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Agentic AI: Building Trust and Transforming Mobile Experiences
The mobile landscape is poised for disruption. The potential of agentic AI, with its autonomous action, lies in creating truly personalized and efficient user experiences. However, unlocking this transformative potential requires a strategic approach that prioritizes transparency, security, and ethical governance.
One critical aspect of building trust is ensuring data transparency and consent. Agentic AI thrives on data, but it’s essential to implement robust data governance protocols and granular control mechanisms. Users must have clear visibility into how their data is used and be able to modify permissions at any time. This approach not only respects user privacy but also fosters a sense of ownership over their personal data.
In addition to transparency, automation should never operate as a “black box.” Users deserve to understand the rationale behind AI actions, especially when addressing critical pain points. For instance, an agentic AI-powered mobile banking app could proactively address unexpected overdraft fees by detecting impending recurring charges and providing users with actionable insights and control. This level of transparency and proactive problem-solving builds trust and empowers users to manage their finances effectively.
Interactive dialogues are another essential component in fostering collaboration and control. Integrating interactive chat interfaces enables users to question, refine, and modify AI-driven actions. By engaging in a dialogue with the app, users can seek clarification, propose alternative solutions, and ultimately develop a deeper understanding of the AI’s decision-making processes. This collaborative environment is critical for building trust.
Agentic AI has the potential to automate repetitive tasks, optimizing user efficiency and unlocking innovative mobile experiences. Moreover, its cross-app integration capabilities hold significant promise for orchestrating end-to-end user recommendations. By integrating knowledge graphs and semantic reasoning, agentic AI can optimize financial management, potentially leading to a measurable reduction in financial anxiety by analyzing data from banking, investments, and credit.
The future of mobile banking will likely involve personalized financial guardians that dynamically adapt to income fluctuations and market conditions. These guardians will analyze spending patterns and intelligently allocate resources, providing users with proactive notifications and actionable insights. The AI will suggest adjustments, redirecting funds or optimizing investments to ensure financial security.
However, scaling agentic AI deployments requires a robust, distributed architecture, including containerized microservices for flexible resource allocation and edge computing for low-latency inference. Federated learning and differential privacy techniques can mitigate data risks while ensuring data consistency across distributed data lakes. Robust API security is also critical for protecting against malicious actors.
As we move forward with agentic AI, establishing clear AI governance frameworks becomes crucial. This includes defining ethical guidelines, ensuring algorithmic fairness, and implementing accountability mechanisms. Studies have shown that AI models can perpetuate existing societal biases, leading to discriminatory outcomes. Organizations must proactively address potential biases and ensure that AI systems align with societal values.
In conclusion, building trust in agentic AI requires a multifaceted approach focused on transparency, collaboration, security, and ethical governance. By embracing these principles, we can unlock the transformative potential of agentic AI and create a future where technology empowers individuals to exercise greater control over their lives.
Sibin Thomas is a Technical Leader at Google with extensive experience in architecting scalable AI-driven solutions.
Source: https://www.forbes.com/councils/forbestechcouncil/2025/04/10/agentic-ai-building-trust-and-transforming-mobile-experiences/
