Deterministic decision authority for Bedrock-powered agents.
Integration Summary
Memrail adds a deterministic governance layer to your Bedrock agent workflows - without changing how you build agents on AWS.
At every decision point, Memrail selects the right action from your business rules given context. Only prescribed actions reach your production systems.
Every Bedrock agent decision produces an audit-grade trace: what was considered, what fired, what was suppressed, and why.
New governance rules start in shadow mode, observing what they would do. Promote to canary, then active - with instant rollback.
Business policies are enforced deterministically at each decision point in your Bedrock agent workflow - not probabilistically by the model.
Reference Architecture
Your Bedrock Agent → Memrail Decision Plane → Your Production Systems
Memrail sits in the execution path at each decision point in your Bedrock agent workflow. It receives context, selects the right action from policy, and produces a decision trace - without modifying your Bedrock agent configuration or model settings.
Integration Pattern
Map the decision points in your Bedrock agent workflow where consequential decisions are made - API calls, data mutations, customer communications, escalation paths.
Place lightweight Memrail hooks at each decision point. These send structured context to the Memrail decision plane at each decision point.
Supply the current state, tags, and recent events at each decision point. Memrail uses this structured context to evaluate all applicable rules.
The decision plane matches the provided context against your business rules and selects the prescribed actions - with full rationale and trace.
Your Bedrock agent proceeds with only the prescribed actions. Actions that don't match any active rule are suppressed, rerouted, or flagged for review. A complete decision trace is logged automatically.
Common Workflows
At every decision point - API calls, tool invocations, data writes - Memrail selects the right action from your business rules. Every action that reaches production has a decision trace.
Enforce data handling policies at every step. Ensure PII is handled correctly, data access follows governance rules, and processing conforms to regulatory requirements.
Multi-step Bedrock agent workflows produce complete decision traces. Reconstruct any decision chain in seconds - who authorized what, when, and why.
See It In Action
The best way to evaluate Memrail with your Bedrock agents is the 14-Day Decision Authority Pilot. We'll take your hardest Bedrock workflow, map its decision points, run a controlled comparison of current vs. governed behavior, and deliver an integration roadmap.
Questions
Memrail can be deployed entirely within your AWS infrastructure (recommended for regulated environments), as a Memrail-managed service, or in a hybrid model. Your Bedrock agents, models, and data stay where they are. Memrail adds a decision plane at your invoke points.
Memrail receives the context you provide at each decision point: state, tags, and events. It does not access your Bedrock model weights, training data, or raw customer data. It stores decision traces, rule definitions, and event logs - never model internals.
No. Memrail integrates at the application layer, not the model layer. Your Bedrock agent configuration, model selection, and prompt engineering stay exactly as they are. Memrail hooks are placed at your decision points in application code.
Memrail's decision evaluation is deterministic and runs in single-digit milliseconds. For most Bedrock agent workflows where model inference takes hundreds of milliseconds to seconds, Memrail's overhead is negligible. When deployed in-VPC, network latency is minimal.