Artificial Intelligence (AI)

Redefining the possible

AI for Business Transformation

AI, or Artificial Intelligence, encompasses a suite of technologies designed to replicate human cognitive functions, such as learning, problem-solving, and decision-making. It holds the promise of enhancing efficiency and precision across diverse sectors while streamlining costs and expediting processes. The term 'AI' serves as an umbrella for a myriad of methodologies and techniques, from machine learning algorithms and neural networks to natural language processing and robotics.
Generative AI, together with Automation technologies has the potential to transform efficiency, precision, and cost-effectiveness at enterprise scale.  NextWave's focus on driving business outcomes for our clients, powered by the latest technologies and our collaborative ecosystem, is pioneering the integration of AI into financial solutions.

The landscape is evolving; industry giants like Microsoft and Google are democratizing AI through user-friendly platforms like ChatGPT and CoPilot, amplifying visibility and accessibility. This new wave of innovation is bringing the power of AI directly to every area of the business.

Generative vs Non-generative AI

When we mention AI, what are we really speaking about? There are several different types of AI techniques, including Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotics, Knowledge Graphing, and Speech Recognition, to name only a few.
Further complicating matters is the fact that there has also been a great deal of discussion regarding generative and non-generative AI. 
Non-generative AI refers to AI systems that are trained on existing data rather than generating new data or content. Within financial services, this type of AI has been used for many years in various use cases.
Generative AI is a type of artificial intelligence within the machine learning (ML) category that can create new content including text, speech, imagery, audio and synthetic data. 
It is important to note that both approaches have unique strengths and use cases, and they complement one another in various applications of artificial intelligence. It is very much a case of using the best technique for the best outcome, be it generative or non-generative, or even both together.
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Transforming industries with AI:

From enhancing customer experiences to streamlining operations and decision-making, there are many potential use cases to consider that can bolster customer engagement, optimise operational efficiency and strengthen controls.

Fraud detection & prevention

AI algorithms can analyse transaction patterns in real time to identify and prevent fraudulent activities, reducing financial losses and protecting customers. Machine learning models, especially anomaly detection systems, are used to identify patterns and outliers that may suggest fraudulent behaviour.

Process automation

AI streamlines back-office operations, such as account opening or claims processing, by automating routine tasks and paperwork. Robotic Process Automation (RPA) is widely used for automating repetitive tasks, not only in finance but also in sectors like manufacturing, healthcare, and retail.

Risk Management/ Credit Scoring

Machine learning models offer more sophisticated and accurate credit scoring by analysing traditional and non-traditional data sources, leading to better lending decisions. Supervised learning techniques are applied to analyse credit history, transaction data, and even alternative data to predict creditworthiness and other risk levels. AI is increasingly being used to assess risk more accurately across portfolios, identifying potential issues and suggesting mitigation strategies quickly.

Customer service automation

Chatbots and virtual assistants powered by AI can handle customer inquiries and transactions, providing 24/7 service without human intervention. Powered by NLP for text interaction and voice generation AI for automated voice services can handle a range of customer service tasks.

Anti-Money Laundering (AML)

AI systems improve the detection of suspicious activities and help in the efficient analysis of data to prevent money laundering. Machine learning and NLP are used to analyse transaction data and customer communication for patterns that might indicate money laundering activities.

Document automation and analysis

NLP and image recognition technologies are used to digitise, categorise, and analyse documents for faster processing and decision-making. Extensively used in areas such as customer onboarding, processing large volumes of legal documents, invoice processing, medical records translation, and many other areas that are heavily reliant on paper documentation.

Regulatory compliance (RegTech)

AI helps in monitoring and ensuring compliance with regulatory requirements by automatically updating systems in response to regulatory changes and detecting non-compliant behaviour.

Personalised banking

AI enables the delivery of personalised financial advice and product recommendations to customers based on their behaviour and preferences.

Investment strategy

Increasingly investment firms are using sentiment analysis to gauge the public's perception of various stocks, market conditions, or the overall economy. By analysing vast amounts of data from news articles, social media posts, financial forums, and blogs, the firm's AI system can determine whether the sentiment around a particular company or sector is positive, negative, or neutral.

Our AI framework

Explore our comprehensive AI Solution Framework, designed to streamline your journey from conceptualising to deploying advanced AI solutions that drive innovation and business value.

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Case Studies

Our clients have accelerated development cycles and transformed their operations using AI driven automation solutions.


Before and after automating a heavily manual process using Appian

Artificial Intelligence | Insurers

Re-insurance Finance And Operations automation with Appian

Artificial Intelligence | Insurers

Automation of Collateral Call processing

Artificial Intelligence | Insurers

Learn more about the NextWave methodology

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Our AI focus areas

Financial organisations are leveraging AI to automate mundane tasks, liberating resources for strategic initiatives. Our integration of Appian, Alteryx, ServiceNow and Quantexa technologies ensures rapid business transformation. By harnessing these tools, we empower organizations to navigate complexities with agility, driving efficiency and fostering sustainable growth in the dynamic financial sector.


Data Management & Analytics

Designing data architectures to support a robust data foundation which is essential for ensuring data quality, consistency, and accessibility across an enterprise. Further supporting the processes and tools used in data model management ranging from simple representation of data structures to complex algorithms used for predictive analytics and machine learning.


AI Centre
of Excellence

Creating a centralised capability dedicated to fostering innovation, expertise, and best practices, serving as a hub for AI research, development, and deployment, bring together multidisciplinary teams of experts to accelerate the adoption of AI technologies and tools across the enterprise.

AI automation

Help organisations to transform through automation of complex processes and decision-making tasks using tools and technologies to analyse data, learn from patterns, and make decisions more efficient and effective across various operations.


Enterprise AI

Helping organisations to promote a culture of continuous improvement and technological advancement across an organisation's processes, systems, and products to drive operational efficiency, innovation, and competitive advantage across the organisation to transform data into actionable insights, streamline operations, improve customer experiences, and create new opportunities for growth and differentiation in the market.


We develop structured approaches and frameworks designed to guide organisations through change initiatives, ensuring delivery with confidence and reliability. These actionable strategies provide a clear roadmap for transformation, enabling teams to execute changes effectively and with assured outcomes. See our AI solution framework above.

NextWave AI Perspectives

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Focus your strategy, set your plan and modernise your business

Our experts

With decades of experience in top-tier financial services institutions and fintechs, our AI leaders deliver successful strategy plans and transformative business solutions for our clients. From risk management to customer experience enhancement, our team's deep expertise drives growth by leveraging cutting-edge AI technologies tailored to your organisation's unique needs.

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Phil Sturmer
David Aston
NextWave-Infinium CEO, NL
Iain Ivey
Connagh Wrangle

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