We build AI systems that organisations can trust, control, and govern — designed for the sectors where autonomy without accountability is not an option.
MissionOpsAI builds, deploys, and operates AI systems with governance at their core. We exist for organisations in regulated industries where the cost of getting AI wrong isn't just financial — it's existential. Regulatory penalties, compromised patient safety, national security breaches. These are the stakes our platform is built for.
Our platform, Foundry, orchestrates AI across multiple providers with defence-grade governance. Our workspace, M-Suite, replaces vendor-locked productivity suites with sovereign alternatives. Together, they give organisations complete control over their AI operations and data — without sacrificing capability or speed.
"Mission Command is a military philosophy of command that promotes decentralised decision-making, freedom and speed of action, and initiative — within the commander's intent."
Established military doctrine, applied to artificial intelligenceDefine what AI should achieve, not how to achieve it step by step. Set the objective, the boundaries, and the acceptable risk — then let the system find the optimal path.
AI agents operate independently within defined boundaries. Local decisions happen at speed, without bottlenecks, while strategic oversight remains with your people.
Freedom to act, but always within governance constraints. Every agent has a clear scope, a risk tier, and escalation rules. Autonomy is earned, not assumed.
Trust between humans and AI is earned through transparency, complete audit trails, and demonstrated competence — not through vendor promises or marketing claims.
When we started building AI systems for complex organisations, we discovered that every enterprise AI project hits the same wall: how do you give AI enough autonomy to be useful while maintaining the governance that regulators, clients, and boards demand?
The answer wasn't another AI tool — it was an operations layer. A platform that sits between your organisation and AI providers, orchestrating capabilities while enforcing governance. That platform is Foundry.
Every feature in Foundry exists because we needed it ourselves. Every governance control was built to solve a real compliance requirement. Every integration was driven by an actual operational need. We don't just sell it — we run our entire business on it.
Foundry implements the architectural principles that Cisco's VP/CTO identified as necessary for distributed AI systems — not as a whitepaper or reference architecture, but as operational software that organisations can deploy today.
Independent validation of our approach to distributed AI governanceOur approach is built on principles from defence and intelligence operations — not because we think business is warfare, but because these domains have spent decades solving the exact problem AI now creates: how do you delegate decisions to distributed agents while maintaining command, control, and accountability?
Clear escalation paths and tiered decision frameworks. AI operates freely within its defined scope, and escalates precisely when it should — no more, no less.
Every action, every decision, every data access — logged, timestamped, and attributable. When a regulator asks what happened, you have the answer.
Not all decisions carry the same weight. Our three-tier autonomy model matches the level of human oversight to the risk and impact of each action.
Operational security as a default, not an afterthought. Data sovereignty, access controls, and encryption are built into the architecture — not bolted on later.
Whether you're building AI operations from scratch or bringing governance to existing deployments, we'd like to hear from you.
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