IAYS Agents are Cognitive Agents.
Built on your operating model — not on prompt heuristics.
IAYS adds a dedicated cognition layer above any LLM, turning probabilistic output into governed evaluation.
Deploy cognitive agents across real workflows with explicit operating models, governed evaluation boundaries, and trace + versioning.
From probabilistic text to governed evaluation
Without structure, LLMs optimize for plausible responses.
With IAYS, they operate within explicit decision criteria.
- Separate knowledge from inference
- Apply decision-centric retrieval before generation
- Capture experience patterns and behavior constraints explicitly
- Encode decision rules explicitly
- Trigger escalation based on defined thresholds
- Produce structured, traceable evaluation artifacts
- Remain model-agnostic by design
Any foundation model can run underneath. The cognition layer remains yours.
What you get
- Versioned operating model (not evolving prompts)
- Explicit evaluation boundaries
- Escalation driven by thresholds
- Trace + review artifacts for every interaction
- Vendor-independent deployment
How IAYS agents differ
IAYS Agents are driven by an explicit operating model organized into knowledge, inference, experience, and behavior layers — not flattened into prompts.
Generic AI agents often rely on prompt engineering and model defaults. IAYS uses a dedicated cognition layer to enforce evaluation criteria, escalation logic, and policy constraints across workflows.
- Operating-model driven — behavior is structured by explicit logic, not left to probabilistic improvisation.
- Governed by design — policy boundaries, escalation paths, and structured outputs are embedded at the cognitive layer.
- Human-in-the-loop ready — uncertainty triggers review, not silent guesswork.
- Trace + versioning — outputs are reviewable and updates are governed through versioned changes.
- Model-agnostic — your operating model remains stable even if foundation model providers change.
- Bring your own model — choose the LLM in config and swap providers without rewriting your operating model.
- Observable behavior — see which doctrine areas were activated, where uncertainty triggered escalation, and how decisions were structured for review.
IAYS agents vs generic agents
IAYS Agents are deployments powered by your Brain (Operating Model) on the IAYS Cognitive OS.
| Generic AI Agents | IAYS Agents |
|---|---|
| Prompt-driven behavior | Decision-structured evaluation |
| Implicit decision logic | Explicit governance boundaries |
| Correlation-based responses | Logic externalized and controlled |
| Limited audit structure | Structured outputs for audit and review |
| Vendor dependency | Model-agnostic execution layer |
| Escalation by uncertainty, not policy | Escalation under defined thresholds |
Your operating model remains yours
The model may change. Your cognition stays yours. IAYS keeps your IP external to model weights so your operating logic remains portable, governable, and vendor-independent.
IAYS externalizes your operating model as structured logic. Foundation models execute tasks, but they do not absorb or internalize your proprietary evaluation rules, risk posture, or communication standards.
This protects your intellectual property while allowing you to deploy AI agents across support, pre-sales, advisory, and internal workflows — without embedding competitive logic into model weights.
Deploy agents that behave like your organization.
Governed by your operating model. Aligned with your risk posture. Designed for institutional use.
Because behavior is observable, governance is enforceable.