Organisations use technology to improve efficiency, reduce costs and increase effectiveness. Digital improvements, automation and AI-enabled solutions often form part of the same transformation journey, but they offer different capabilities and business benefits.
Digital improvements
Digital improvements involve replacing manual, paper-based or disconnected processes with digital tools and systems. Examples include electronic forms, cloud-based document storage, online customer portals and workflow platforms.
The primary goal is to improve accessibility, speed and consistency. Digital solutions make information easier to manage and share, reduce administrative effort and provide greater process visibility. However, they still rely on people to interpret information and make decisions (OECD, 2025).
For example, replacing paper expense claims with an online system improves efficiency, but managers still review and approve claims manually.
Automation
Automation builds on digital improvements by enabling technology to perform routine tasks automatically. Rules-based automation follows predefined instructions and is most effective where processes are repetitive, predictable and consistent.
Examples include generating invoices, routing requests, sending reminders and updating records when specific actions occur.
Automation improves efficiency by reducing manual effort, minimising errors and increasing consistency. However, traditional automation cannot learn, adapt or make complex judgements. It performs tasks according to established rules and workflows (McKinsey & Company, 2025).
For example, a system may automatically approve expenses below a certain value while escalating higher-value claims for review.
AI-enabled solutions
AI-enabled solutions go beyond automation by analysing information, identifying patterns and generating insights or recommendations. Unlike traditional automation, AI can support more complex and less predictable situations (McKinsey & Company, 2025; OECD, 2025).
Examples include customer service chatbots, predictive maintenance systems, fraud detection tools, recommendation engines and generative AI assistants.
AI can analyse customer feedback, forecast demand, identify risks, summarise information and generate content. These capabilities help organisations make better use of data and respond more effectively to changing conditions.
For example, instead of routing customer enquiries according to predefined rules, an AI-powered system can understand customer intent and recommend the most appropriate response. Gartner predicts that by 2028, at least 70% of customers will begin their service journey through a conversational AI interface (Gartner, 2025).
Comparing the approaches
Digital improvement
- Primary function: Digitising information and processes.
- Best used for: Replacing manual or paper-based activities.
Automation
- Primary function: Executing predefined rules automatically.
- Best used for: Repetitive and predictable tasks.
AI-enabled solution
- Primary function: Analysing data and supporting decisions.
- Best used for: Complex, variable or data-rich challenges.
Organisations often establish digital foundations first, then automate routine activities and introduce AI where additional value can be created.
When does AI offer greater value?
AI is most valuable when organisations face challenges involving large datasets, changing circumstances or complex decision-making.
AI may be beneficial when:
- Information is too complex for manual analysis.
- Patterns or trends need to be identified quickly.
- Predictions can improve outcomes.
- Personalised experiences are required.
- Decisions depend on multiple variables.
- Large amounts of unstructured data must be processed.
For example, a digital system can store customer comments and an automated system can categorise them. AI can go further by identifying themes, analysing sentiment and highlighting improvement opportunities. Organisations achieving the greatest value from AI typically use it to support innovation, growth and decision-making rather than simply automate existing processes (McKinsey & Company, 2025).
Choosing the right solution
Though approximately 60% of employers plan to enhance their digital access to improve business (World Economic Forum, 2025), not every challenge requires AI. In many situations, a digital improvement or rules-based automation provides a simpler and more cost-effective solution.
Before selecting a solution, organisations should consider the nature of the problem, expected benefits, data availability and implementation complexity. The most successful organisations focus on business outcomes rather than technology, selecting the level of capability that best addresses the challenge while maintaining appropriate governance, transparency and accountability (OECD, 2024; OECD, 2025).
Action Point
Identify a current business process within your organisation. Determine whether the challenge requires a digital improvement, automation or an AI-enabled solution. Consider the complexity of the task, the volume of data involved and the desired business outcome before recommending the most appropriate approach.