Multi-agent orchestration, proven where the stakes are highest.
One agent automates a task. Defence workloads need many agents working one problem (fusing sources, drafting assessments, and checking each other) under rules that keep a human on every decision. That orchestration layer is Mirai360 AI's core strength, and defence is the most demanding environment we serve. Vajra, our defence AI platform, is the proof point.
users given AI on the desktop by the US Department of Defense's GenAI.mil platform, with agentic tooling named as a priority. DefenseScoop, Dec 2025.[1]
surge in multi-agent-system inquiries recorded by Gartner between Q1 2024 and Q2 2025. Gartner, Aug 2025.[2]
problem statements in India's DISC 14 defence-innovation challenge, spanning AI/ML, autonomous systems, and surveillance. iDEX, 2026.[3]
Why orchestration is the hard part
The models are not the bottleneck; the harness around them is. Deloitte finds only 21% of companies have a mature governance model for agents[4], and Gartner expects over 40% of agentic AI projects to be cancelled by end-2027 on cost, unclear value, and weak controls.[5] Those failures are orchestration failures: agents with no defined authority, no audit trail, and no human checkpoint. Mirai360 AI builds the opposite: a platform where every agent has a defined role, a logged history, and a person who approves its output. Defence is where that architecture is tested hardest, which is why it anchors this page.
The workflow areas agents take on
The areas below are drawn from published, public defence-AI programmes. Every workflow keeps a human on the loop; none involves autonomous use of force.
Intelligence, surveillance, and reconnaissance data fusion
- Workflow
- Fusing feeds from satellites, drones, ground sensors, and open sources into one operational picture.
- What the agents do
- Correlate and de-duplicate streams, flag anomalies, and draft a prioritised situational summary. Separate agents fuse, check, and summarise.
- What the human approves
- An analyst validates the fused picture before it informs any decision.
- Measured outcome
- Time from raw feed to validated picture, against the pre-deployment baseline.
Predictive maintenance and logistics sustainment
- Workflow
- Anticipating equipment failures and supply shortfalls from fleet telemetry and supply data.
- What the agents do
- Predict part failures, draft maintenance schedules, and propose re-routing or re-ordering of supplies. The US Defense Logistics Agency publicly describes using AI to move to a predictive supply posture.[6]
- What the human approves
- A sustainment officer authorises schedule changes and procurement actions.
- Measured outcome
- Equipment availability and supply lead time, against the pre-deployment baseline.
Intelligence summarisation and report drafting
- Workflow
- Compressing large volumes of reports and sensor logs into standardised briefings.
- What the agents do
- Summarise, extract entities, and draft intelligence products with citations back to each source.
- What the human approves
- An intelligence officer reviews and signs off before any dissemination.
- Measured outcome
- Briefing preparation time and source-coverage rate, against the pre-deployment baseline.
Decision support for command staff
- Workflow
- Supporting staff planning by generating and stress-testing courses of action.
- What the agents do
- Draft options, surface constraints, and prepare staff estimates. The agents never take autonomous action. Published military AI doctrine makes the human-on-the-loop requirement explicit.[7]
- What the human approves
- The commander retains full authority; every recommendation requires human validation.
- Measured outcome
- Planning cycle time, against the pre-deployment baseline.
Training and simulation
- Workflow
- Generating exercise scenarios and adaptive opposing forces, and drafting after-action reviews.
- What the agents do
- Build synthetic scenarios, adjust difficulty as the exercise runs, and draft after-action summaries.
- What the human approves
- Instructors approve scenario design and validate every after-action finding.
- Measured outcome
- Scenario preparation time and exercise throughput, against the pre-deployment baseline.
Back-office and administrative operations
- Workflow
- Processing procurement paperwork, personnel records, and compliance checks.
- What the agents do
- Draft documents, check them against policy, and route them for approval.
- What the human approves
- An administrator signs off before any record or order is finalised.
- Measured outcome
- Processing time per document, against the pre-deployment baseline.
Vajra: the proof point
Vajra is our defence AI platform, applying the Mirai360 stack to intelligence workflows for the defence sector. Vajra runs on the same platform primitives as every commercial deployment we make (the LLM gateway, evals, guardrails, cost controls, and audit trail), hardened for the environment above. The demand signal is public: India's iDEX/DISC programme alone lists 82 open problem statements across AI, autonomy, and surveillance[3], and allied defence budgets are moving the same way, with US C5ISR funding requested at $42.7B for FY2026, an 11.4% increase year over year.[8]
The point for a commercial buyer reading this page is simpler: the orchestration, governance, and audit architecture your business runs on is the one we build to defence-grade demands. The platform is the same stack; it is not scaled down for you.
Talk to us.
For defence-sector inquiries and for any organisation that needs multi-agent orchestration under real governance, start with a 30-minute conversation.
Book a 30-minute callSources
- DefenseScoop, "GenAI.mil platform gives DoD commercial AI models and agentic tools," 9 December 2025: defensescoop.com/2025/12/09/genai-mil-platform-dod-commercial-ai-models-agentic-tools-google-gemini/
- Gartner press release, 26 August 2025: gartner.com/en/newsroom/press-releases/2025-08-26-gartner-predicts-40-percent-of-enterprise-apps-will-feature-task-specific-ai-agents-by-2026-up-from-less-than-5-percent-in-2025
- iDEX (Innovations for Defence Excellence), DISC 14 challenge listing: idex.gov.in/challenges
- Deloitte, Technology, Media and Telecom Predictions 2026: AI agent orchestration: deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2026/ai-agent-orchestration.html
- Gartner press release, 25 June 2025: gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027
- Nextgov/FCW, "AI enhances Defense Logistics Agency's end-to-end operations, CIO says," November 2025: nextgov.com/artificial-intelligence/2025/11/ai-enhances-defense-logistics-agencys-end-end-operations-cio-says/409683/
- US Air Force Doctrine Note 25-1, Artificial Intelligence, 8 April 2025: doctrine.af.mil
- Frost & Sullivan via PR Newswire, "US C5ISR funding reaches $42.7 billion," 18 June 2026: prnewswire.com/news-releases/us-c5isr-funding-reaches-42-7-billion-as-ai-open-architectures-and-next-generation-technologies-reshape-defense-modernization-302804766.html