CFT

CFT For over three decades, we've turned data into advantag

CFT – Chicago Financial Technology brings together exceptional data engineering and data science talent with deep industry expertise to help businesses operate faster, smarter, and more efficiently.

Excited to be heading to ITC Vegas 2026!Looking forward to reconnecting with our clients and partners, meeting new peopl...
09/25/2026

Excited to be heading to ITC Vegas 2026!

Looking forward to reconnecting with our clients and partners, meeting new people across the insurance ecosystem, and exchanging ideas on where the industry is heading.

There is a lot happening across AI, Agentic AI, Data Engineering and automation, and we’re excited to share what we’ve been working on at CFT.

If you’ll be at ITC Vegas this year, let’s connect and find some time to meet.

See you in Vegas!

These are some of the key benefits our clients are seeing as they implement Agentic AI workflows:1. 24/7 availability ac...
09/16/2026

These are some of the key benefits our clients are seeing as they implement Agentic AI workflows:

1. 24/7 availability across customers and operations;
2. Complex workflow automation, beyond simple repetitive tasks;
3. Lower cost to serve by reducing high-volume manual work;
4. More consistent outcomes, while still adapting to different situations;
5. Grounded, reliable responses based on trusted enterprise data;
6. Personalization at scale.

But the real value comes when agents are connected to the right data, systems, APIs and business rules, allowing them not just to answer questions, but to actually take action.

This is where Agentic AI and Data Engineering come together.

We’re seeing this transformation firsthand with our clients, and we’re more than happy to be the delivery partner helping turn Agentic AI from an idea into working enterprise processes.
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Up to 95% of P&C personal lines policies may eventually go through Straight-Through Processing, with no underwriter invo...
09/16/2026

Up to 95% of P&C personal lines policies may eventually go through Straight-Through Processing, with no underwriter involvement.

That is one of the key observations in McKinsey’s analysis of the future of P&C underwriting.

But reaching that level of automation is not only an AI challenge. It is a Data Engineering challenge.

In the Agentic AI projects we work on, agents need to collect, validate and enrich data from multiple sources, apply business rules, identify exceptions and trigger the right actions.

For that to work reliably, the underlying data must be integrated, accessible, governed and trusted.

This is why we see Data Engineering and Agentic AI as two parts of the same transformation.

AI provides the intelligence. Data Engineering makes it reliable and scalable.

By the end of 2026, Gartner predicts that 60% of AI projects will be abandoned. And in many cases, the problem won’t be ...
09/02/2026

By the end of 2026, Gartner predicts that 60% of AI projects will be abandoned.
And in many cases, the problem won’t be the AI model. It will be the data underneath it.

AI doesn’t fix messy or unreliable data. It learns from it, scales it, and produces answers faster, often with enough confidence to make those answers look trustworthy.

The first question should simply be: Is our data actually ready for AI?
The organizations making real progress with AI understand this. Before scaling models, they are doing the less exciting but essential work: bringing data together, improving its quality, establishing governance, and making sure people can trust it.

This is also where CFT’s 35+ years of data engineering experience becomes particularly relevant.
Long before the current AI wave, we were building production-grade data foundations for insurance and financial services organizations. Today, that same foundation is what makes it possible to move AI beyond experiments and into real business processes.

If you’re serious about taking AI from pilot to production, start with the data.

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Insurance data migration is not just about moving tables from one system to another.Policy, claims, coverage, billing, p...
08/27/2026

Insurance data migration is not just about moving tables from one system to another.

Policy, claims, coverage, billing, parties and transactions are deeply connected. If those relationships are lost, the data may migrate - but the business knowledge doesn’t.

At CFT, we combine 35+ years of data engineering experience with deep insurance domain expertise to preserve those relationships while building modern, governed data foundations.

Because successful migration should move more than data. It should preserve knowledge and unlock what comes next.
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AI is only as powerful as the data behind it.Before AI can deliver real business value, the foundation has to be right: ...
08/27/2026

AI is only as powerful as the data behind it.

Before AI can deliver real business value, the foundation has to be right: clean, connected, governed, and built for scale.

At CFT, we’ve spent 35+ years building that foundation - and today, we’re making it AI-ready.

Smart Solutions. Greater Impact.
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For 30+ years, we’ve worked with insurers on one of the hardest parts of technology transformation: turning complex data...
08/27/2026

For 30+ years, we’ve worked with insurers on one of the hardest parts of technology transformation: turning complex data into business insights.

AI changes what’s possible, but it doesn’t change the fundamentals.
To move AI from a promising pilot into production, insurers need trusted data, strong architecture, deep understanding of their business processes, and solutions that integrate with the systems already running the business.

That’s where our experience matters.
At CFT, we bring together insurance domain expertise, decades of data engineering experience, and modern AI capabilities to build solutions designed for real-world production environments.

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