Requests
128,400
AutoZone OS
What are we working on?
Build governed apps, documents, and workflows with your organization's context.
Starter workspaces
Fitment & FulfillmentExplore a synthetic journey from parts fitment and local availability to a human-reviewed store-fulfillment handoff.
Live App
Connected Store & Digital FulfillmentDraft an illustrative target state connecting vehicle context, fitment, local availability, digital purchasing, and store fulfillment.
Document
Responsible AI Candidate ReviewCompare illustrative fitment, availability, and fulfillment-assistance candidates under quality, safety, access, cost, and human-oversight gates.
Slide Deck
Illustrative prototype. Uses public company context and simulated data; no connection to AutoZone systems.
Build an illustrative parts-fitment and fulfillment app using only synthetic vehicle, catalog, availability, and order scenarios. Surface fitment conflicts, local availability, and store-fulfillment exceptions for human review.
AI
I start with no access. I'll request only the evidence needed for this workspace.
Gatekeeper: Synthetic Fitment + Fulfillment
Read-only access to synthetic vehicle, catalog, local-availability, order, and store-fulfillment resources. No AutoZone system or record is connected.
Read-only access to synthetic vehicle, catalog, local-availability, order, and store-fulfillment resources. No AutoZone system or record is connected.
Approve read-only access.
AI
Executed deterministic query
const fitment = await env.SYNTHETIC_FITMENT.check({
scope: "vehicle-and-part"
});
const availability = await env.SYNTHETIC_AVAILABILITY.list({
market: "sample", channel: "store-and-digital"
});
const exceptions = await env.SYNTHETIC_FULFILLMENT.listExceptions();
app.render(FitmentFulfillment, { fitment, availability, exceptions });
The illustrative view is ready. Fitment overrides, availability promises, substitutions, fulfillment changes, and customer messages remain human-approved.Create a connected store and digital fulfillment brief from public customer touchpoints and synthetic scenarios. Cover vehicle context, fitment, local availability, purchase handoff, store fulfillment, and exception communication.
AI
I'll use curated company context and request only the resources needed for this workspace.
Gatekeeper: Synthetic Service Portfolio
Read-only access to simulated capability, dependency, service-health, and portfolio metadata. No AutoZone production systems, customer data, inventory, orders, or employee records are represented.
Read-only access to simulated capability, dependency, service-health, and portfolio metadata. No AutoZone production systems, customer data, inventory, orders, or employee records are represented.
AI
The brief maps public touchpoints to proposed capabilities, review owners, and synthetic evaluation criteria without inferring a current AutoZone program or architecture.
Create a responsible AI candidate deck for grounded parts-fitment assistance, local-availability explanation, and store-fulfillment exception summarization. Use synthetic evaluations and require human approval for consequential outputs.
AI
I'll use curated company context and request only the resources needed for this workspace.
Gatekeeper: Synthetic Model Registry + AI Gateway
Read-only access to simulated candidate metadata, synthetic evaluation summaries, and illustrative cost scenarios. No AutoZone prompts, models, systems, customer data, vehicle data, inventory, or orders are exposed.
Read-only access to simulated candidate metadata, synthetic evaluation summaries, and illustrative cost scenarios. No AutoZone prompts, models, systems, customer data, vehicle data, inventory, or orders are exposed.
AI
Executed deterministic query
const candidates = await env.SYNTHETIC_MODEL_REGISTRY.list({
domain: "automotive-parts",
include: ["proposed-owner", "evals", "risk-tier"]
});
const costs = await env.SYNTHETIC_AI_GATEWAY.aggregate({ by: "candidate" });
deck.render(CandidateReview, { candidates, costs });
The candidate review is ready. AI may draft or explain; each human owner retains fitment, availability-promise, fulfillment, and customer-communication decisions.Fitment & Fulfillment
Illustrative data. Every value and event is synthetic. This view neither connects to nor describes AutoZone systems, stores, inventory, orders, architecture, initiatives, or performance.
96%
Synthetic fitment coverage
8
Synthetic stock exceptions
6
Synthetic store handoffs
3
Illustrative approvals
Attention queue
Review: A synthetic fitment conflict needs specialist review before any availability promise.
Monitor: Synthetic stock freshness needs human review before the illustrative store handoff.
Synthetic scenario readiness
Fitment evidence
96%
Healthy
Local availability
82%
Monitor
Fulfillment handoff
70%
Review
Policy follows the data. Sharing this app re-checks the viewer against every observed resource.
Illustrative policy trace
| Step | Enforced policy | Status |
|---|---|---|
| Request resource | Starts with no access; request is limited to Synthetic Fitment + Fulfillment | Approved read-only |
| Run deterministic query | Typed capability; credential remains isolated | Logged |
| Render app | Observed resources stay attached to the output | Bound |
| Share | Viewer permissions are checked at open time | Human controlled |
Gatekeeper: Synthetic Fitment + Fulfillment
Read-only access to synthetic vehicle, catalog, local-availability, order, and store-fulfillment resources. No AutoZone system or record is connected.
Read-only access to synthetic vehicle, catalog, local-availability, order, and store-fulfillment resources. No AutoZone system or record is connected.
Resource boundaries
No access by defaultThe workspace requests only the capability needed for this job.
Credential isolationGenerated code receives a typed binding, never an API key.
Human-owned actionsExternal, destructive, or consequential actions remain approval-gated.
Connected Store & Digital Fulfillment
Illustrative planning artifact. Illustrative planning based only on AutoZone's public channels and services; not a statement of AutoZone architecture, initiatives, roadmaps, or performance.
AutoZone - Connected Store & Digital Fulfillment Brief
Purpose
Define a testable journey from vehicle and job context through parts fitment, local availability, store or digital handoff, and fulfillment while keeping promises and exceptions human-owned.
Jobs to be done
| Priority | Journey moment | Required review |
|---|---|---|
| Fitment context | Identify vehicle and compatible parts | Product + safety review |
| Availability view | Compare synthetic nearby options | Data + operations review |
| Fulfillment handoff | Choose and complete fulfillment | Service + privacy review |
Operating principles
- Start with a measurable job to be done, not a new tool.
- Use curated company context before model knowledge.
- The human owner remains accountable for every output.
- An agent never receives more permission than the person using it.
Gatekeepers hold credentials, scope every resource, and preserve the observation trail when work is shared.
Delivery sequence
Days 1-30: Map public customer promises and define hypothetical capability, ownership, and data boundaries.
Days 31-60: Prototype one read-only path using synthetic fitment, availability, and fulfillment records.
Days 61-90: Evaluate synthetic scenario quality, freshness, handoffs, customer effort, and control behavior.
Control alignment
Consumer privacy, payment security, vehicle-data minimization, product safety, accessibility, inventory freshness, least privilege, and human approval are mandatory review inputs.
Public sources only. These links informed the illustrative workspace; no company systems or private data are connected.
Workspace sources
Draft an illustrative target state connecting vehicle context, fitment, local availability, digital purchasing, and store fulfillment.
about.autozone.comabout.autozone.com/about-autozone/overviewPublic contextabout.autozone.comabout.autozone.com/about-autozone/company-culture/overviewPublic contextabout.autozone.comabout.autozone.com/about-autozone/company-culture/our-storesPublic contextabout.autozone.comabout.autozone.com/investor-relations/financial-informationPublic context
Gatekeeper: Synthetic Service Portfolio
Read-only access to simulated capability, dependency, service-health, and portfolio metadata. No AutoZone production systems, customer data, inventory, orders, or employee records are represented.
Read-only access to simulated capability, dependency, service-health, and portfolio metadata. No AutoZone production systems, customer data, inventory, orders, or employee records are represented.
Resource boundaries
No access by defaultThe workspace requests only the capability needed for this job.
Credential isolationGenerated code receives a typed binding, never an API key.
Human-owned actionsExternal, destructive, or consequential actions remain approval-gated.
Responsible AI Candidate Review
Public sources only. These links informed the illustrative workspace; no company systems or private data are connected.
Workspace sources
Compare illustrative fitment, availability, and fulfillment-assistance candidates under quality, safety, access, cost, and human-oversight gates.
about.autozone.comabout.autozone.com/about-autozone/overviewPublic contextabout.autozone.comabout.autozone.com/about-autozone/company-culture/overviewPublic contextabout.autozone.comabout.autozone.com/about-autozone/company-culture/our-storesPublic contextabout.autozone.comabout.autozone.com/investor-relations/financial-informationPublic context
Gatekeeper: Synthetic Model Registry + AI Gateway
Read-only access to simulated candidate metadata, synthetic evaluation summaries, and illustrative cost scenarios. No AutoZone prompts, models, systems, customer data, vehicle data, inventory, or orders are exposed.
Read-only access to simulated candidate metadata, synthetic evaluation summaries, and illustrative cost scenarios. No AutoZone prompts, models, systems, customer data, vehicle data, inventory, or orders are exposed.
Resource boundaries
No access by defaultThe workspace requests only the capability needed for this job.
Credential isolationGenerated code receives a typed binding, never an API key.
Human-owned actionsExternal, destructive, or consequential actions remain approval-gated.
Integrations
Organization-wide connections for AutoZone OS. Gatekeepers hold credentials, scope resources, and log each action.
Prototype catalog. Connections and authorization states are simulated.
Gatekeepers
Productivity suite
Mail, calendar, documents, spreadsheets, and files
Collaboration
Chat, channels, meetings, and workflow notifications
Project tracking
Programs, epics, issues, sprints, and delivery status
Knowledge base
Policies, procedures, standards, and team documentation
Service management
IT tickets, incidents, change requests, and asset data
HRIS
Employee directory, organization, benefits, and lifecycle workflows
ERP & procurement
Finance, planning, purchasing, supply chain, and billing
CRM
Customer, account, partner, and service relationship data
Code platform
Repositories, reviews, issues, and engineering standards
Data platform
Governed warehouse, catalog, analytics, and reporting
Security operations
Alerts, cases, exposure, audit, and control evidence
Business intelligence
Dashboards, semantic models, and executive reporting
MCP Server Portals
Illustrative remote services available to authorized workspaces.
Security Operations
https://security.mcp.demo.example/mcp
Auto
Enterprise Data Catalog
https://data.mcp.demo.example/mcp
Needs auth
Finance & Procurement
https://finance.mcp.demo.example/mcp
Auto
People Directory
https://people.mcp.demo.example/mcp
Needs auth
Cloudflare API
https://cloudflare.mcp.demo.example/mcp
Auto
Organization Context
Shared, curated knowledge that grounds every AutoZone OS workspace. Context is versioned and read-only to agents.
Public operating context: autozone.com · Internal-looking documents below are illustrative.
company-strategy.md
Mission, operating model, annual priorities, and outcome definitions
brand-and-communications.md
Terminology, voice, accessibility, and approved communication patterns
security-standards.md
Identity, data protection, secure development, and incident requirements
responsible-ai-standard.md
AI risk tiers, evaluations, human oversight, and acceptable use
data-classification.md
Data categories, handling rules, retention, and sharing restrictions
architecture-principles.md
Technology standards, decision records, review criteria, and ownership
vendor-risk.md
Due diligence, contract controls, monitoring, and exit requirements
customer-experience.md
Journey definitions, service standards, and quality measures
operations-playbook.md
Service ownership, runbooks, escalation, continuity, and recovery
finance-controls.md
Planning, purchasing, expense, audit, and reporting procedures
people-policies.md
Hiring, onboarding, performance, leave, and workplace guidance
legal-and-compliance.md
Review paths, records, privacy, accessibility, and regulatory obligations
Skills
Reusable workflows for every function. The human requester owns the result.
| Name | Description | Group | Source |
|---|---|---|---|
| meeting-prep | Build an agenda and briefing from authorized calendar, CRM, and document context | General | Shared library |
| weekly-operating-review | Create a cross-functional summary with decisions, owners, and open risks | General | Shared library |
| incident-response | Assemble evidence, draft updates, and preserve human approval for containment | Security | Shared library |
| vendor-risk-review | Compare due-diligence evidence with security and privacy standards | Security | Shared library |
| control-evidence-pack | Map authorized evidence to control requirements and identify gaps | Security | Shared library |
| architecture-review | Review a proposal against architecture principles and decision criteria | IT & Architecture | Shared library |
| change-impact | Map dependencies, affected services, stakeholders, and rollback requirements | IT & Architecture | Shared library |
| service-health-review | Summarize service levels, incidents, changes, and capacity risks | Operations | Shared library |
| runbook-builder | Turn a procedure into a deterministic workflow with approval gates | Operations | Shared library |
| ai-model-review | Summarize ownership, evaluations, drift, risk tier, and release readiness | Data & AI | Shared library |
| data-quality-report | Assess freshness, completeness, lineage, and policy compliance | Data & AI | Shared library |
| budget-variance | Compare actuals with plan and draft a finance-reviewed variance narrative | Finance | Shared library |
| procurement-brief | Summarize requirements, alternatives, risk, and approval status | Finance | Shared library |
| job-description | Draft an accessible role description from approved job architecture | HR | Shared library |
| onboarding-plan | Create a role-based onboarding plan without expanding system permissions | HR | Shared library |
| contract-intake | Extract terms, route issues, and prepare a legal review checklist | Legal | Shared library |
| privacy-assessment | Map a proposed workflow to data categories and privacy obligations | Legal | Shared library |
| account-brief | Create a customer briefing from authorized CRM and public information | Sales | Shared library |
| proposal-draft | Build a first draft using approved claims, pricing, and brand context | Sales | Shared library |
| executive-update | Turn project evidence into a concise decision-oriented update | General | Shared library |
Profile
Illustrative account information for this public prototype.
Account
Demo User
No personal information is stored
Display name
Demo User
User ID
demo.user@example.com
AI Gateway
Illustrative demo data. Visibility and controls across every AI provider AutoZone uses — one console.
Tokens
342M
Est. spend
$9,120
Cache-hit
27%
Error rate
0.6%
p50 latency
480 ms
Models in Use
This month| Model | Route | Tokens | Spend | Share | p50 latency |
|---|---|---|---|---|---|
| Llama 3.3 70B | Workers AI | 156M | $2,140 | 310 ms | |
| Claude | via AI Gateway | 98M | $3,980 | 720 ms | |
| GPT-4o | via AI Gateway | 61M | $2,510 | 640 ms | |
| Workers AI embeddings (bge) | Workers AI | 27M | $190 | 40 ms |
Spend vs. Budget
9 days remaining$9,120spent of $12,000 cap
76%
On track · ~$2,880 left with 9 days
Top Users
Demo User 0142M tok $1,180
Demo User 0231M tok $960
Demo User 0328M tok $840
Demo User 0422M tok $610
Usage by Workspace / Team
342M tokens totalAI Enablement
121M tokens · $3,240
Platform Engineering
89M tokens · $2,460
Customer Experience
62M tokens · $1,510
Enterprise Operations
41M tokens · $1,020
Security & Compliance
29M tokens · $890
Governance
Guardrails enforced by Gatekeepers + AI Gateway, with resource-scoped access, audit trails, and human approval.
Per-team allowed models
Restrict which providers each workspace can call.
Monthly spend caps
Hard limits per team; agents stop before overrun.
Data & AI $4,000Platform $3,000
PII redaction
Strip sensitive fields from prompts before they leave.
Enabled
Prompt / response logging
Full request logs retained for audit & review.
Enabled · 90-day retention
Rate limits
Per-team request ceilings to protect budgets.
600 req / min|burst 1,000
Raise Data & AI cap to $6,000
Change queued by an agent — needs a human sign-off.
Requires approval