DDAITF/013 Planning Data, Knowledge and Analytical Orchestration Services & COA Testing, Evaluation and Adaptation Services for Operational Planning

Tender description

The Ministry of Defence (MOD), through the Defence AI Accelerator Task Force (TF RAID), intends to procure a secure, scalable capability to support operational planning across Defence. TF RAID exists to accelerate the responsible adoption of artificial intelligence (AI) and data-enabled capabilities in support of Defence outcomes, working with users, technical specialists and industry to identify, test and transition operationally relevant solutions. This requirement is expected to support operational planners by improving access to authorised planning information, enabling reusable machine-readable planning knowledge, orchestrating analytical services, and supporting the modelling, testing and comparison of alternative Courses of Action (COAs). The procurement will be structured as a single competition with 2 Lots: - Lot 1 will focus on planning data, knowledge and analytical orchestration services; and - Lot 2 will focus on COA testing, evaluation and adaptation services. Suppliers are invited to bid for 1 or both lots. Together, the Lots are intended to improve the speed, quality, traceability and robustness of operational planning while maintaining appropriate human oversight, governance, transparency, security and interoperability within Authority-approved environments, including those handling information up to SECRET UK EYES ONLY where required. MOD will be seeking to compete this requirement through the Government Commercial Agency Artificial Intelligence Dynamic Purchasing System (AI DPS/RM6200). Participation in any subsequent competition will therefore be limited to suppliers appointed to the relevant Lots of the AIDPS Framework who pass the shortlist filter exercise. Lot 1: Planning Data, Knowledge and Analytical Orchestration Services (PDKAOS) The requirement is expected to support operational planning activities through the integration of planning data, machine-readable planning knowledge and advanced analytical services. The Authority seeks a capability that improves the speed, quality and scale of operational planning whilst maintaining appropriate human oversight, governance, transparency and security. Requirement Summary: The Authority requires an initial capability to support operational planners by enabling them to: • Discover, access and exploit authorised planning information from multiple sources. • Create and maintain reusable representations of planning knowledge, expertise, assumptions, dependencies and relationships. • Assemble, configure and reuse analytical services in support of operational planning tasks. • Improve traceability between planning inputs, analytical activities and planning outputs. • Reduce dependency on fragmented information sources, manual processes and specialist knowledge bottlenecks. The capability is expected to support planning activity across multiple domains, operational functions and echelons of command rather than providing a single-purpose planning application. Lot 2: COA Testing, Evaluation and Adaptation Services for Operational Planning The requirement is expected to support operational planning activities through the representation of operational environments, modelling of Courses of Action (COAs), evaluation of alternative scenarios and adversary responses, and generation of evidence-based insights to support planning and decision-making. The Authority seeks a capability that improves the speed, quality and robustness of operational planning whilst maintaining appropriate human oversight, governance, transparency and security. The Authority requires an initial capability to support operational planners by enabling them to: • Represent operational environments, actors, assumptions, constraints and dependencies in reusable and machine-readable forms. • Model, test and compare alternative Courses of Action. • Explore multiple operational scenarios, environmental conditions, assumptions and adversary responses. • Generate evidence-based insights to support adaptation and refinement of operational plans. • Improve traceability between planning inputs, analytical activities and planning outputs. • Reduce reliance on manual wargaming, fragmented information sources and time-intensive analytical processes. The capability is expected to support planning activity across multiple domains, operational functions and echelons of command rather than providing a single-purpose planning application.