ServiceNow Generative AI and BOTs for DLA ICAM Automation - Agile Framework Implementation

The Defense Logistics Agency (DLA) is conducting market research for a ServiceNow Generative AI and BOTs project to automate Identity, Credential, and Access Management (ICAM) across Saviynt and OKTA platforms through an Agile framework implementation. The procurement seeks services to enhance security, compliance, and operational efficiency by automating key areas including Privileged Access Management, Segregation of Duties management, audit and compliance processes, application onboarding, and workflow approvals. Vendors must demonstrate expertise in ServiceNow, artificial intelligence, machine learning, ICAM technologies, and federal security compliance requirements. The comprehensive technical requirements include AI-powered virtual agents, intelligent BOTs, machine learning-driven risk assessment, and advanced integration architectures across seven key domains of platform configuration and security management. Interested parties must submit their responses by September 5, 2025, to Kevin Buckman at Kevin.Buckman@dla.mil, with submissions limited to 15 pages detailing company capabilities, technical approach, and implementation strategy.

This opportunity does not utilize any set-aside designations and no incumbent contractors are identified in the documentation. The project targets significant performance improvements including a 90% reduction in manual audit efforts, reducing application onboarding time from weeks to hours, and achieving a projected 300% return on investment within 24 months. The anticipated annual cost savings are approximately $2 million, though specific contract award values or budget ranges are not disclosed in the pre-solicitation notice. The initiative represents a substantial automation effort designed to modernize DLA's ICAM operations through advanced AI and machine learning technologies. The project timeline and duration details beyond the initial 24-month ROI projection are not specified in the current documentation.