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Teach AI How Businesses Operate Before Optimizing Them, Says Aily Labs’ Anghelina
In a recent discussion, Bianca Anghelina, the founder and CEO of Aily Labs, emphasized the importance of not just providing artificial intelligence with access to data, but also ensuring that the AI possesses a comprehensive understanding of how businesses operate. This understanding is critical for making informed and effective decisions within an organization. Anghelina articulated that AI systems must consider various aspects, including an organization’s strategies, external market dynamics, and other forces that can significantly influence the interpretation of data. Such multifaceted insight is crucial for AI to move beyond merely analyzing historical data and to start making predictive suggestions that drive future business success.
Anghelina identified three crucial dimensions that illustrate the business context necessary for AI systems: external factors like market conditions and regulatory environments, corporate strategy, and the diverse expertise and knowledge of employees. By integrating these dimensions with operational data, including financial, commercial, and inventory information, AI can transcend its traditional retrospective focus. “We have to capture that strategy in a way to be predictive and recommend what to do next, not just analyze what the past was,” Anghelina emphasized, showcasing her visionary approach to AI’s role in business.
During an insightful video interview at the HumanX Conference in Amsterdam, Anghelina elaborated on Aily Labs’ commitments to evolving its platform toward superintelligent capabilities. The conversation touched upon several innovative concepts, such as the incorporation of AI agents into everyday tools like email, calendars, and voice interactions. By embedding AI in these tools, organizations can effectively capture and utilize undocumented employee knowledge that is often critical but not formally recorded. This integration allows AI systems to leverage insights and intelligence that might otherwise remain untapped.
Furthermore, Anghelina discussed the mechanism of having AI agents that can verify and evaluate the outputs of other AI agents. This system of checks, supplemented with human feedback, is aimed at enhancing the accuracy of AI recommendations. The cyclical nature of AI validation through both automated and humanly informed processes bolsters the reliability of decisions made based on AI insights.
Since its inception in 2020, Aily Labs has been at the forefront of democratizing decision intelligence powered by AI for global enterprises. Anghelina’s dedication to driving innovation in this space has not gone unnoticed; she was recognized as a 2025 CNBC Changemaker and named among Pavilion’s top 50 CEOs to watch. Prior to founding Aily Labs, she held prominent leadership positions in digital and AI roles at several high-profile companies, including Novartis, Sandoz, and BMW, which speaks to her extensive expertise and vision in harnessing the potential of artificial intelligence in business environments.
In conclusion, the growing complexity of enterprises necessitates a more nuanced and robust approach to artificial intelligence. By teaching AI the operational intricacies of businesses alongside traditional data, organizations can position themselves to navigate the future uncertainties with enhanced predictive capabilities. Anghelina’s insights and initiatives at Aily Labs exemplify a forward-thinking approach towards optimizing AI’s role in driving strategic business decisions, ensuring that enterprises are not just reacting to the past but strategically planning for the future.