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AI Transformation Services

Our UK-based transformation consultants and analysts specialise in defining requirements and solutions for intelligent process automation, enhancing efficiency and driving positive change for our clients of all sizes.

Whether you’re still exploring your options or have a clear path in place, we support the analysis and implementation of cutting-edge digital solutions.

We scope small incremental changes or full programmes – integrating new technologies such as AI and process automation to ensure lasting impact.

We partner with our clients to ensure technology delivers real value:

  • Automation and AI are implemented thoughtfully, only where they truly enhance outcomes
  • Advanced tools are used to empower, not replace, human workers
  • We support workforce reskilling to help teams adapt and thrive alongside new technologies

Explore our services and discover how we can help add value to your business.

News and Articles

Explore our collection of insightful business transformation and technology news articles

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Knowledge Cards

These pages give overviews of technical terms that you may encounter in transformation programmes, along with real world examples and FAQ

Neural-Symbolic Reasoning

Neural-symbolic reasoning is a method that combines neural networks, which are good at learning patterns from data, with symbolic reasoning systems, which use rules and logic to draw conclusions. This approach aims to create intelligent systems that can both learn from experience and apply logical reasoning to solve problems. By blending these two methods, neural-symbolic reasoning seeks to overcome the limitations of each approach when used separately.

AI for Email Marketing

AI for email marketing refers to using artificial intelligence tools and techniques to improve how marketing emails are created, sent, and managed. These tools can analyse data to decide the best time to send emails, suggest subject lines, and personalise content for each reader. By automating repetitive tasks, AI helps marketers save time and reach customers more effectively. AI can also track how people interact with emails to learn what works best, leading to better results over time.

Privacy-Preserving Data Sharing

Privacy-preserving data sharing is a way of allowing people or organisations to share information without exposing sensitive or personal details. Techniques such as data anonymisation, encryption, and differential privacy help ensure that shared data cannot be traced back to individuals or reveal confidential information. This approach helps balance the need for collaboration and data analysis with the protection of privacy and compliance with data protection laws.

Address Space Layout Randomization (ASLR)

Address Space Layout Randomisation (ASLR) is a security technique used by operating systems to randomly arrange the memory addresses used by system and application processes. By shuffling the locations of key data areas, such as the stack, heap, and libraries, ASLR makes it harder for hackers to predict where specific code or data is stored. This unpredictability helps prevent certain types of attacks, such as buffer overflows, from succeeding.

Entropy Pool Management

Entropy pool management refers to the way a computer system collects, stores, and uses random data, known as entropy, which is essential for creating secure cryptographic keys and random numbers. Systems gather entropy from various unpredictable sources, such as mouse movements, keyboard timings, or hardware events, and mix it into a pool. This pool is then used to supply random values when needed, helping keep sensitive operations like encryption secure.

Reputation Monitor

A Reputation Monitor is a tool or system that tracks and analyses what is being said about a person, company, or brand online. It gathers information from websites, social media, reviews, and news articles to provide insights into public perception. This helps individuals and organisations understand their reputation and respond to feedback or potential issues quickly.

Hierarchical Policy Learning

Hierarchical policy learning is a method in machine learning where a complex task is divided into smaller, simpler tasks, each managed by its own policy or set of rules. These smaller policies are organised in a hierarchy, with higher-level policies deciding which lower-level policies to use at any moment. This structure helps break down difficult problems, making it easier and more efficient for an AI system to learn and perform tasks.

No-Code Tools

No-code tools are software platforms that let people build apps, websites or automate tasks without needing to write computer code. They use visual interfaces, like drag-and-drop, so users can create complex systems by arranging elements and setting rules. These tools make it possible for non-programmers to build digital solutions quickly and easily.

Security Awareness

Security awareness refers to the understanding and knowledge people have about potential security risks and how to protect information, systems, and themselves from threats. It involves recognising dangers such as phishing emails, weak passwords, and unsafe internet behaviour. Training in security awareness helps individuals and organisations reduce the chance of falling victim to cyber attacks or data breaches.

Business Process Reengineering

Business Process Reengineering (BPR) is the practice of completely rethinking and redesigning how business processes work, with the aim of improving performance, reducing costs, and increasing efficiency. Instead of making small, gradual changes, BPR usually involves starting from scratch and looking for new ways to achieve business goals. This might include adopting new technologies, changing workflows, or reorganising teams to better meet customer needs.