AI
Create an AI and data operating model built for growth
AI and data can transform your organisation, but technology on its own won’t deliver lasting business value. Success depends on having the right people, governance and ways of working.
AI & Data Operating Models
Valcon helps you build the organisational engine that turns AI and data ambition into measurable business outcomes. By aligning strategy, delivery and capability, we help you create an operating model that supports your priorities.
Talk to our AI & Data Operating Model experts.
Whatever your challenge, our specialists can help you find a clear way forward. Talk to us about what you want to achieve and how we can help make it happen.
Associate Partner
Irik Tolboom
75%
Nearly 75% of technology leaders say their operating model will need to change within the next 12–18 months to successfully scale AI.
Source: Deloitte Global Technology Leadership Study, 2026
PRODUCTION READY AI
Why AI and data initiatives lose momentum
Many organisations begin their AI journey with strong ambitions. As investment grows, so does complexity, teams develop different ways of working, responsibilities become unclear and governance struggles to keep pace. The result is slower delivery and AI initiatives that fail to achieve their full potential.
The organisations that scale successfully have something in common. They build an organisational engine that connects people, processes, governance and technology, enabling AI and data to deliver consistent business value across the organisation.
How we help organisations scale with confidence
Design the right operating model
We design a Data & AI operating model tailored to your organisation, defining how teams, capabilities and responsibilities are organised to deliver value effectively.
Establish ownership & governance
We define governance and ownership so Data & AI initiatives can be prioritised, governed and scaled consistently.
Build capabilities to scale
We help establish capabilities required to embed Data & AI into the organisation and reduce dependency on external support.
What success looks like
Our AI & Data Operating Model service helps you with:
Results
Turn AI and data investments into measurable business value.
Collaboration
Improve collaboration across business and technology teams.
AI & data
Strengthen internal AI and data capabilities.
Ownership
Create clear ownership, governance and accountability.
Delivery
Accelerate the delivery of AI initiatives and data products.
Scalability
Build an organisation ready to scale with confidence.
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Case Study
Keeping critical Mendix applications secure, stable and business-ready
Situation A leading provider of fuel distribution services needed reliable ongoing support for its Mendix application landscape after the initial development phase. Once the applications were live, the client needed a consistent way to manage periodic updates, user requests, monitoring and bug fixes. Without active support, issues could disrupt production workflows, slow down users and…
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Case Study
Using a cloud platform to accelerate AI and data product delivery in construction
Situation A leading European construction and civil engineering company had ambitions to become more data driven and be able to scale the creation of data and AI products. But building the required data infrastructure and platform manually was not a viable option. The scale of the company’s ambition meant they needed a more better way…
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Case Study
Faster project delivery and stronger forecasting for a leading energy infrastructure provider
Situation A leading provider of Denmark’s electricity and gas transmission was dealing with rapid growth and greater complexity in its external environment. Its technology infrastructure was growing rapidly to deal with these challenges, but its project execution capability was limited and not growing at the same rate. As a result, these pressures were exposing issues…
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Case Study
Improving delivery control for major railway renewal projects
Situation A leading provider of railway infrastructure management was responsible for complex railway renewal projects. It needed to improve control over the projects that were running late and were over budget, due to problems with project delivery. Teams needed a systematic way to track progress and spend, understand where any work was being blocked and…
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Case Study
Creating programme visibility during a large-scale banking separation
Situation A leading provider of financial services and customer credit products in the UK retail sector needed to build its own banking capability while migrating customers away from its parent bank within a fixed timeframe. The separation involved multiple stakeholders, third parties and interdependent workstreams, creating the need for greater programme control, stronger governance and…
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Case Study
Building a product-centric data, analytics and AI operating model in the defence industry
Situation A leading defence organisation’s technology function was not delivering the expected business value. Inconsistent processes, inefficient delivery and embryonic data, analytics and AI maturity were creating complexity and limiting the organisation’s ability to function as effectively as it might. The company needed a product-centric operating model for data, analytics and AI that could reduce…
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Case Study
Building a scalable data platform for BI, data science and AI use cases in the construction industry
Situation Our client, a leading European construction company, had several classic data warehouses to house its data. But this set up was limiting its ability to share data and scale new use cases across the organisation. To become more data driven, the business needed a platform that could support its existing reporting requirements, while creating…
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Case Study
Building a clear data roadmap for governance and security in the heating engineering industry
Situation A leading provider of heating and hot water solutions needed a clearer view of how its data could support its business goals and also needed help to make better use of its new data platform. The company lacked a clear vision and strategy for its data. It needed to define how it wanted to…
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Case Study
Building trusted product data to reduce regulatory risk and improve sales visibility
Situation A leading provider of assistive products and solutions for mobility, patient handling and daily living needed stronger control of its product data as the sector’s regulatory demands increased. Due to fragmented systems and data repositories, the company did not have a clear view of where the relevant data was held across systems and subsidiaries…
WHY VALCON
Why organisations choose Valcon
Building an AI and data operating model helps create an organisation that can consistently turn ideas into measurable results.
Valcon combines consulting, data, technology and AI expertise to help organisations embed the governance and capabilities needed to make transformation stick. We don’t stop at strategy. We help implement the changes that enable long-term business value.
Ready to build the engine for sustainable growth?
Whether you’re establishing new AI capabilities or evolving existing ones, we’ll help you create the organisational engine that enables AI and data to deliver measurable business outcomes today and into the future.