Chariot Solutions
IT consulting firm building Technology in the Service of Business. Founders of #PhillyETE Conference.
The biggest barrier to AI isn't choosing the right model. It's building a foundation of trusted, searchable, and well-organized data.
Hear Sujan Kapadia, Chief AI Officer, explain why data readiness is the foundation of every successful AI initiative.
Looking to turn AI into measurable business value? Chariot Solutions helps organizations build intelligent agents and AI-powered applications that automate workflows, unlock organizational knowledge, and solve real business problems.
Start the conversation with our team.
07/29/2026
AI doesn't have to transform your entire development process to deliver value. It can help your team today.
In this new post, Chariot consultant Mark Shvets shares practical ways developers can use AI right now to solve everyday engineering challenges without changing their tech stack or workflows.
This post explores why the biggest AI wins often come from solving today's problems, not chasing tomorrow's possibilities
Whether you're modernizing legacy systems or looking for ways to make your team more effective, this post offers practical techniques you can put to work immediately.
Read the full post:
https://ow.ly/cyay50ZtR4v
As AI becomes more capable, one thing becomes even more important: knowing your business.
Hear Joe Capizzi, Senior Director, Strategic Accounts & Client Engagement, and Sujan Kapadia, Chief AI Officer, discuss why domain expertise is the foundation for successful AI adoption.
AI doesn't usually stall because the models aren't good enough.
More often, it's people and processes uncertainty that get in the way.
Listen as Sujan Kapadia, Chief AI Officer, breaks down why organizations struggle to move from experimentation to adoption.
07/04/2026
Innovation has always been part of America's story.
For 250 years, bold ideas have shaped the way we live, work, and connect.
This Fourth of July, we're proud to build on that tradition from Philadelphia, helping organizations solve complex problems with modern software, data, cloud, and AI.
Here's to the innovators who came before us and those building what's next.
Happy Independence Day from Chariot Solutions.
The biggest mistake organizations make with AI isn't choosing the wrong model.
It's expecting AI to get everything right on the first try.
Hear why Sujan Kapadia, Chief AI Officer at Chariot Solutions, believes the best results come from treating AI like a collaborator.
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
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
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.
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.
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