable. It should. The way forward is not to wait, it is to experiment.
In this clip, Sujan Kapadia, Chief AI Officer at Chariot Solutions, and Melissa Aarskug, EVP of Strategy and Growth at Druvstar, highlight a simple but critical idea: try the tools, compare outcomes, and learn by doing.

Because the real opportunity is not choosing between innovation and control. It is designing systems where both reinforce each other.
• Control belongs in the system, not just the prompt
• Accountability should be built in, not manual
• Trust comes from architecture, governance, and visibility

This clip comes from our webinar, AI Agents: Control, Governance, and Accountability, a discussion on how organizations can scale AI while maintaining trust and oversight.

Missed it? Watch the full webinar on our YouTube channel.

04/17/2026

AI agents are powerful. Without guardrails, they’re risky.

In this clip, Sujan Kapadia, our Chief AI Officer, shares what it really takes to operate AI agents responsibly:
• Controlled environments with restricted access
• Clear tracking of every action and decision
• Full traceability to answer not just what happened, but why

He also introduces a compelling idea: treating agents like employees, with defined roles, responsibilities, and guardrails.

This clip comes from our webinar, AI Agents: Control, Governance, and Accountability, a discussion on how organizations can scale AI while maintaining trust and oversight.

Missed it? Watch the full webinar on our YouTube channel.

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