DRIFT
A shared decision substrate. Humans hold authority. AI consults on demand. Automation acts where resistance is bounded.
Most AI tells you what to decide. DRIFT exposes the decision landscape, empowering the decision maker.
DRIFT does not automate decisions. It makes human decisions more defensible.
Most XAI explains the past. DRIFT illuminates the path forward.
GPS does not tell you where to drive. It creates a trusted coordinate space that every driver, aircraft, financial network, autonomous system, and emergency responder reads from differently.
Modern AI has no equivalent decision substrate underneath it.
DRIFT provides the trusted terrain underneath decisions. Humans, AI agents, and autonomous systems all read from the same qualified landscape.
It does not replace your tools, your operators, your review boards, or your autonomous systems. It provides the bounded terrain they operate within.
Trusted terrain builds trusted decisions.
DRIFT builds decision landscapes from complex inputs of any kind.
The engine is domain-independent. It accepts structured input from radically different sources — a mission review board, a defense acquisition program, a contested drone swarm — and produces the same kind of output every time: a navigable map of where decisions are free, where they are hardening, and where they are locked.
What makes that possible is not a clever model. It is a small set of postulates the engine refuses to violate, much like the laws of physics.
- Principled, not heuristic The engine obeys a fixed set of rules across every domain it touches.
- Domain-independent The same engine runs unchanged on missions, programs, and autonomy.
- Legible by construction Every output traces back to inputs a human can inspect.
- Conservative under uncertainty The engine reports what it does not know rather than smoothing it away.
— the postulates are enforced; the math is sealed
AI is not in the engine.
AI works on the engine.
The engine keeps the landscape anchored in reality.
DRIFT is domain agnostic.
Bring your data, your tools, your stakeholders, your constraints. DRIFT builds the resistance landscape underneath. The decision stays with you.
Your stack doesn't change.
DRIFT is infrastructure. Your inputs, your agents, your UI plug in. The engine is the constant.
your users already produce
or skip this layer
briefings · widgets
- Deterministic Identical inputs always produce identical outputs.
- Stateless No data from one request influences another.
- Complete Every alternative scored on every layer.
- Validated Inputs schema-checked; invalid requests rejected.
DRIFT is a sealed Docker engine. Integrate against ICD-DRIFT-001, the stable public interface contract. Your systems don't change. Our engine doesn't open.
Same engine, different domains.
Domain agnostic by design. Validation proven, demonstrated, and targeted.
DRIFT matched a NASA review board's findings at over 80% concordance and surfaced additional issues the team had not yet flagged.
Multi-agent swarm prototype with mesh coordination caught reasoning failures a single agent would have missed.
Hierarchical federation architecture for ATC modernization. Local facilities operate independently while qualified observations propagate across the network.
Concentric-ring portfolio view with Decision Closure Curve tracking option viability over time.
Shared Decision Substrate
Where humans and AI work safety-critical decisions together, neither replacing the other.
Air traffic control. The Secretary of Transportation has committed $12.5 billion to modernization with AI as a stated component, and his framing is exact: AI tools, but AI does not make decisions. That is the framing DRIFT was built for.
Resistance, freedom, and hardening rendered as structured representation. Weather, fuel, coordination, rules, equipment — the pressures controllers carry in their heads today, externalized into a working surface that both humans and AI agents read.
Holds full decision authority. Signs the clearance. Carries the consequence. Brings judgment, experience, and accountability that does not transfer to a machine.
Reads the same landscape. Provides a consistent analytical floor that does not change with who is at the console, how many hours into the shift, how busy the day has been. Surfaces blind spots. Answers questions on demand. Never recommends actions.
What was invisible becomes visible. Stakeholder divergences that today stay hidden in voice coordination surface automatically. System-level patterns that no individual facility can see become detectable across the network. The cognitive context of every operational moment is captured as ground truth, not reconstructed after the fact.
Not a prediction engine. Not a recommendation system. Not a surveillance tool. DRIFT does not generate controller performance metrics — this is a public commitment, not an aspiration. The pitch to the workforce is offensive, not defensive: AI as a colleague at every position, not a replacement for any of them.
The landscape made visible, the decision stays with you.
Matthew D. Magsamen
Tell me about your decision environment. I will follow up to schedule a private demonstration.
Patent Pending · US Provisional 63/988,869 (DRIFT) and 64/013,824 (MSR)
Decision Resistance is a trademark of Matthew Magsamen
All rights reserved · Unclassified