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Under NIS2, cyber resilience is no longer delegated to IT, accountability now sits with the board. Read Nicolas Neuville and Alexandre Vandeput analysis → https://okt.to/H5FdIJ Belgium has enforced NIS2 since October 2024, France finalises its transposition in 2026. Add CER, the Cyber Resilience Act and IEC 62443, and the message to energy leaders is consistent: this is a governance question, not a technical one. The organisations navigating it best aren't the ones documenting the most controls, they're the ones who can show clear ownership and decision-grade reporting.

There's still time to secure your place. Join Capco’s Jonny Mowlem, Rasha F. Hamdan, CFA, FRM, Mathangi V. and the IIBA as they discuss the approaches, challenges and opportunities involved in creating successful products. 12:00 – 13:00 BST | 30 July | Webinar Register today: https://okt.to/UykFCu

The biggest AI cost isn't the model. It's what happens when thousands of employees start using it every day. As insurers move from AI pilots to enterprise adoption, the challenge becomes AI consumption. Every prompt, document analyzed, customer interaction, and agent workflow consumes tokens. Individually, the cost is negligible. At enterprise scale, across thousands of employees and millions of transactions, it quickly becomes a material operational expense. Managing AI costs isn't just about choosing the right model. It requires these methods of rethinking the operating model around AI: - Designing workflows that use AI where it creates the most value - Establishing governance to monitor usage and cost - Building data foundations that minimize unnecessary processing - Measuring business outcomes alongside AI consumption Modernizing the insurance operating model means treating AI like any other enterprise capability that requires governance, financial oversight, and continuous optimization. At Capco, we're helping insurers move beyond experimentation by building operating models that allow AI to scale responsibly while keeping costs aligned with business value.

One idea from Lea Rizk, Jean-Uriel Guillaume Li et Mounir Zamzami paper https://okt.to/EvARHd has stayed with us. Many conversations around AI in banking focus on models. In practice, successful deployments are built on something much less glamorous: data quality, governance and explainability. If you haven't read their paper Machine Learning & LLM in Credit Risk Management yet, you can access it via the link above.

The future of consulting is powered by people and AI. At Capco, our Associate Talent Program (ATP) equips graduates with the consulting, technical and AI-enabled skills needed to help clients solve today's challenges. Through hands-on learning and exposure to Capco's AI capabilities, our Associates are preparing to deliver meaningful impact from day one. Meet some of the graduates beginning their consulting journey with Capco. Sam Cavens Greta Byrne Scarlett Dargan Makar Sitnikov Matthew Bull Ana J. Mosu Find out more: https://okt.to/HLGF7B #BYAW #LifeAtCapco

Fintechs gaining banking licenses doesn't necessarily mean they'll move faster. In American Banker, Capco's Daniela Hawkins explains that while bank charters provide greater independence, they also introduce regulatory oversight, capital requirements, and compliance obligations that can slow innovation. Read Daniela's perspective on what this means for fintechs and sponsor banks: https://okt.to/1wg04B #Fintech #Payments

This year, our Frankfurt Capco team took part in the Strong Viking Obstacle Run. 🏃🏃♀️🏁 The course included a wide range of challenges, from climbing and moving truck tires to running through fields and forests, crossing mud pits and tackling slides and obstacles. 💪 It was a varied and enjoyable experience, and we supported each other throughout the course. A good opportunity to spend time together as a team and take on a new challenge. 🏅

AI is changing software delivery in financial services. But the real shift is not simply faster code. It is the move from implementation capacity to engineering supervision: clearer intent, stronger validation, better architectural reasoning and safer production controls. For CIOs, CTOs and engineering leaders, this changes the question. ❌ Not: “How much faster can teams code?” ✔️ But: “Can teams prove that AI-assisted software is secure, explainable, testable and ready for production?” In regulated environments, speed only creates value when it comes with discipline. 🔗 Our new whitepaper explores how AI is reshaping the software development lifecycle today and what financial services firms can do to scale adoption responsibly. Read the whitepaper here: https://okt.to/2HixzG Authors: Sebastian Ehrig, Vladimir Ignjatovic, Manuel FRECHET

The distribution shift is becoming 𝐡𝐚𝐫𝐝𝐞𝐫 𝐭𝐨 𝐢𝐠𝐧𝐨𝐫𝐞. 𝐋𝐚𝐭𝐞𝐬𝐭 𝐋𝐈𝐀 𝐟𝐮𝐥𝐥-𝐲𝐞𝐚𝐫 𝟐𝟎𝟐𝟓 data shows FA representatives gaining further ground in Singapore’s life insurance market, ahead of bank and tied representatives by weighted new business premiums. For insurers and advisory leaders, this is no longer just a channel movement. It is a signal to rethink distribution strategy, advisor enablement and client engagement as expectations shift toward choice, transparency and relevance. Explore the market implications in Capco’s The Great Advisory Reset: https://okt.to/aDZKG8

AI is changing the way insurers think about one of technology's biggest strategic decisions: build or buy. As agentic AI lowers the cost and complexity of software development, sourcing is becoming less of a one-time choice and more of an ongoing strategy that balances economics, customer trust, brand, and differentiation. In a recent Digital Insurance, Partner Chinmoy Bhatiya explores why AI is redefining the build-versus-buy debate, and why insurers should continuously reassess sourcing decisions as technology evolves. Read the full article to learn how AI is reshaping technology strategy across the insurance industry: https://okt.to/TqJL9Q