AI

Apply AI strategically to drive efficiency, insight, and growth

Advisory support to design, govern, and implement AI solutions that deliver real business value.

Artificial Intelligence is rapidly transforming how organisations operate, compete, and create value. When applied effectively, AI can automate processes, enhance decision-making, and unlock new opportunities for innovation. When poorly implemented, it can introduce risk, complexity, and wasted investment.

CATO supports organisations by connecting them with experienced advisers who help design and implement AI solutions that are practical, ethical, and aligned with business strategy - ensuring AI delivers measurable outcomes rather than experimentation for its own sake.

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Who It’s For

This service is designed for organisations exploring or scaling the use of artificial intelligence.
  • Organisations seeking efficiency through automation
  • Businesses looking to extract more value from data
  • Leadership teams evaluating AI opportunities and risks
  • Digital, e-commerce, and data-driven organisations
  • Organisations requiring ethical and governed AI adoption

What We Help With

CATO provides structured advisory support across the AI lifecycle.
  • AI strategy development and implementation
  • Data analytics, machine learning, and predictive modelling
  • Process automation and operational optimisation
  • AI-driven customer experience enhancement
  • Ethical AI frameworks and governance

How CATO Delivers

Our approach ensures AI initiatives are commercially grounded and responsibly deployed.
  • Assess organisational readiness, data maturity, and objectives
  • Identify high-value, low-risk AI use cases
  • Match organisations with advisers experienced in AI delivery and governance
  • Design and implement tailored AI solutions and frameworks
  • Support adoption, performance measurement, and ongoing refinement

Outcomes / Value

Organisations engage CATO to move beyond experimentation and achieve tangible AI outcomes.
  • Improved efficiency through automation and optimisation
  • Better decision-making driven by data and analytics
  • Enhanced customer experience and engagement
  • Reduced operational cost and process friction
  • Responsible, governed use of AI aligned with strategy

Example Engagement

Client Type:
E-commerce platform
Objective:
Implement AI-driven analytics to enhance customer experience and optimise marketing performance

An e-commerce organisation seeking to improve customer engagement and marketing effectiveness engaged CATO to support the implementation of AI-driven analytics. The organisation required better insight into customer behaviour and more efficient marketing execution.

CATO supported the engagement through a detailed assessment of customer data and existing marketing processes. A suite of AI tools was implemented, including predictive analytics to forecast customer behaviour, personalised marketing algorithms, and automated customer service capabilities.

The AI initiatives resulted in a 20% increase in customer retention, a 15% improvement in marketing return on investment, and improved customer satisfaction, positioning the organisation as a leader in data-driven customer experience innovation.