Planning

Pj HARMOS (AI Tooling for a Health Assessment and Risk Management Operational System)

MINISTRY OF DEFENCE

This public procurement record has 1 release in its history.

Planning

12 Dec 2025 at 18:25

Summary of the contracting process

The Ministry of Defence is preparing to launch a project titled "Pj HARMOS (AI Tooling for a Health Assessment and Risk Management Operational System)" in the services industry category, with a focus on software consultancy services. Located in the United Kingdom, this project is currently in the planning stage with an anticipated competition release via the Artificial Intelligence Dynamic Purchase System (AI DPS - RM6200) in late January or February 2026. This initiative aims to develop an AI-assisted software platform for optimising the production of operational medical plans and healthcare risk assessments, benefiting both medical and non-medical planners. Businesses interested should note the future notice date set for 12th December 2025, and the pilot phase is expected to last for 3 to 4 months on MODCloud.

This tender provides an opportunity for businesses specialising in AI development, software consultancy, and innovation acceleration to engage with the Ministry of Defence and contribute to a pivotal military operation enhancement project. Companies capable of utilising the Rapid Development and Innovation Platform (RDIP), an AWS-based accredited platform, would be well-suited to compete. The project promises significant growth potential by reducing planning time, improving risk assessment accuracy, and facilitating effective knowledge transfer, all of which support efficiencies in deployment planning and military personnel welfare. Suppliers are encouraged to register on the AI DPS to partake in the upcoming tender, offering a pathway to substantial business growth through technical expertise and innovation in defence operations.

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Notice Title

Pj HARMOS (AI Tooling for a Health Assessment and Risk Management Operational System)

Notice Description

Project HARMOS (Health Assessment and Risk Management Operational System) will deliver an Agentic AI-assisted software platform that optimises production of operational medical plans and Healthcare Risk Assessments (HRAs). The initial activity is a 3 - 4 month pilot/MVP on MODCloud for ~50 med and non-med planners, delivering validated first-pass med plans and HRAs, demonstrable evidence of data lineage, measurable time savings for CMAs (OF3-OF5) and a pathway to scale/transition to DMS Digital. Suppliers should be prepared to build their solution on the Rapid Development and Innovation Platform (RDIP) which is an accredited AWS-based solution available via MODNET. RDIP offers platform, software, and expertise as a service with the aim of accelerating innovation projects and simplifying accreditation processes. The Joint Hub for Innovation (jHub) will be the project owners for HARMOS. jHub wishes to enhance the speed and efficiency of Medical Planning through the use of AI-supported tooling. The primary objectives include: 1. To reduce the time required for generating draft medical operations plans from the current 5 days to approximately 30 minutes for a first pass. 2. To improve the accuracy of medical risk assessments by leaning on a repository of Post Exercise Reports (PXRs), historical event data, and prior art. 3. To facilitate effective knowledge transfer between deployments, ensuring lessons learned are incorporated into future deployment planning. Through achieving these objectives, jHub will be better positioned to further support the welfare of the military personnel being deployed. The intention of the Pilot / MVP will be to deliver an AI-supported tool that can produce the first draft of a Medical Operations plan, using historical data, priorart (existing technologies, methods or systems that have been developed prior to the creation of new military innovation), and open source data. The solution will allow jHub to specify a location, number of personnel, and the type of activities being completed during deployment, and receive an automated draft Medical Operations Plan with perspectives specific to different roles, with potential risks highlighted. The system will maintain a searchable repository of previous deployments and provide real-time monitoring capabilities through visual dashboards. The output from this tool can then be reviewed, improved, and shared rapidly with colleagues across the UK MOD using a widely understood language. Route to Market: Artificial Intelligence Dynamic Purchase System - ref. RM6200 https://supplierregistration.cabinetoffice.gov.uk/dps/RM6200?nav=0 The intended route to market will be RM6200 referenced above. Please note this is subject to change should a more suitable route be identified. If you are interested in this project, we would encourage you to register on the AI DPS ahead of our intended competition timelines. The categories for filter are not yet defined but will be aligned to the requirement outlined above. Timelines: The intention is to release this project to competition via RM6200 late January/February 2026. Timelines are subject to change.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-05f541
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/082699-2025
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Planning Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support


CPV Codes

72200000 - Software programming and consultancy services

72266000 - Software consultancy services

Notice Value(s)

Tender Value
£700,000 £500K-£1M
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
12 Dec 20255 months ago
Submission Deadline
Not specified
Future Notice Date
12 Dec 2025Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planned
Lots Status
Planned
Awards Status
Not Specified
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
MINISTRY OF DEFENCE
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
N/A
Post Town
Not specified
Country
Not specified

Major Region (ITL 1)
Not specified
Basic Region (ITL 2)
Not specified
Small Region (ITL 3)
Not specified
Delivery Location
Not specified

Local Authority
Not specified
Electoral Ward
Not specified
Westminster Constituency
Not specified

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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