--- title: "DDAITF/013 Planning Data, Knowledge and Analytical Orchestration Services & COA Testing, Evaluation and Adaptation Services for Operational Planning" ocid: "ocds-h6vhtk-06f757" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06f757" markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-06f757.md" json_url: "https://d3tenders.com/contract/ocds-h6vhtk-06f757.json" source: "Find A Tender Service" current_stage: "Planning" buyer: "Ministry of Defence" published: "2026-09-10" --- # DDAITF/013 Planning Data, Knowledge and Analytical Orchestration Services & COA Testing, Evaluation and Adaptation Services for Operational Planning Buyer: Ministry of Defence Current stage: Planning OCID: ocds-h6vhtk-06f757 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06f757) [Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-06f757.json) ## Summary The Ministry of Defence, through its Defence AI Accelerator Task Force, is planning secure, scalable services to support operational planning. The work is software development and defence AI services, delivered for Defence in London and potentially within Authority-approved environments handling information up to SECRET UK EYES ONLY. Lot 1 covers planning data, machine-readable knowledge and analytical orchestration: discovering authorised information, representing expertise and dependencies, reusing analytical services, and tracing inputs to outputs. Lot 2 covers Courses of Action testing, evaluation and adaptation: modelling operational environments, scenarios and adversary responses, comparing options, and producing evidence-based insights. Both lots aim to reduce fragmented information, manual work and specialist knowledge bottlenecks while preserving human oversight, governance, transparency, security and interoperability. Suppliers may seek one or both lots. This is a planned procurement at the market-engagement stage, not a formal invitation to tender. The MOD expects to use the Government Commercial Agency Artificial Intelligence Dynamic Purchasing System, with participation in any later competition limited to suppliers appointed to the relevant AI DPS lots who pass a shortlist filter. The indicative start date for shortlisting is 21 September 2026. The subsequent competition is expected to have two stages: a lighter-touch technical assessment and initial down-selection, followed by further technical assessment and submission and evaluation of a commercial envelope. Competition documents are expected to set out the final evaluation and submission requirements. The authority reserves the right to change the scope, procurement strategy, timescales and commercial approach before competition. This will suit suppliers combining defence or operational-planning knowledge with software engineering, data architecture, artificial intelligence, analytical modelling and systems integration. Relevant strengths include building secure, scalable and interoperable capabilities; connecting multiple authorised information sources; creating reusable machine-readable knowledge models; orchestrating analytical services; and providing traceability, explainability and human oversight. Lot 2 additionally favours experience in operational-environment representation, scenario modelling, wargaming or simulation, adversary-response analysis, Courses of Action comparison and evidence-based decision support. Suppliers should be able to work across domains, operational functions and command levels rather than delivering a single-purpose application. Experience of governance, transparency, information assurance and environments handling sensitive Defence information will be important. Businesses must prepare to join the AI DPS and obtain appointment to relevant lots before competing. ## Notice 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 Information 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. 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. ## Key Details | Field | Value | | --- | --- | | Publication source | Find A Tender Service | | Latest notice | https://www.find-tender.service.gov.uk/Notice/086095-2026 | | Notice type | Planning Notice | | Procurement type | Dynamic | | Procurement category | Services | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | Not specified | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 10 Sep 2026 | | Submission deadline | Not specified | | Future notice date | Not specified | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planned | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | Ministry of Defence | | Locality | LONDON | | Postcode area | Not specified | | Postcode | Not specified | | Country | Not specified | | ITL 1 | Not specified | | ITL 2 | Not specified | | ITL 3 | Not specified | | Local authority | Not specified | | Electoral ward | Not specified | | Westminster constituency | Not specified | | Delivery location | Not specified | ## CPV Codes ### Divisions - 72 - IT services: consulting, software development, Internet and support ### Codes - 72212517 - IT software development services - 72262000 - Software development services ## Release History - 10 Sep 2026 at 16:28 - Planning - Planning Notice - https://www.find-tender.service.gov.uk/Notice/086095-2026 ## Notice URLs - https://supplierregistration.cabinetoffice.gov.uk/dps-suppliers/RM6200 - https://supplierregistration.cabinetoffice.gov.uk/dps/RM6200?nav=0 - https://www.crowncommercial.gov.uk/agreements/RM6200 ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06f757. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-06f757.json.