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PalmerAI

Gateway Aligned

Audit-first AI governance for real-world operations.

A secure gateway that enforces policy, approval, and audit evidence for every AI action -- before it runs.

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Approval gates Built-in
Audit trail Always-on
Pilot posture Ready

Live Control Plane

Operator Console

Human approval stays in the loop with redacted prompts and risk triggers.

Compliance Gateway

Service-key auth, denylist enforcement, and real-time policy snapshots.

Proof Pack

Deploy logs, version reconciliation, and immutable evidence bundles.

No prompt storageDesigned to keep raw prompts out of storage by default.
Redaction + approvalsOperator approvals for high-risk / exceptions.
Immutable-ish auditHashes + version hooks for evidence bundles.
Cloudflare WorkersBuilt for edge deployment and isolation.
EU-grade postureGovernance-first design language and controls.

Platform

Zero-trust by default

Every write action is authenticated, rate-limited, and audited before it runs.

Approval-first execution

Human review is required for high-risk operations and policy exceptions.

Live observability

Real-time telemetry, drift detection, and compliance snapshots stay visible.

Sandbox-first changes

Dry-run builds and diff manifests show impact before deployment.

Operator-aligned UX

Interfaces mirror the PalmerAI gateway console for continuity and trust.

Lean + scalable

Minimal components, maximum auditability, ready for enterprise scale.

How it works (in 90 seconds)

  1. Send request to Gateway (standard endpoint / client integration).
  2. Policy evaluation + risk classification (deny/safe/approval_required).
  3. Approval required? -> operator decision with redacted context.
  4. Execute / block based on decision and policy snapshot.
  5. Audit log + Proof Pack bundle (hashes, versions, timestamps).
Built to be deployable in a pilot, but structured for governance-grade operation from day one.
Request Client -> Gateway
->
Policy Evaluate + risk
->
Approval Operator gate
->
Execute Allow / block
->
Proof Audit + bundle
This keeps high-risk automation reviewable and evidence-backed -- without slowing down safe paths.

Proof

Proof Packs that survive scrutiny.

A compact, redacted evidence bundle with request id, decision, policy version hash, timestamps, and checksum hooks. Enough to explain and verify what happened -- without leaking raw prompt content.

Security

Data minimization Default posture avoids raw prompt storage; focus is on decisions + evidence metadata.
Operator controls High-risk actions require explicit approval -- with audit context and timestamps.
Governance-ready logging Policy versioning + hash hooks support incident reviews and compliance reporting.
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