Buyer-ready AI governance

Find hidden failure points in your AI agent workflow.

AetherMoore packages SCBE-AETHERMOORE into practical services for teams using AI agents, tool-calling workflows, retrieval systems, or multi-agent automation. The goal is not a giant compliance program. The goal is to find the weak joints, fix the ones that matter, and leave you with evidence you can reuse.

Start with the $99 Workflow Snapshot Cash App: $IzzyDDavis7 Compare the $500 Snapshot Send a project brief Compare the offers
Live offersSnapshot, service credits, toolkit, training vault, and supporter lanes are wired in the public offer registry.
Public codeGitHub, npm/PyPI, and documented harnesses make the work inspectable.
Reusable evidenceReports focus on risk, routing, state, logging, recovery, and receipt gaps.
Federal postureCAGE 1EXD5 and UEI J4NXHM6N5F59 support subcontract and research conversations.
What you can buy

Seven concrete entry points.

Start small. The first paid deliverable should be useful even if nothing else is bought afterward.

AI Agent Workflow Snapshot

$99 starter

One concise first read for an agent workflow, prompt chain, repo link, MCP stack, or automation flow.

  • Drift and tool-path risks
  • Observability and recovery gaps
  • Three prioritized fixes

Governance Snapshot

$500 fixed scope

One AI workflow reviewed in more depth for drift, leakage, routing risk, logging gaps, and unsafe tool paths.

  • 2-page findings memo
  • Three prioritized fixes
  • Evidence checklist

Agent Drift Evaluation

quoted after brief

Stateful evaluation for agents that lose task history, mutate instructions, or recover poorly from failures.

  • Before/after task pack
  • Failure-mode breakdown
  • Repair recommendations

Shopify Store Ops Snapshot

$99 starter

One ecommerce setup read using the live Shopify Command Center: payments, shipping, subscriptions, bundles, pricing, marketing, analytics, and next actions.

  • Live dashboard demo
  • Store-ops checklist
  • Three launch fixes

Multi-Agent Containment

snapshot or custom

Flat-queue versus bounded-workcell simulation for teams routing multiple agents through shared state.

  • Failure spread metrics
  • Trace cost metrics
  • Receipt schema suggestion

Prompt Injection Review

snapshot or custom

Boundary review for exposed tools, retrieval, MCP connectors, API routes, and dataset ingest.

  • Finding list
  • Proof and severity
  • Regression test ideas

Governance Heartbeat

$99/month planned

A lightweight monthly scan for one workflow after the first Snapshot has a baseline.

  • Delta report
  • Risk/change summary
  • Recommended action list
Delivery path

How the work turns into evidence.

1. Intake

One workflow, tool path, or agent problem. No secrets required.

2. Run

SCBE checks routing, state, prompt/tool boundaries, and recovery behavior.

3. Report

You receive a short memo with evidence, findings, and next actions.

4. Continue

Use the fixes, buy Heartbeat, or scope a custom integration.

Procurement translation

Same system, buyer-readable language.

Internal SCBE terms stay useful, but buyers need the operational translation first.

SCBE term Buyer translation
Harmonic governance Adaptive risk scoring for AI workflows
Sacred Tongues / routing lanes Domain-specialized orchestration and evidence lanes
GeoSeal Trust-boundary receipt and verification layer
Aether-Lattice workcells Bounded agent execution and failure containment
Spinal ledger Append-only operational trace
Agent bus Secure orchestration bus for agents, tools, and review gates
Boundaries

What this claims, and what it does not.

  • SCBE provides governance and traceability around AI agents. It is not a replacement foundation model.
  • When we say a gate blocks or denies something, that means a configured policy, threshold, or regression harness rejected that action in a named integration. It does not mean every future model output in every deployment is impossible.
  • Reports are technical risk reads and implementation guidance. They are not legal compliance guarantees.
  • Simulations are workflow evidence. They are not hardware guarantees or claims of infinite scalability.
  • Paid work starts with fixed scope because useful action beats vague enterprise theater.
Start with the Snapshot AI agent map Read the packaging sheet