Discover the Trio of AI-Driven Productivity from the Innovation Briefing Report 

Is AI in business only about automating routine tasks? This is one of the most common misconceptions. Companies that limit AI to automation tap into only a fraction of its potential.

The latest Innovation Briefing Trendy GenAI 2025 Productivity+ report introduces a key concept: “The Trio of AI-Driven Productivity: Automate, Assist, Augment” (3A).

This approach enhances team productivity, fosters innovation within organisations, and maximises the transformative power of generative AI. But how does it work in practice?

Automation – Eliminating Repetitive Tasks with AI 

The first step in integrating AI into an organisation is automating repetitive processes that do not require human creativity. Many companies have already started down this path, but most still fail to exploit its full potential.

Examples of AI-powered automation:

✔ Generating product descriptions based on specifications or customer reviews.

✔ Categorising and routing incoming queries to the appropriate departments.

✔ Scheduling meetings and managing calendars based on individual preferences.

✔ Automatically inserting breaks between virtual meetings to improve workflow.

✔ Creating standardised response templates for frequently asked questions.

Organisations free up valuable time by automating routine tasks, allowing teams to focus on higher-value activities. However, automation is just the beginning of AI’s transformative impact.

AI as an Intelligent Assistant – Supporting Decision-Making and Analysis

The second level of AI integration assists professionals in more complex and strategic processes. In this model, AI becomes not just a tool for automation but an intelligent assistant that analyses data, offers insights, and enhances critical decision-making. 

Examples of AI assistance:

✔ Generating business meeting agendas and supporting the development of presentations.

✔ Summarising and analysing large volumes of data to extract key insights.

✔ Providing intelligent editing suggestions for reports and documents.

✔ Identifying news trends and proposing PR topics tailored to industry developments.

✔ Recommending top candidates for recruitment based on job role requirements.

With AI-driven assistance, organisations can make faster, more informed decisions, increase efficiency, and improve overall performance.

AI as an Augmented Intelligence Tool – Expanding Capabilities and Strategic Thinking

The third and most advanced stage of AI implementation is augmenting human expertise. In this model, AI delivers more profound insights, enhances strategic thinking, and gives businesses a competitive edge by processing and generating knowledge beyond human capabilities.

Examples of AI augmentation:

✔ Developing business scenarios, which strategy teams can evaluate and refine.

✔ Identifying niche market opportunities based on emerging trends.

✔ Analysing customer sentiment from reviews and automatically generating satisfaction reports.

✔ Personalising sales proposals by combining AI-driven insights with customer preferences.

✔ Creating multiple sales strategy variations based on changing market conditions.

This level of AI integration ensures that technology complements human expertise rather than replacing it, enabling organisations to scale innovation and respond proactively to market shifts.