OFFICIAL PUBLICATION OF THE COLORADO BANKERS ASSOCIATION

Pub. 13 2023-2024 Issue 6

From Transactions to Transformations

AI’s Role in Shaping Next-Gen Banks

In an era where artificial intelligence (AI) is redefining industries, its impact on banking through strategic planning and execution stands out. By leveraging conversational AI, banks can engage in more participatory and efficient strategy development, involving employees at all levels in shaping the bank’s future. This technology streamlines efficiencies and fosters a deeply engaged workforce committed to the bank’s mission and community impact. As AI transforms the landscape of banking, it promises a more agile, responsive and hands-on approach to strategic planning and execution, further positioning banks as key drivers of economic vitality and innovation in their communities.

Background

The banking industry has traditionally relied on a blend of personal service and technological advancements to serve customers. However, the onset of the COVID-19 pandemic highlighted critical vulnerabilities, particularly in terms of maintaining productivity and connectivity in a predominantly remote working environment. This period of disruption brought to light the essential role of software in ensuring continuity and efficiency in banking operations.

Generative AI, with its advanced natural language processing capabilities, emerges as an important tool, overcoming the limitations of traditional productivity-focused software. This new wave of AI technology enhances connectivity, facilitates dynamic interactions and offers a more intuitive user experience, significantly impacting the role of software in banks.

Common Applications of AI in Banking

  • Enhanced Customer Relationship Management (CRM): Major banks have begun implementing AI-driven CRM systems that go beyond basic data analysis. For instance, one large financial institution’s use of machine learning algorithms to analyze customer data enables personalized banking experiences, leading to increased customer retention and satisfaction rates. Such AI-enhanced CRMs allow for a deeper understanding of customer needs, predicting behaviors and offering tailored financial advice and products.
  • Operational Efficiency Through Automation: Another large bank has leveraged AI to streamline operational processes, significantly reducing manual labor and errors. Their AI-powered virtual assistant has handled millions of customer inquiries, showcasing the efficiency and scalability that AI can bring to customer service operations.
  • Risk Management and Fraud Detection: A third bank’s adoption of AI for risk management illustrates how AI can augment traditional banking systems. By analyzing patterns and trends in vast datasets, AI algorithms can identify potential fraud and security threats more accurately and swiftly than ever, safeguarding customer assets and bank reputation.

Uncommon Use of AI in Banking — Strategic Planning and Implementation

In the rapidly evolving banking sector, the use of conversational AI is redefining the paradigms of strategic planning and execution. This innovative application of AI technology catalyzes a more inclusive, efficient and dynamic strategy development process within banks.

Conversational AI’s role as a professional strategy consultant is impactful. It democratizes the strategic planning process by conducting comprehensive interviews across the entire organization, from frontline employees to board members. This approach ensures that every voice is heard and every perspective is considered, providing a holistic view of the bank’s current state and future aspirations. The AI’s ability to process and analyze large volumes of data from various sources, including direct employee input through conversational interviews, internal reports and external documents, is unparalleled.

The efficiency of conversational AI in synthesizing this data into a coherent strategic plan framework is groundbreaking. Traditionally, such a comprehensive analysis could take up to a year and cost over a million dollars when outsourced to consulting firms or managed by reallocating internal resources. This process is condensed to a few weeks with AI, drastically reducing time and financial investments. This efficiency does not only save resources but also supports the practice of agile strategic planning and execution.

The agile approach facilitated by AI shifts the paradigm from annual strategic planning to a more fluid, continuous process. This process involves the entire organization in both the planning and execution phases, fostering a sense of ownership and commitment to the outcomes among employees. When individuals contribute to building the strategy, they invest personally in its success, applying discretionary effort to achieve the bank’s goals.

Moreover, this process addresses a fundamental human need for connection and belonging. Employees gain greater workplace fulfillment, satisfaction and engagement when actively shaping the bank’s direction. The collaborative nature of AI-powered strategic planning leads to heightened employee engagement and a strong sense of community within the organization.

Visualize AI-based strategic planning as a two-sided funnel. At the top is a wide entry point where extensive employee input is gathered and valued. This input flows down to the funnel’s narrow middle, where the leadership team, representing a smaller group, makes informed decisions to finalize and activate the strategic plan. At the bottom of the funnel is the strategy execution phase, engaging a larger portion of the organization through AI-supported internal peer groups. This structure ensures a cohesive and comprehensive strategy that reflects collective insight and is agile in its implementation.

AI, in this capacity, not only revolutionizes efficiency and engagement within strategic planning but also enhances strategy execution, making it more agile and adaptive to changing circumstances. By integrating AI into strategic planning and execution, banks can achieve a more engaged workforce, a clearer strategic direction and a more competitive stance in the banking industry.

Impact on Employee Engagement

Adding to the transformative role of conversational AI in strategic planning and execution, it’s crucial to underscore the significant benefits of improved employee engagement that this technology facilitates. The importance of engagement in the workplace cannot be overstated, especially in light of recent findings by Gallup’s “State of the Global Workplace” report. According to Gallup, the global employee engagement rate stood at a concerning low, with only 20% of employees feeling engaged in their work. This alarming statistic highlights the widespread issue of disconnection in the workplace and underscores the urgency for innovative solutions to bolster engagement.

The integration of AI into the strategic planning process offers a direct path to addressing this challenge. By involving employees in meaningful conversations about the bank’s future and actively incorporating their insights into the strategic plan, AI fosters a sense of ownership and purpose among staff. This approach ensures that employees are not merely executing predetermined tasks but are actively contributing to the bank’s vision and objectives. As individuals work together towards a common goal, they establish deeper and more meaningful relationships with their colleagues, creating a more cohesive and motivated workforce.

The benefits of such improved engagement are profound. Engaged employees exhibit higher levels of productivity, creativity and loyalty, directly contributing to the bank’s operational excellence. Furthermore, the sense of fulfillment and belonging that comes from being part of a collaborative and purpose-driven team leads to greater job satisfaction and emotional well-being among employees. This, in turn, reduces turnover rates and fosters a positive organizational culture that attracts top talent.

The use of AI not only revolutionizes the efficiency and impact of strategy planning and execution within banks but also plays a crucial role in enhancing employee engagement. Through fostering a collaborative work environment, AI helps build a more engaged, loyal and fulfilled workforce, driving the bank towards greater success and resilience.

Why It Matters to Banks

Building on the transformative potential of conversational AI in strategic planning, execution and enhancing employee engagement, it is essential to contextualize its specific application and profound significance within the banking sector. Banks play a pivotal role in the economic vitality of communities, acting as the backbone of local, regional and national economies.

The fundamental activities of banks, such as accepting deposits and extending loans, catalyze economic growth and development through the money multiplier effect. This economic principle illustrates how banks amplify the initial deposits they receive by loaning out money, which, in turn, is deposited and loaned out repeatedly, significantly increasing the overall money supply in the economy. The Federal Reserve Bank of St. Louis provides insight into this process, explaining how it supports businesses in securing capital for expansion, assists individuals in purchasing homes and enables consumers to make investments that drive economic activity. This cycle of depositing and lending supports the immediate financial needs of community members and fosters broader economic prosperity and growth.

Given the substantial impact of banks on community welfare and development, it is crucial for bank employees to fully comprehend their institution’s purpose and the far-reaching effects of its operations. Involving employees in the strategic planning and implementation processes through conversational AI enhances their understanding and appreciation of the bank’s role in the community and deepens their commitment to the bank’s mission. This approach ensures that employees are not merely bystanders in the bank’s operations but active participants in fulfilling its community-oriented objectives.

The engagement and involvement facilitated by AI empower bank employees to witness firsthand the tangible outcomes of their contributions. As employees gain greater insight into how their work supports local businesses, fosters economic development and assists community members in achieving financial stability and prosperity, they develop a stronger connection to the bank’s mission. This connection fosters a sense of gratification and loyalty among employees, further enhancing their motivation and engagement.

The integration of conversational AI in banks serves not only to streamline strategic planning and execution and to boost employee engagement but also to reinforce the understanding of the bank’s critical role in community economic vitality. By democratizing the strategic planning process, banks can ensure that their employees are fully aligned with and passionate about their mission to support and enrich their communities.

Given the banking sector’s unparalleled influence on the economic health and prosperity of the communities they serve, this alignment is essential. Therefore, leveraging conversational AI to involve employees in the bank’s strategic processes is a platform for internal improvement and a commitment to enhancing the bank’s positive impact on the broader community.

Blendification shapes the workplace by connecting Company Focus and Employee Focus with AI-powered software. This integration of professional expertise with advanced AI software fosters a unique synergy, shaping the workplace into a dynamic environment where employees actively contribute to their company’s direction. Visit blendification.com to learn more.

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