reDB TraceMem - Decision Memory for Agentic AI

NewSystem of Record for AI Decisions

AI That Can Act
Must Be Accountable.

TraceMem makes AI decisions enforceable, reviewable, and tamper-evident - so enterprises can scale AI into high-stakes workflows without expanding risk.

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TraceMem Is the Enforcement Layer for Enterprise AI

TraceMem sits directly in the execution path between AI agents and enterprise systems.

AI→TraceMem→Data & Actions

With TraceMem implemented:

AI agents have no direct credentials to databases or APIs
AI agents cannot escalate privileges
AI agents cannot modify their own access scope
AI agents cannot perform write operations without policy evaluation
AI agents cannot access sensitive data without providing a reason

AI is architecturally incapable of bypassing TraceMem.

Every access request, every action, every decision passes through a decision envelope.

Prevent Bad Decisions. Don't Just Explain Them.

Observability platforms explain what happened.

TraceMem decides what is allowed to happen.

Before any write operation or action:

No action proceeds without authorization.

TraceMem enforces governance before impact.

Request

The agent submits a reason-bound request.

Evaluate

Policies are evaluated in real time.

Route

If required, an exception request is routed to a human approver (Slack, Teams, ERP, etc.).

Enforce

If denied, execution does not occur.

Every Decision Becomes Evidence

Every evaluated decision is stored in a tamper-evident system of record.

Each trace includes:

What was requested
Why it was requested
Which policies were evaluated
The outcome (allowed, denied, exception)
Who approved (if applicable)
The full reasoning context

Decision history is cryptographically chained to prevent alteration.

This creates:

Audit-ready evidence
Reconstructable reasoning
Compliance alignment for emerging AI regulation
Institutional memory for future decisions

If a decision is later challenged, the reasoning already exists.

No reconstruction required.

AI Does Not Touch Enterprise Systems Directly

When TraceMem is implemented:

AI agents lack direct database credentials.

AI agents lack direct system access libraries.

AI agents cannot grant themselves new permissions.

All privileges remain outside the agent boundary.

Access is policy-gated.

Authority is separated.

Risk surface is reduced.

This is not monitoring.

This is architectural containment.

Scale AI Without Scaling Risk

TraceMem enables AI platform teams to:

Introduce agents into high-stakes workflows
Gate high-risk decisions automatically
Measure % of decisions requiring exception
Measure approval turnaround time
Identify where guardrails are most needed

Enterprises consistently discover that more decisions require governance than initially anticipated.

TraceMem makes those patterns visible — and enforceable.

AI adoption accelerates when risk is structurally contained.

Enforce Policy Before Impact

TraceMem allows security and risk teams to:

Define decision policies
Prevent privilege overreach
Require inline human approvals for critical actions
Maintain a tamper-evident record of execution
Reduce audit reconstruction effort

Untraceable AI decisions are unmanaged risk.

TraceMem ensures every action is governed at the moment of commitment.

Today's Decisions Become Tomorrow's Precedent

Beyond risk control, TraceMem compounds value.

Every evaluated decision becomes part of a growing decision corpus.

Over time, this enables:

Precedent-aware decision-makingPolicy refinement based on real-world behaviorCross-agent consistencyInstitutional decision memory

Enterprises will operate a system of record for AI decisions.

The longer decisions occur without it, the more precedent is permanently lost.

Deploy Where You Operate

Self-Hosted

Run in your private cloud or on-premise infrastructure.

Regulated Environments

Deploy fully inside regulated enterprise environments.

Cloud

Start with a managed cloud version for faster adoption.

TraceMem is architected to operate within your data residency and jurisdictional requirements.
All decision traces, policies, and enforcement logic remain in the environment you control.

TraceMem integrates with:

Prompt-based LLM agentsPython and TypeScript agentsAgent orchestration platformsExisting enterprise workflows

No matter the architecture, enforcement remains consistent.

AI Decisions Will Be Traced.

Every enterprise will eventually operate a system of record for AI decisions.

The only question is whether it is implemented before or after a governance failure.

TraceMem makes AI accountable.

Request an Enterprise Demo Start in the Cloud