Where AI is changing how business works: 6 Functional Excellence categories to know
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ET AI Awards 2027 Functional Excellence Track
AI's influence is extending across business functions, from financial decisions and cybersecurity to talent management and creative work. The real test lies in how effectively organisations integrate it into everyday operations and turn its capabilities into measurable outcomes.ET AI Awards 2027 Functional ExcellenceThe track recognises AI applications across business functions, with 11 categories open to all segments.
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AI Agents & Intelligent Automation
Automation is evolving beyond tasks triggered by fixed rules. AI agents can work through multistep processes, use tools and respond to changing inputs, with appropriate oversight. The business challenge is deciding which workflows can be delegated, how exceptions are handled and where human intervention remains essential.AI Agents & Intelligent Automation category recognises AI agents and intelligent automation applied to business processes.
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AI in Data, Analytics & Decision Intelligence
Organisations generate substantial amounts of data, but having more information does not automatically lead to better decisions. AI can help identify patterns, surface risks and make complex information easier to interpret. Its value depends on the quality of the data, the relevance of the insights and how effectively decision-makers use them.AI in Data, Analytics & Decision Intelligence category recognises AI applications that strengthen analytics and business decision-making.
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AI in Finance & Risk
Financial teams work with forecasts, transactions and risk signals that can change quickly. AI can support anomaly detection, risk analysis, forecasting and the identification of unusual patterns. Accuracy, explainability and governance remain central, particularly when decisions carry financial or regulatory consequences.AI in Finance & Risk category recognises AI applications in finance and risk management.
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AI in HR, Talent & Workforce
AI is changing how organisations approach recruitment, workforce planning, skills assessment and employee support. These applications can help teams process information and identify workforce patterns, but their use also calls for attention to fairness, privacy and human judgement in decisions affecting employees.AI in HR, Talent & Workforce category recognises AI applications across HR, talent and workforce management.
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AI-Driven Cybersecurity & Trust
As digital systems grow more complex, security teams must identify suspicious activity across large volumes of signals. AI can help detect anomalies, prioritise alerts and accelerate threat analysis. The same technology can also introduce new risks, making reliable monitoring, testing and oversight essential to its deployment.AI-Driven Cybersecurity & Trust category recognises AI applications supporting cybersecurity, threat detection and digital trust.
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Generative AI for Content, Creative & Brand
Generative AI can help teams develop content, explore creative directions and adapt campaigns across formats. Producing more material, however, does not guarantee stronger communication. Brand consistency, factual accuracy, originality and human editorial judgement remain important to the final result.Generative AI for Content, Creative & Brand category recognises the use of generative AI across content, creative production and brand work.
Where Is Your Organisation Putting AI to Work?The ET AI Awards 2027 recognise applied AI across business functions, from decision intelligence and finance to cybersecurity and creative work.Explore the Functional Excellence categories. Nominate now.
Where Is Your Organisation Putting AI to Work?The ET AI Awards 2027 recognise applied AI across business functions, from decision intelligence and finance to cybersecurity and creative work.Explore the Functional Excellence categories. Nominate now.
