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Belgium 10-3-26 All Members Physical english

The Composable Enterprise: Engineered with AI

From modular business design to AI-driven pipelines, architectures, and operationsA composable enterprise is built on modular processes, API-driven ecosystems, low-code platforms, and cloud-native services. It promises speed and adaptability by allowing organisations to reconfigure their capabilities as conditions change. However, modular design alone does not guarantee resilience; the way these systems are engineered and operated is just as important.This is where AI is beginning to make a difference. Beyond generating snippets of code, AI is already influencing how entire systems are developed and run: accelerating CI/CD pipelines, improving test coverage, optimising Infrastructure-as-Code, sharpening observability, and even shaping architectural decisions. These changes directly affect how quickly new business components can be deployed, connected, and retired.In this session, we will examine how CIOs can bring these two movements together:Composable design is the framework for flexibility and modularity.AI-augmented engineering is the force that delivers the speed, quality, and intelligence needed to sustain it.The pitfalls of treating them in isolation: composability that collapses under slow engineering cycles, or AI that only adds complexity without a modular structure.The discussion goes beyond concepts to practical implications: how to architect organisations that can be recomposed at speed, without losing control or reliability. The outcome is an enterprise that is not only modular in design but also engineered to adapt continuously under real-world conditions.

Belgium 12-3-26 Physical english

The Third-Party Risk Reckoning: How far can you trust your vendors?

Tomato! Tomato! Tomato! Get your tomato now! Every vendor sells security. And every company depends on vendors, partners, and suppliers. The more digital the business becomes, the longer that list grows, and so does the attack surface. One weak link, and there is always one, or one missed update, and trust collapses faster than any firewall can react. What used to be a procurement checklist has become a full-time discipline. Questionnaires, audits, and endless documentation prove that everyone’s “compliant,” yet incidents keep happening. So it’s clear: the issue isn’t lack of policy, or maybe a bit, but mostly lack of visibility. Beyond a certain point, even the most secure organisation is only as safe as its least prepared partner (or an employee who hadn’t had their morning coffee). So how far can you trust your vendors? How do you check what you can’t control? And when does assurance become theatre instead of protection? Does it come at a different cost? Let’s exchange what works and what fails in third-party risk management: live monitoring, shared responsibility models, contractual levers, and the reality of building trust in a chain you don’t own. A closed conversation for those redefining what partnership means when risk is shared but accountability isn’t.

Belgium 19-3-26 Country Members Physical french

Vendor Detox: La consolidation vaut-elle le risque ?

Moins de Partenaires : La consolidation vaut-elle le risque ? Le problème est la prolifération des fournisseurs : trop d'outils causant de la complexité, une taxe d'intégration paralysante et de la redondance. La Taxe d'Intégration est le coût caché (en temps, en échecs et en ressources) d'essayer de faire fonctionner ensemble des systèmes disparates. Cet échange se concentre sur des stratégies éprouvées pour simplifier de manière agressive le parc technologique, consolider les fournisseurs et élever certains fournisseurs clés au rang de partenaires stratégiques.

March 12, 2026 Squad Session Invitation Only Physical english

The Third-Party Risk Reckoning: How far can you trust your vendors?

March 24, 2026 Squad Session Invitation Only Physical english

Killing Zombie Projects: Knowing when to stop, restart, or quietly let go

Every organisation has them, projects that keep running long after their purpose has faded. No one remembers who asked for them, but shutting them down feels riskier than keeping them alive. And eventually, people stay assigned, budgets stay allocated, and energy drains into work that no longer matters. Inertia at its finest.

March 26, 2026 Squad Session Invitation Only Physical english

Measuring Value in AI Initiatives: Defining ROI, accountability, and measurable outcomes in complex environments

AI projects continue to multiply, but proving their value remains difficult. Most organisations can track activity, not impact. Dashboards count pilots and models, yet few translate to measurable business outcomes. The result is familiar: success stories without clarity on what they actually delivered.

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Legal & General use AWS AI to transform Customer Experience, Speed, and Productivity

Using AWS, we now have a much more robust, elastic, and event driven architecture.” - Tariq Surty, IT Director, Retail Retirements Division, Legal & General

“Using AWS, we now have a much more robust, elastic, and event driven architecture.” - Tariq Surty, IT Director, Retail Retirements Division, Legal & General

Imagine you have over 5 million customers who send in paper forms amounting to 5,000 pieces daily. To best serve your customers—and to meet regulatory requirements—you need a way to process all these documents quickly and accurately. To meet this challenge, financial services firm Legal & General (L&G) modernized the daily ingestion of thousands of pension documents for its UK retail retirements division (RRD) using Amazon Web Services (AWS). L&G’s UK RRD migrated from its legacy scanning solution to AWS, using artificial intelligence (AI)–powered services. As a result, the division improved document processing speed, compliance with its regulatory service level agreements (SLAs), and staff productivity.

Modernizing Document Management Using AWS

L&G’s UK RRD has 5.2 million workplace pension members who send in more than 1 million paper documents per year, requesting, for example, a change of address or beneficiary. The division must process and respond to each one within a set period. It wanted to make the process more efficient, scalable, and cost-effective. “Using AWS, we now have a much more robust, elastic, and event-driven architecture,” says Tariq Surty, IT director for the RRD at L&G.

The UK RRD, alongside its local AWS team, created an internal proof of concept to ratify use of Amazon Textract, a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. The division then engaged AWS Professional Services—a global team of experts that helps companies use AWS—to complete its project quickly and reliably, from designing the proof of concept to scaling into full production.

Improving Processing Speed and Staff Productivity with ML

L&G’s cloud-focused solution for document management is Docusort. It processes documents with ML using Amazon Textract and Amazon SageMaker, a fully managed service that brings together a broad set of tools for high-performance, low-cost ML. Docusort classifies documents, extracts the relevant datasets, and pushes that data to backend systems to update customer information.

Using AWS, L&G can now process 1,000 documents concurrently in 30 minutes, and with the serverless architecture, its solution can scale up and down to meet any workload. Before, processing was limited by the number of people handling the documents. With these time savings, the UK RRD meets SLA requirements more accurately and consistently. As a result, the division has been able to redeploy five employees, improving business productivity.

Moving Forward with Generative AI

L&G plans to use its Docusort solution as a template for other use cases where ML might be useful. In particular, the company is exploring how to apply generative AI to processes such as managing complaints, supporting the underwriting process, and analyzing customer feedback.

“We’ve learned how to manage, train, and maintain ML models, and we’re in a great place to use generative AI for new use cases now that we have a proven modular, elastic, and serverless architecture, which is really exciting,” says Surty.

Technologies

Amazon SageMaker Amazon Textract

Partners

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Digital Transformation is redefining the future of health care and health delivery. All stakeholders are convinced that these innovations will create value for patients, healthcare practitioners, hospitals, and governments along the patient pathway. The benefits are starting from prevention and awareness to diagnosis, treatment, short- and long-term follow-up, and ultimately survival. But how do you make sure that your working towards an architecturally sound, secure and interoperable health IT ecosystem for your hospital and avoid implementing a hodgepodge of spot solutions? How does your IT department work together with the other stakeholders, such as the doctors and other healthcare practitioners, Life Sciences companies, Tech companies, regulators and your internal governance and administrative bodies?

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