Enterprise Digital Thread with Mission-Aware Decision Intelligence Platform for DLA

Summary

KEYWORDS Enterprise Digital Thread; Decision Intelligence; Connected IT; DLA Strategic Plan; Data Fabric; Zero Trust; Multi-Cloud Integration; Logistics; AI/ML; Process Mining; Mission Awareness; API Integration; Federated Architecture OBJECTIVE The Defense Logistics Agency (DLA) seeks to enhance logistics readiness, decision advantage, and enterprise efficiency in alignment with the DLA Strategic Plan's priorities of mission readiness, supply chain resilience, data-driven decision-making, and enterprise integration. DLA operates within a complex, hybrid, and multi-cloud environment that includes AWS GovCloud-hosted process mining capabilities such as Celonis, Google Cloud-based enterprise data fabric services, Oracle Cloud enterprise applications (including AMPS), private Operational Technology (OT) environments secured under Zero Trust principles, and core business systems such as SAP S/4HANA. Enterprise IT operations and governance are enabled through ServiceNow, including IT Service Management (ITSM) and Strategic Portfolio Management (SPM), with additional automation supported by UiPath. In alignment with the DLA J6 CIO Digital Strategy and Connected IT campaign, which prioritizes integration of existing capabilities, elimination of duplicative IT investments, and use of accredited enterprise services, DLA seeks a lightweight, federated platform implemented as an API-driven capability layer that connects and operationalizes current systems rather than replacing them. The objective is to enable an Enterprise Digital Thread with embedded, mission-aware decision intelligence that correlates process, cyber, and enterprise data to provide predictive and prescriptive, human-in-the-loop decision support. This capability will improve decision speed, enhance mission impact awareness, strengthen supply chain resilience, and maximize return on investment (ROI) across DLA's enterprise IT portfolio while operating within DoW IL4/IL5 and FedRAMP authorized environments. Proposed efforts shall demonstrate technical feasibility at Technology Readiness Level (TRL) 6-9, with emphasis on interoperability, scalability, and secure integration across federated environments. ITAR The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with section 3.5 of the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. DESCRIPTION The Defense Logistics Agency (DLA) seeks to enhance logistics readiness, decision advantage, and enterprise efficiency in alignment with the DLA Strategic Plan's priorities of mission readiness, supply chain resilience, data-driven decision-making, and enterprise integration. DLA operates within a complex, hybrid, and multi-cloud environment that includes AWS GovCloud-hosted process mining capabilities such as Celonis, Google Cloud-based enterprise data fabric services, Oracle Cloud enterprise applications (including AMPS), private Operational Technology (OT) environments secured under Zero Trust principles, and core business systems such as SAP S/4HANA. Enterprise IT operations and governance are enabled through ServiceNow, including IT Service Management (ITSM) and Strategic Portfolio Management (SPM), with additional automation supported by UiPath. In alignment with the DLA J6 CIO Digital Strategy and Connected IT campaign, which prioritizes integration of existing capabilities, elimination of duplicative IT investments, and use of accredited enterprise services, DLA seeks a lightweight, federated platform implemented as an API-driven capability layer that connects and operationalizes current systems rather than replacing them. The objective is to enable an Enterprise Digital Thread with embedded, mission-aware decision intelligence that correlates process, cyber, and enterprise data to provide predictive and prescriptive, human-in-the-loop decision support. This capability will improve decision speed, enhance mission impact awareness, strengthen supply chain resilience, and maximize return on investment (ROI) across DLA's enterprise IT portfolio while operating within DoW IL4/IL5 and FedRAMP authorized environments. Proposed efforts shall demonstrate technical feasibility at Technology Readiness Level (TRL) 6-9, with emphasis on interoperability, scalability, and secure integration across federated environments.

PHASE I

Phase I will focus on feasibility, architecture design, and proof-of-concept demonstration aligned to DLA Strategic Plan and CIO priorities. Efforts shall include: Development of a federated system architecture aligned to DoW IL4/IL5 and FedRAMP High environments Definition of API-based integration strategies leveraging Enterprise tools such as MuleSoft Prototype demonstration of: Cross-domain data integration Initial mission dependency modeling Decision support aligned to logistics use cases Integration approach aligned to: ServiceNow (ITSM/SPM governance) Celonis Development of a transition and ATO strategy supporting CIO digital strategy

PHASE II

Phase II will develop and demonstrate a scalable prototype aligned to enterprise deployment and strategic outcomes. Efforts shall include: Integration across representative enterprise systems and environments

Implementation of

Mission dependency models AI-enabled predictive and prescriptive analytics using Vertex AI Real-time or near-real-time data processing Integration with ServiceNow for workflow and governance Demonstration of mission-relevant use cases supporting: Supply chain resilience Logistics readiness Cyber-to-mission impact analysis

Decision Intelligence Dashboard

Demonstration Report with measurable outcomes: Reduced decision latency Improved mission visibility Increased system utilization ATO Transition Plan aligned to DoW environments

PHASE III DUAL USE APPLICATIONS

Successful solutions are expected to transition into DLA enterprise environments and broader DoW applications supporting logistics, cyber-physical systems, and enterprise IT integration. Commercial applications include supply chain optimization, critical infrastructure resilience, and enterprise decision intelligence platforms. REFERENCES DLA Digital Strategy 2025 2030 https://www.dla.mil/Info/Strategic-Plan/Digital-Strategy/ DLA AI for Supply Chain Risk https://www.dla.mil/About-DLA/News/News-Article-View/Article/4186367/utilization-of-artificial-intelligence-ai-to-illuminate-supply-chain-risk/ DLA Cyber Digital Twin SBIR https://www.executivegov.com/articles/dla-digital-twins-ot-systems-security Digital Thread Definition https://www.waru.edu/glossary/digital-thread DoD / USAF Digital Thread Implementation https://newsroom.sw.siemens.com/it-IT/digital-thread-for-defense/ Digital Interoperability Strategy https://www.executivegov.com/articles/defense-logistics-agency-officials-digital-interoperability Digital Thread Supply Chain (USAF) https://www.wpafb.af.mil/News/Article-Display/Article/1087681/digital-thread-laces-decision-making-data-for-air-force-acquisition/ DoD Digital Engineering Mandate DoDI 5000.97 Digital Engineering