The execution model

How SACER works.

Workflow-as-orchestrator with LLM-as-capability. The flow definition is the execution plan — the model is invoked only where human-like judgment is needed.

Core
Deterministic YAML workflows
Integration
MCP-native, no re-platforming
Runtime
On-prem, closed network
Today’s agentic AI

LLM-as-orchestrator

The model is the unbounded orchestrator: one prompt in, any of many paths out. Non-determinism becomes a feature — and end-to-end testing becomes impossible.

One prompt in · any path out
SACER

Workflow-as-orchestrator

The flow definition is the execution plan. Each step is explicit, logged, and auditable; the LLM is bounded to the steps that genuinely need judgment.

Same input · same result · every time
A run, step by step

Five steps. Four are deterministic.

Select a step to see what happens there. Only one — reason — invokes the model.

SACER · execution trace workflow.yaml
→ → → →
Deterministic

Reason

Select a step above.

Why it’s safe to deploy

Deterministic by construction.

  1. The flow is the spec

    The YAML workflow defines execution. If it ran once, it runs the same way again — same input, same result, every time.

  2. Every step is auditable

    Each step is explicit and logged. You get full execution trails, role-based access, and organizational isolation.

  3. The LLM is bounded

    Intelligence is confined to the steps that need judgment. Token usage, cost, and latency stay predictable.

  4. Version it, reproduce it, prove it

    Run it on a closed network. Reproduce any decision, demonstrate compliance, and ship with confidence.

See it run on your data.

We’ll map one of your workflows to SACER and show you the execution trace.

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