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AI Transformation Services

Our UK-based transformation consultants specialise in intelligent process automation, enhancing efficiency and driving positive change.

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 – scoping full transformation programmes and integrating technologies such as AI, cloud computing, data consolidation and process mining to ensure lasting impact.

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

Digital Transformation Assurance

Digital Transformation Assurance is a process that helps organisations make sure their digital change projects are successful, safe, and meet their goals. It involves checking that new technologies and ways of working are being used properly and that risks are managed. This process often includes independent reviews, monitoring progress, and making sure the benefits of digital investments are realised.

Contextual Embedding Alignment

Contextual embedding alignment is a process in machine learning where word or sentence representations from different sources or languages are adjusted so they can be compared or combined more effectively. These representations, called embeddings, capture the meaning of words based on their context in text. Aligning them ensures that similar meanings are close together, even if they come from different languages or models.

AI for Transformation Analytics

AI for Transformation Analytics refers to the use of artificial intelligence tools and techniques to analyse and understand the impact of significant changes within an organisation. These changes can include digital upgrades, new business processes, or shifts in company strategy. AI helps by processing large amounts of data, identifying patterns, and providing insights that support decision-making during complex transformations.

CCPA Compliance

CCPA compliance means following the rules set by the California Consumer Privacy Act. This law gives people in California more control over how companies collect, use and share their personal information. Businesses must tell customers what data they collect, allow them to see or delete that data, and honour requests not to sell personal information. Companies also need to keep customer data safe and provide clear privacy policies. Failing to comply can lead to fines and damage to reputation.

Neural Network Compression

Neural network compression is the process of making artificial neural networks smaller and more efficient without losing much accuracy. This is done by reducing the number of parameters, simplifying the structure, or using smart techniques to store and run the model. Compression helps neural networks run faster and use less memory, making them easier to use on devices like smartphones or in situations with limited resources. It is important for deploying machine learning models in real-world settings where speed and storage are limited.

Privacy-Preserving Data Analysis

Privacy-preserving data analysis refers to techniques and methods that allow people to analyse and gain insights from data without exposing sensitive or personal information. This approach is crucial when dealing with data that contains private details, such as medical records or financial transactions. By using special tools and methods, organisations can extract useful information while keeping individual data secure and confidential.

Container Management

Container management is the process of organising, deploying, monitoring and maintaining software containers. Containers are lightweight packages that contain all the code and dependencies an application needs to run. Managing containers ensures they are started, stopped and updated efficiently, and that resources are used effectively. It also involves handling security, networking and scaling as more containers are added or removed.

Digital Asset Cleaner

A Digital Asset Cleaner is a tool or software designed to organise, remove, or tidy up digital files such as images, videos, documents, or other assets. It helps users get rid of duplicates, outdated files, or unused assets from computers, servers, or cloud storage. This makes it easier to find important files, saves storage space, and improves system performance.

Monitoring and Alerting

Monitoring and alerting are practices used to track the health and performance of systems, applications, or services. Monitoring involves collecting data on things like system usage, errors, or response times, providing insights into how things are working. Alerting uses this data to notify people when something unusual or wrong happens, so they can fix problems quickly. Together, these practices help prevent small issues from becoming bigger problems, improving reliability and user experience.

Data Lifecycle Management

Data Lifecycle Management (DLM) is the process of overseeing data from its creation and storage through to its use, archiving, and eventual deletion. DLM helps organisations make sure data is handled properly at every stage, keeping it organised, secure, and compliant with regulations. By managing data throughout its lifecycle, companies can reduce storage costs, improve efficiency, and lower the risk of data breaches.