Business transformation

From legacy processes to digital enterprises and ecosystems

IoT, cloud data storage, robotics, artificial intelligence… New technologies are creating unprecedented opportunities for your business, but also come with their fair share of challenges. Because they have the potential to profoundly change the way organizations operate, emerging business solutions require a strategic approach that goes beyond mere technology.

Business transformation comes in many forms:

Customer-centric: business solutions that impact how you interact with your customers
Human capital-centric: to maximize the engagement of your human capital
Operational excellence-centric: to transform your organization as an Industry 4.0 standard

In all cases, the goal is to improve customer experience, boost employee performance and achieve operational excellence.

to make optimum use of the opportunities offered by new business models, a successful business transformation roadmap requires a holistic vision

Examples of business transformations

Modern solutions can transform how your organization operates today:

Maximize performance as a hub in new distribution channels
Consistently bring effortless experience in your customers’ journey
Effectively align production planning, capacity and demand by monitoring, reviewing, improving and predicting performance
Use AI and recommendations solutions to improve accountability and enable self-steering teams
Foster an employee mindset focused on role modeling and engagement
And many more.

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From RPA to real autonomy (Agentic): How to choose the right automation and prove its value

Not all automation is created equal, and choosing the right level of automation and measuring its value effectively can make the difference between a successful transformation and a costly misfire. This document explores the three core levels of automation, Traditional Automation (RPA), AI-Assisted (Copilot), and Agentic AI (Autonomous Agents), highlighting their strengths, limitations, and key value metrics.

Klarna Experiment: Real-World reflections on Agentic AI deployment

Klarna, a global fintech leader, launched an ambitious AI initiative to automate its customer service operations across 23 markets and 35 languages. Partnering with OpenAI, Klarna deployed an AI assistant that handled over 2.3 million customer conversations in its first month, equivalent to the workload of 700 full-time agents.

The state of genAI at Microsoft, SAP, Salesforce and OpenText

To say that generative AI (genAI) evolves rapidly is an understatement. Keeping track of everything that’s happening can be overwhelming and time consuming. At the same time, you need to have a basic idea of what’s out there, or you risk falling behind. Luckily, our AI experts Wouter Labeeuw and Pieterjan De Schrijver did the heavy lifting for you.

GenAI in Finance: how to ensure governance and maximize returns

Driven by AI, finance departments are pivoting from traditional analysis to a more streamlined, automated approach that focuses on planning, risk management, and strategic decision-making. But that’s not the only way in which AI and genAI are changing work for finance teams. The CFO, together with the CIO, also plays a key role in AI selection, adoption, and governance.