FinAnalytics: Translating GenAI’s $340 Billion Value-Add for Banks into Real Impact

Generative AI (GenAI) is primed to drive the next transformation phase in the banking and financial services sector, adding $340 billion in value in 2025. With accelerated credit risk assessment that drives up loan sanctions, assisted risk underwriting with an extensive non-traditional database, and audit reports in the right format that simplifies compliance, GenAI can help financial analysts evolve beyond tactical roles.

As GenAI takes over much of the administrative and cognitive load, it frees up bandwidth for more value-adding tasks. It enables financial and risk analysts to work more closely with business heads to embed risk controls earlier in the product lifecycle, reducing the margin of error downstream and further bolstering the bank’s risk posture.

To unlock this opportunity, banks must embed GenAI across lines of business and workflows. However, doing this with generally available GenAI models brings with it a unique set of challenges:

• Encoded Bias: GenAI can generate output that may be systematically biased against specific user groups due to encoded biases in the training data, which can lead to unfair treatment or discrimination. Using this as the basis of loan disbursement or risk factoring can lead to potential losses, especially on the compliance side.
• Intellectual Property Infringement: Potential violations of copyright laws and occurrences of plagiarism are possible, particularly because foundational models often utilize open-source data and this exposes banks to additional compliance burdens.
• Privacy Concerns: There is a risk of unauthorized public disclosure of personal or sensitive information, which can raise significant privacy issues for individuals.
• Hallucination: Models may occasionally produce factually incorrect or outdated information, leading to inaccuracies and derailing decision-making.
• Third-Party Risks: The use of third-party tools may expose proprietary data to the public domain, raising concerns about data leakage and intellectual property security.

Bridging the GenAI Gap with FinAnalytics: A CoPilot-Led Solution Developed by Persistent and Microsoft  

To help banks tap into GenAI’s potential, Persistent teamed up with Microsoft to create a secure, scalable, and easily integrated GenAI solution that addresses these challenges.

Introducing FinAnalytics, a Microsoft CoPilot-led financial and non-financial analytics solution built on unique business logic and AI agents trained on Persistent’s deep domain expertise and a long-standing AI practice. With its curated business-first framework and a secure GenAI foundation, FinAnalytics helps banks halve their operational costs and boost efficiency by 40%, delivering:

• Precision-Driven Insights: Utilizes curated GenAI to provide context-rich financial insights, enhancing accuracy and minimizing hallucination risks.
• Secure Data Handling: By keeping protected and private data in a secured setting, FinAnalytics helps address issues of data leakage and unauthorized access.
• Effortless Integration: Seamlessly integrates with existing technology ecosystems, ensuring smooth adoption with minimal disruption.
• Scalable Architecture: Designed to support the evolving needs of financial institutions, from regional banks to global enterprises.
• Outcome-Focused Delivery: Prioritizes measurable business value through improved efficiency, profitability, and compliance.

FinAnalytics helps banks accelerate time to value with CoPilot-driven insights sourced from banks’ proprietary data in a secure environment. Built on a business-centric framework, the solution orchestrates AI agents to execute banking workflows and processes, coordinating with cross-functional teams and distributed data sets to create risk reports and audit trails, and automates much of the manual effort put in by financial analysts. This helps drive:

• Holistic Data Insights: Integrates financial and non-financial data from diverse sources, offering a comprehensive view for informed decision-making.
• Accelerated Risk Evaluations: Copilot agents deliver real-time insights, reducing the time required for credit risk and due diligence assessments.
• Contextual Credit Ratings: Generates accurate credit ratings by analyzing macroeconomic factors, competitive positioning, and management reliability.
• Regulatory Readiness: Produces audit-ready, regulation-compliant reports, ensuring institutions meet evolving compliance demands.

Delivering Bottom-Line Impact with FinAnalytics

Our co-developed solution is already in use and generating benefits for large companies. A leading global financial services firm implemented FinAnalytics to modernize its processes around credit risk assessment, investor call analysis, and share price movement of its strategic customers. The outcomes were transformative:

• 60% Faster Assessments: Streamlined credit risk evaluations and accelerated loan approval timelines.
• 99% Data Accuracy: Increased confidence in financial insights with minimal manual intervention, reducing errors and rework.
• Operational Cost Reduction: Automation of key financial processes generated 50% cost savings.
• Regulatory Compliance: Producing precise audit and compliance reports that aligned seamlessly with industry regulations

To know how FinAnalytics can help your bank streamline operations and boost productivity for bottom-line impact with GenAI, schedule a call with our experts today.