AI and Process
Transformation
Consultants

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 – scoping full transformation programmes and integrating 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.

More News and Articles

Process Digitization Analytics

Process digitisation analytics refers to the use of data analysis tools and techniques to monitor, measure, and improve business processes that have been converted from manual to digital formats. It focuses on collecting and analysing data generated during digital workflows to identify inefficiencies, bottlenecks, and opportunities for improvement. By using analytics, organisations can make informed decisions to optimise their digital processes for better outcomes and resource use.

Container Orchestration

Container orchestration is the automated management of software containers, which are small, self-contained packages that hold an application and everything it needs to run. Orchestration tools help handle tasks such as starting, stopping, and moving containers, as well as monitoring their health and scaling them up or down based on demand. This makes it easier for teams to run complex applications that need to work reliably across many computers or in the cloud.

Hyperautomation Framework

A Hyperautomation Framework is a structured approach to automating business processes using a combination of advanced technologies like artificial intelligence, machine learning, robotic process automation, and workflow tools. This framework helps organisations identify which tasks can be automated, selects the best tools for each job, and manages the automation lifecycle. It provides guidelines and best practices to ensure automation is efficient, scalable, and aligns with business goals.

Competitive Multi-Agent Systems

Competitive multi-agent systems are computer-based environments where multiple independent agents interact with each other, often with opposing goals. Each agent tries to achieve its own objectives, which may conflict with the objectives of others. These systems are used to study behaviours such as competition, negotiation, and strategy among agents. They are commonly applied in areas where decision-making entities must compete for resources, outcomes, or rewards.

Scriptless Scripts

Scriptless scripts refer to automated testing methods that do not require testers to write traditional code-based scripts. Instead, testers can use visual interfaces, drag-and-drop tools, or natural language instructions to create and manage tests. This approach aims to make automation more accessible to people without programming skills and reduce the maintenance effort needed for test scripts.

UX Research Tool

A UX research tool is software or an online platform that helps teams understand how people use and experience digital products like websites or apps. These tools collect feedback, track user behaviour, and analyse data to reveal what works well and what needs improvement. They may include features like surveys, screen recording, heatmaps, or usability testing to help teams make informed design decisions.

Digital Risk Management

Digital risk management is the process of identifying, assessing, and addressing risks that arise from using digital technologies and online systems. It involves protecting organisations from threats like cyber attacks, data breaches, and technology failures. The goal is to minimise harm to people, finances, and reputation by putting safeguards in place and planning for potential problems.

Red Team Operations

Red Team Operations are security exercises where skilled professionals simulate cyber-attacks on an organisation to test its defences. The goal is to discover vulnerabilities by acting like real attackers, using various tactics to breach systems, networks, or physical locations. These operations help organisations understand their weaknesses and improve their overall security posture.

Knowledge Integration Networks

Knowledge Integration Networks are systems that connect information, expertise and insights from different sources to create a more complete and useful understanding. They help people or organisations bring together knowledge that might be scattered across departments, databases or even different organisations. By linking and organising this information, these networks make it easier to solve complex problems, make better decisions and share what is known.

Loss Landscape Analysis

Loss landscape analysis is the study of how the values of a machine learning model's loss function change as its parameters are adjusted. It helps researchers and engineers understand how easy or difficult it is to train a model by visualising or measuring the shape of the loss surface. A smoother or flatter loss landscape usually means the model will be easier to train and less likely to get stuck in poor solutions.