DLA Solicitation: Artificial Intelligence (AI) for financial reporting and audit processes

Notice ID

SP4701-25-S-C003

The Defense Logistics Agency (DLA) seeks innovative solutions leveraging artificial intelligence (AI) to enhance the efficiency and accuracy of its financial reporting and audit processes. As one of the largest government agencies, DLA undergoes annual financial statement and control-based audits. These audits are time-consuming and resource-intensive, often requiring manual review and analysis of large volumes of data to support complex assertions such as the completeness and accuracy of inventory balances. DLA is pursuing transformative, high-impact solutions to streamline these processes, resolve existing material weaknesses, improve audit quality, and reduce the burden on its personnel.

The purpose of this call to industry is to attract and identify best-of-breed solutions to address the problem set and meet operational capabilities.  This aligns with the objectives set forth in Sec. 1007 of the Fiscal Year 2025 National Defense Authorization Act, which underscores the importance of AI technology in auditing financial statements within the DoD. With the increasing complexity of financial reporting requirements and the massive amount of data to be managed, DLA is looking to incorporate artificial intelligence (AI) into its financial reporting processes. DLA is committed to leveraging cutting-edge technology to optimize its operations and ensure the highest level of transparency and accountability in its financial reporting, enhance its decision-making abilities, identify potential cost-saving opportunities, and improve the overall effectiveness of its financial management.

• Desired Solution Features

3.1        Phased approach to demonstrate the potential of AI, focused on financial reporting and audit processes prioritizing features, that offers the greatest potential for impact while minimizing initial development complexity.

3.2        Develop and demonstrate a prototype solution that resolves potential Pain Points, addresses Operational Capabilities, or presents a new approach:

Pain Points:

• Time-consuming and resource-intensive processes
• Manual review and analysis of large volumes of data
• Potential for human error in identifying anomalies and discrepancies
• Difficulty in identifying and addressing potential errors and accuracy

3.3        Establish a feedback loop within the prototype to enable continuous improvement of the proposed solution.

3.4        Vendors must have solutions that are at the IL4 level and be FEDRAMP Moderate certified with 90 days of award. However, it is expected that an offeror can achieve IL 5 level and FEDRAMP High certification.

More here.

🔊 Listen to Story