Artificial intelligence

AI governance and guidelines

The development and use of AI systems are subject to multiple regulatory frameworks, depending on how and where the technology is applied. In addition to sector-specific legislation and data protection requirements under GDPR, all AI systems must comply with the EU AI Act, which introduces a common regulatory framework for artificial intelligence across Europe.

The AI Act is designed to promote trustworthy AI that protects health, safety and fundamental rights. It applies a risk-based approach, placing different obligations on organisations across the AI value chain, from developers to users. These obligations become more stringent as the potential risk of an AI system increases, making it essential for organisations to assess and categorise their AI use correctly.

We help organisations navigate this complex regulatory landscape by clarifying roles, responsibilities and risk exposure across their AI systems. By supporting compliance with applicable regulations and developing tailored AI guidelines, we enable responsible use of AI that aligns with legal requirements, organisational accountability and business objectives.

Building an AI data platform

A robust data platform is the foundation for successful artificial intelligence and advanced analytics. We help organisations modernise their data and AI capabilities through cloud-based platforms and modern data architectures that support scalability, flexibility and performance.

An effective AI data platform enables data-driven decision-making, greater agility and new opportunities across business units and processes. By supporting data ingestion, transformation, model development and visualisation end to end, the platform ensures that data delivers continuous value aligned with strategic objectives.

Combining deep technological expertise with strong business understanding, we support organisations both in meeting today’s needs and preparing for future data challenges. Whether you are modernising existing solutions, migrating to the cloud or building a new platform from scratch, we deliver tailored solutions that create real business value.

Designing and training AI models

We offer a comprehensive range of AI services covering the full model lifecycle, from data collection and model development to deployment and continuous optimisation. By working closely with domain experts, we ensure that AI models are built on relevant, high-quality data and designed to address real business needs, while meeting privacy and compliance requirements such as GDPR.

Our data scientists develop and train AI models using advanced techniques including machine learning, neural networks and statistical analysis. The models are designed to be robust, scalable and transparent, enabling them to solve today’s challenges while supporting future innovation and growth.

We support safe and efficient implementation by validating models across scenarios and integrating them seamlessly into existing systems. Through ongoing monitoring, performance management and continuous improvement, we help organisations ensure that their AI models deliver sustained value over time and can scale as needs evolve.

Cybersecurity in AI implementation

Secure AI implementation starts with strong cybersecurity fundamentals. This includes protecting sensitive data through proper classification and access controls, managing privacy risks, and continuously monitoring how data and AI tools are used across the organisation. Without these foundations, AI adoption can expose organisations to increased cyber risk and loss of control.

Effective AI security is built around three core principles: information protection to prevent data leakage, visibility to understand which AI tools are in use and how data flows, and user adoption to ensure employees use AI safely and as intended. By combining technical security measures with governance, training and clear policies, organisations can reduce cyber risk while enabling safe and confident use of AI at scale.

From AI to insight

We help organisations turn data into insight by developing solutions that make complex data sets easier to understand and help identify new opportunities.

Through intuitive visualisations and dashboards, we make insights accessible across the organisation, from senior leadership to operational teams. This increases decision speed, accuracy and confidence.

By modernising reporting, enabling self-service analytics and automating data analysis, we reduce manual effort and dependency on IT. This allows your teams to focus on strategic analysis and respond more quickly to changes in the business and the market.

Agentic Factory

Agentic Factory is our framework for developing and scaling agentic AI, where digital agents become integrated parts of everyday workflows and deliver value with minimal supervision. Rather than focusing on isolated pilots, we help organisations move from experimentation to measurable impact by embedding AI agents in end‑to‑end processes that are anchored in the business and governed responsibly.

By bringing together technology, data, governance and skills in a single operating model, Agentic Factory enables faster scaling with control. AI agents are designed to work as a coordinated team across functions such as finance, customer service, procurement and operations, helping reduce lead times, improve decision quality and unlock new growth opportunities.

Agentic Factory is more than a delivery model. It is a collaborative innovation environment where organisations redesign how work is performed, build hybrid teams of people and AI, and develop the capabilities needed to succeed over time. Through structured prioritisation, secure and traceable agent workflows and continuous learning, we help organisations realise value quickly while strengthening productivity, quality and trust.