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October 06.2025
2 Minutes Read

Navigating Responsible AI in Community Banking: Insights from Emprise Bank’s Miranda Jones

Responsible AI in banking highlighted with futuristic digital coverage.

Responsible AI in Banking: A Necessary Balancing Act

The rapid evolution of generative AI is reshaping how businesses, particularly community banks, operate in today’s digital-first landscape. For smaller institutions such as Emprise Bank, striking the right balance between harnessing AI’s potential and maintaining ethical standards is vital. These banks play a crucial role in their communities and must address customer concerns about privacy and trust while navigating a complex regulatory environment.

The Value of Ethical AI Implementation

According to a 2023 report from McKinsey, AI adoption in banking could unlock an astounding $200 billion to $340 billion in value. For community banks, however, the challenge lies in leveraging this technology responsibly. Ethical AI practices ensure that innovations enhance consumer experiences without losing sight of fundamental privacy rights.

Creating Safe Spaces for AI Experimentation

Miranda Jones, the Data & AI Strategy Leader at Emprise Bank, emphasizes the importance of creating 'safe spaces' for employees to experiment with AI tools. Giving staff controlled environments not only allows for learning but also fosters AI literacy, promoting effective interactions between humans and machines. The goal is to ensure that tools don’t simply join workflows but are effectively integrated in ways that respect data privacy and compliance rules.

Leveraging AI's Potential for Unstructured Data Insights

AI tools excel at transforming unstructured data—emails, documents, and more—into actionable insights. For community banks, utilizing generative AI can improve clarity and streamline communication both internally and externally. As Jones explains, the potential for AI to improve operational effectiveness is immense, particularly when trained on relevant, contextual datasets rather than broader models that may not apply to community banking.

Implementing Targeted AI Solutions

Instead of deploying broad, foundational AI models, community banks are encouraged to adopt smaller, domain-specific models. This tailored approach ensures that banks can respond to the unique needs of their customers while maintaining high ethical standards. The importance of context cannot be overstated; a well-trained model can outperform generic counterparts by aligning with the specific regulatory requirements and customer expectations in community banking.

Future Trends: The Path Ahead for Community Banks and AI

As AI continues to advance, community banks must remain proactive. By committing to ethical considerations and transparency in AI practices, they can cultivate trust with their customers. This not only protects the bank's reputation but strengthens community ties, ensuring sustainable growth that is both innovative and responsible.

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10.02.2025

Unlocking the Power of AI: Strategies from Retail to BFSI Leaders

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09.30.2025

Discover How AI in Claims and Marketing is Transforming Lincoln Financial Group

Update How Lincoln Financial Group Utilizes AI for Business Growth In the competitive and complex world of financial services, Lincoln Financial Group (LFG) is setting a precedent by integrating artificial intelligence (AI) into its operations. Headquartered in Radnor, Pennsylvania, LFG offers various financial products, including life insurance, annuities, and retirement planning. With over 10,000 employees and reported revenues of $18.44 billion in 2024, LFG has the scale and resources to lead the adoption of AI. This article delves into two compelling use cases of AI at LFG that showcase how technology is driving operational efficiency and enhancing customer engagement. AI-Powered Claims Guidance: A Game Changer One of the standout applications of AI at LFG is its partnership with EvolutionIQ, aimed at revolutionizing disability claims processing. Financial services, particularly insurance, are burdened with escalating claims volumes and administrative costs, which can drain resources and compromise customer satisfaction. Research from Stanford University estimated that U.S. companies spend approximately $21.6 billion annually managing health insurance-related bureaucracies, highlighting the scope for improvement. By implementing AI-powered claims guidance, LFG has successfully streamlined its processes and optimized resource allocation. The technology analyzes both structured and unstructured data—like medical records and legal documentation—to identify key patterns and predict claim outcomes with stunning accuracy. According to EvolutionIQ's co-founder Michael Saltzman, the platform can predict recovery trajectories with up to 95% accuracy. This not only allows claims professionals to prioritize the right cases but significantly enhances claims management efficiency. Transforming Customer Outreach with Personalization In addition to claims management, LFG is employing AI for personalized marketing outreach, aiming to boost sales conversions. By leveraging AI algorithms to tailor communications for prospective clients, the company enhances customer engagement. Such personalized outreach not only helps increase conversion rates but also aligns with regulatory compliance—an essential factor in the heavily regulated financial services industry. This deployment of AI illustrates how LFG is not merely keeping pace with technological advancements but is at the forefront of financial innovation. With the right data-driven insights, LFG can effectively target potential customers, delivering relevant content that resonates with their interests. This strategy fosters customer relationships, ultimately leading to higher revenue growth. Future Predictions: The AI-Driven Financial Landscape As LFG continues to expand its AI capabilities, the implications for the financial services sector are significant. With advancements in AI technology, other firms may follow suit, leading to a more data-centric approach to claims management and customer acquisition. The operational efficiencies gained through AI could redefine success metrics for financial entities, compelling them to adapt or risk falling behind competitors. The synergy between AI and financial services is set to reshape how organizations operate. By streamlining internal processes and enhancing customer engagement, the potential for improved financial outcomes is vast. As companies like LFG lead the charge, the drive for innovation could spark a broader transformation within the industry, emphasizing the importance of technology in achieving sustainable growth. Embracing Digital Transformation For business owners, understanding these trends is crucial as they navigate the evolving landscape of financial services. The integration of AI technology is not merely an option but an imperative for companies seeking to maintain a competitive edge. By embracing digital transformation, organizations can enhance their efficiency, better serve their customers, and adapt to changing market conditions. Whether you’re a stakeholder within a large corporation or a small business owner, recognizing the value that AI brings to the table can help inform your strategic decisions. As LFG’s journey illustrates, the businesses that harness AI effectively are poised for success.

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Harnessing Tribal Knowledge: Essential Insights for Business Owners

Update Why Knowledge Management is Imperative for Today's Businesses In a rapidly shifting workforce landscape, where a significant segment of the labor force is nearing retirement, businesses face an unprecedented challenge: the risk of losing invaluable institutional knowledge. In both the US and Canada, an alarming number of baby boomers are retiring, leading to a potential decline in labor force participation and, notably, a significant loss of specialized skills and undocumented processes critical for organizational efficiency.Take the IT and manufacturing sectors as prime examples. These fields thrive on the expertise accumulated over years of experience, often referred to as 'tribal knowledge.' This knowledge encompasses an organization's subtleties—everything from intuitive problem-solving approaches to critical shortcuts that allow seamless operations. The departure of seasoned professionals threatens to erase this information entirely, leading to operational slowdowns, increased retraining costs, and a weakened innovation pipeline. Transitioning from Old to New: Harnessing Tribal Knowledge In a recent episode of the 'AI in Business' podcast, Matthew DeMello, Emerj Editorial Director, conversed with Aaron Demory, Senior Partner at Fearlus. They explored strategies organizations can employ to comprehensively capture and utilize this crucial knowledge. Demory emphasized the necessity of establishing robust systems for documenting tribal knowledge, which directly contributes to organizational continuity. By integrating frontline insights into strategic decisions, businesses ensure they can adapt and prosper even as key employees exit the workforce. The Role of Technology in Knowledge Management Aligning tools with a company's strategic vision also plays a pivotal role in knowledge management. Organizations need to identify their objectives clearly, including their risk appetite, before selecting or creating solutions that cater to their long-term goals.The implementation of technology in this context is paramount, especially as many organizations are turning to AI-driven tools. By adopting AI in podcasting and content creation, companies can more effectively analyze and visualize data, making sure every piece of knowledge, whether documented or tribal, plays a crucial role in the decision-making process. This leap towards incorporating AI is not simply a trend; it represents a forward-thinking approach to business resilience. Visualizations: Answering Key Business Questions Aaron Demory highlights another critical component of knowledge management: crafting visualizations around essential business queries. By identifying the pivotal questions that need addressing, organizations can foster an environment where insights are readily accessible and actionable. This visual clarity not only encourages informed strategic planning but also helps in aligning teams toward common objectives. Embracing Change in Organizational Culture The concept of embracing change extends beyond mere implementation of tech solutions; it requires a cultural shift within organizations. Demory's analogy of a GPS navigating the complexities of system implementation is particularly resonant here. Historically, knowledge transfer involved clear touchpoints, which have become blurred with modern agile practices. As the workforce evolves, organizations must commit to rebuilding this knowledge base, ensuring that new generations inherit the critical insights necessary for sustained success. In an age defined by rapid technological advancements and shifting workforce dynamics, it is imperative for business owners to prioritize effective knowledge management strategies. By embracing AI and refining their approaches to capturing tribal knowledge, organizations can safeguard their operational integrity and position themselves for future growth. For business owners looking to harness this valuable information, consider integrating AI-driven tools to aid in knowledge retention and operational efficiency. Investing in your organization's learning culture ensures long-term sustainability in an ever-evolving marketplace.

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