What are we working on?
Read-only access to simulated portfolio milestones, service health, dependency maps, architecture decisions, and budget summaries. No Office Depot customer, employee, order, inventory, supplier, store, or production data is exposed.
Read-only access to simulated service maps, architecture decisions, portfolio milestones, cost ranges, and control requirements. Production systems and private business data are not exposed.
Read-only access to simulated use-case metadata, data classifications, evaluation summaries, and aggregate inference costs. Prompts, credentials, customer records, employee records, orders, inventory, and production systems are not exposed.
Illustrative policy trace
| Step | Enforced policy | Status |
|---|---|---|
| Request resource | Starts with no access; request is limited to Technology Portfolio + Service Management | 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 |
Read-only access to simulated portfolio milestones, service health, dependency maps, architecture decisions, and budget summaries. No Office Depot customer, employee, order, inventory, supplier, store, or production data is exposed.
Resource boundaries
Office Depot - 90-Day Connected Commerce Modernization Brief
Purpose
Create a resilient, data-grounded technology operating model that connects digital shopping, stores, pickup and delivery, print services, and technology support without weakening access controls or local accountability.
Jobs to be done
| Priority | Journey moment | Required review |
|---|---|---|
| Reliable digital and store journey | Discover, compare, purchase, pick up, receive, and support | Business + service owner review |
| Trusted product, availability, and order data | Choose, promise, fulfill, communicate, and reorder | Architecture + data governance review |
| Scalable print and technology-service workflows | Prepare, submit, hand off, deliver, and support | Security + operations + finance 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.
Delivery sequence
Baseline: Map priority journeys, accountable owners, service dependencies, data boundaries, costs, and current measures.
Pilot: Select one measurable job, bind only required resources, define evaluations, and preserve human approval for consequential actions.
Scale: Turn repeatable steps into code, publish reusable context and skills, and review reliability, adoption, value, and spend.
Control alignment
Consumer privacy, payment security, accessibility, architecture, financial controls, data provenance, recovery testing, least privilege, and human accountability remain mandatory design inputs.
Workspace sources
Turn public customer journeys into a governed plan for resilient platforms, trusted data, and measurable service outcomes.
Read-only access to simulated service maps, architecture decisions, portfolio milestones, cost ranges, and control requirements. Production systems and private business data are not exposed.
Resource boundaries
Workspace sources
Prioritize AI-enabled work against value, data readiness, evaluation, cost, access, and human-oversight gates.
Read-only access to simulated use-case metadata, data classifications, evaluation summaries, and aggregate inference costs. Prompts, credentials, customer records, employee records, orders, inventory, and production systems are not exposed.
Resource boundaries
Integrations
Organization-wide connections for Office Depot OS. Gatekeepers hold credentials, scope resources, and log each action.
Illustrative remote services available to authorized workspaces.
Organization Context
Shared, curated knowledge that grounds every Office Depot OS workspace. Context is versioned and read-only to agents.
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 | Prototype library |
| weekly-operating-review | Create a cross-functional summary with decisions, owners, and open risks | General | Prototype library |
| incident-response | Assemble evidence, draft updates, and preserve human approval for containment | Security | Prototype library |
| vendor-risk-review | Compare due-diligence evidence with security and privacy standards | Security | Prototype library |
| control-evidence-pack | Map authorized evidence to control requirements and identify gaps | Security | Prototype library |
| architecture-review | Review a proposal against architecture principles and decision criteria | IT & Architecture | Prototype library |
| change-impact | Map dependencies, affected services, stakeholders, and rollback requirements | IT & Architecture | Prototype library |
| service-health-review | Summarize service levels, incidents, changes, and capacity risks | Operations | Prototype library |
| runbook-builder | Turn a procedure into a deterministic workflow with approval gates | Operations | Prototype library |
| ai-model-review | Summarize ownership, evaluations, drift, risk tier, and release readiness | Data & AI | Prototype library |
| data-quality-report | Assess freshness, completeness, lineage, and policy compliance | Data & AI | Prototype library |
| budget-variance | Compare actuals with plan and draft a finance-reviewed variance narrative | Finance | Prototype library |
| procurement-brief | Summarize requirements, alternatives, risk, and approval status | Finance | Prototype library |
| job-description | Draft an accessible role description from approved job architecture | HR | Prototype library |
| onboarding-plan | Create a role-based onboarding plan without expanding system permissions | HR | Prototype library |
| contract-intake | Extract terms, route issues, and prepare a legal review checklist | Legal | Prototype library |
| privacy-assessment | Map a proposed workflow to data categories and privacy obligations | Legal | Prototype library |
| account-brief | Create a customer briefing from authorized CRM and public information | Sales | Prototype library |
| proposal-draft | Build a first draft using approved claims, pricing, and brand context | Sales | Prototype library |
| executive-update | Turn project evidence into a concise decision-oriented update | General | Prototype library |
Profile
Illustrative account information for this public prototype.
AI Gateway
Illustrative scenario data for simulated model routes, controls, and usage — one console.
Illustrative Model Traffic
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 | $490 | 40 ms |
Spend vs. Budget
9 days remainingIllustrative Usage by Workspace / Team
342M tokens totalGovernance
Illustrative guardrail settings modeled with Gatekeepers + AI Gateway, 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.
PII redaction
Strip sensitive fields from prompts before they leave.
Prompt / response logging
Full request logs retained for audit & review.
Rate limits
Per-team request ceilings to protect budgets.
Raise Data & AI cap to $6,000
Simulated change queued by an agent — needs a human sign-off.
Requires approval