January 13, 2026

3 Ways to Design for Connection: How to Build Scalable AI in Banking

The future of AI in banking belongs to those who design for connection—AI that works across the entire enterprise, not just in isolated projects. This requires planning for reuse, visibility, and governance from the start, transitioning from opportunistic "experimentation" to a strategic "enterprise value chain."

Articles

January 6, 2026

AI in insurance: moving beyond the hype

Despite strong interest and investment, most insurers are struggling to scale their AI projects beyond the testing phase because they're treating AI as a side project rather than embedding it directly into core business processes.

Articles

December 28, 2025

4 Blockers Stalling AI Implementation in Banking

AI implementation in banking is blocked by four issues: siloed projects lacking strategy, regulatory pressure due to retroactive compliance, legacy systems, and team skills gaps; all are solved by prioritizing connected, reusable AI components and compliance by design.

Articles

December 20, 2025

Build once, adapt often: a better way to scale AI

Insurers struggle to scale AI because they build single-use solutions instead of reusable systems. Success requires a modular approach where components are designed to be reused across different functions, accelerating deployment and improving results.

White Paper

December 17, 2025

Scaling up AI in Insurance

In this white paper we explore a practical framework for scaling AI that delivers measurable impact and grows with your business.

Articles

December 12, 2025

Agentic AI in insurance: hype or real value?

Agentic AI is a major buzzword in enterprise tech, but its practical application is still limited. This post clarifies what agentic AI means, explains why it isn't ready for widespread production use, and suggests a more grounded approach for businesses.

Articles

December 5, 2025

Developing a shared framework for agentic automation

Agentic AI is reshaping business. A shared framework, like those for self-driving cars, can guide adoption by defining AI maturity and helping manage risk and oversight.

Articles

November 28, 2025

How AI Differentiation will Decide the Future of Banking

The article emphasizes that the future of banking lies not just in adopting AI, but in using it for differentiation to avoid becoming a "robot bank" that offers undifferentiated, out-of-the-box experiences.

Use Cases

November 20, 2025

Helping claims work smarter with AI

By handling routine tasks like data extraction and document classification, AI can help claims teams work more efficiently and focus on complex cases that require human expertise.

Articles

October 30, 2025

The Silo Effect: Why Fragmented AI is Failing Banking

The article argues that fragmented AI in banking leads to a "silo effect" of technical debt and duplicated effort, preventing scale, and recommends treating AI as a connected, reusable strategic capability to achieve true enterprise-wide value and competitiveness.

CONTACT

3 Ways to Design for Connection: How to Build Scalable AI in Banking

AI in insurance: moving beyond the hype

4 Blockers Stalling AI Implementation in Banking

Build once, adapt often: a better way to scale AI

Scaling up AI in Insurance

Agentic AI in insurance: hype or real value?

Developing a shared framework for agentic automation

How AI Differentiation will Decide the Future of Banking

Helping claims work smarter with AI

The Silo Effect: Why Fragmented AI is Failing Banking