Decision Infrastructure

The decision plane for consequential execution.

Deterministic decision authority at every decision point. Understand, control, and trace every decision.

Govern AI agents, robotics, humans and intelligent systems with deterministic rules, safe rollout, and decision traces.



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Decision authority interface
Decision trace audit log

The Problem

Consequential decisions can't rely on implicit logic or black boxes.

As predictive systems determine high-stakes outcomes, enterprises need explicit authority over the decision logic that shapes them.

The gap isn't intelligence — it's authority. Decision logic lives inside models and code, without a formal layer to govern it, make it legible, or evolve it safely.

Tree root network

Decision Infrastructure

Not a dashboard.
Not a monitor.
A decision plane.

Memrail sits in the execution path between intent and action.
Dashboards observe. Monitors alert. Memrail resolves decisions in real time.

How Memrail Works

A decision plane between intent and action

Memrail sits in the execution path. Context is evaluated against your rules to deterministically resolve the outcome at each decision point.

Systems of Record, Humans,
Agents, LLMs, Sensor Data
& Models
Provide context
Memrail Decision Plane Inspectable · Deterministic · Safe to Evolve
Deliberate Decisions fully traced

Evaluates

Context assessed against your business rules at every decision point.

Determines

The right action is selected based on context, rules, and policy — before execution begins.

Traces

Every decision — including what was considered and what influenced it — is fully reconstructible.

Platform

Everything you need to govern decisions of consequence

Decision authority interface

Decision Authority

Every action evaluated against your business rules at every decision point. See exactly why every action was taken.

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Reachability report

Integration Completeness

Know which rules can actually fire, which actions can actually execute, and where the gaps are.

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The Difference

Decisions everyone can see, shape, and trust

Without Memrail
With Memrail
Who owns consequential decisions
Engineering team, by default
Every stakeholder with a stake in the outcome
Decision visibility
Locked in logs, models, and code
Legible to ops, compliance, and leadership
Changing a business rule
File an engineering ticket and wait
Express it as a rule — no code deploy required
When problems surface
After something breaks in production
Before execution, with full context and rationale
Accountability
“Ask engineering”
Every decision has a traceable, auditable rationale

Safe Rollout

Ship changes without breaking production

Every rule goes through a structured promotion pipeline. New rules start silent, observing what they would do without executing. Then they execute for a small percentage of traffic. Only after validation do they go fully live.

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Rule lifecycle

Decision Traces

Reconstruct any decision in seconds

Every decision produces a complete trace: what context influenced the decision, what rules were considered, which matched, which were suppressed and why, what action was prescribed, and what the result was. Deterministic replay guaranteed.

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Decision trace

Adoption

Adopt incrementally. Govern before you automate.

ObserveAdoption PathAutomate

Phase 1

Start with Events

Instrument key events for immediate observability and audit trail. No rules required — just structured facts.

Phase 2

Make Decision Logic Explicit

Create rules that make decision logic policy-bound. Shadow mode validates safely.

Phase 3

Enforce at Runtime

Apply rules to gate recommendations, escalate decisions, or execute actions — with safety controls and rollback.

Built for Enterprise

When systems shape high-stakes outcomes, your rules must be binding.

Every industry has rules. Whether decisions originate from an LLM, a robotic planner, or a deal intelligence engine, Memrail enforces them before execution.

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Solutions

Governance patterns for consequential decisions

Capability patterns that make high-stakes decision systems legible and governable

Every step governed. Every handoff traced.

Multi-step workflows with deterministic checkpoints at every decision point.

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Agents that know when to escalate — every time.

Human-facing agents with guaranteed escalation paths and context-aware responses.

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Every decision reconstructible. Every action defensible.

Audit-grade decision logs with deterministic replay for regulated environments.

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Not what's similar. What's appropriate.

Governed retrieval that surfaces content based on policy, not just semantic similarity.

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Multiple sources. One trusted answer.

Resolve conflicts, track provenance, and maintain temporal validity across data sources.

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Not sure which pattern fits?

Start with the 14-Day Pilot — we'll map your workflow to the right approach.

Start a Pilot

See results in 14 days

The 14-Day Decision Authority Pilot: decision topology, domain analysis, controlled comparison, and an integration roadmap on your hardest workflow.

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Questions

Frequently asked

How is Memrail different from agent evaluation tools?

Evaluation tools score model outputs after the fact. Memrail resolves decisions before actions reach production. It's the difference between reviewing a test and determining what should happen. Memrail is runtime decision infrastructure — it sits in the execution path and makes binding decisions legible.

Does Memrail replace my LLM or agent framework?

No. Memrail is framework-agnostic. It works alongside your existing LLMs, agents, and orchestration. Your agents propose actions; Memrail determines what should happen. It adds a decision layer without replacing anything in your stack.

What does the 14-Day Pilot include?

A decision topology map, domain analysis, controlled comparison of current vs. governed behavior, sample decision traces, and an integration roadmap.

How does Memrail handle deployment and data?

Memrail supports customer cloud (recommended for regulated environments), Memrail-managed, and hybrid deployments. Your data can stay entirely within your infrastructure. We store events, decision traces, and rule definitions — never model weights or raw customer data.