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Build a multi-brand digital performance dashboard
Connect to ordering platforms across all six brands
App
Connect to ordering platforms across all six brands
Draft an AI model governance policy
Set standards for deploying AI across restaurant operations
Document
Set standards for deploying AI across restaurant operations
Build a Q3 technology platform review deck
Pull data from Jira and Confluence into slides
Slide Deck
Pull data from Jira and Confluence into slides
Connect to our digital ordering platforms across all six brands and build a real-time dashboard showing digital sales, app adoption rates, drive-thru speed, and platform uptime.
AI
I'll need access to your digital ordering platforms. Let me request that through a Gatekeeper.
🔒 Gatekeeper: Digital Ordering Platform API
Requesting read-only access to order volumes, digital channel mix, drive-thru metrics, and app telemetry across Arby's, Baskin-Robbins, BWW, Dunkin', Jimmy John's, and SONIC. The Gatekeeper holds the credential and logs every query.
Requesting read-only access to order volumes, digital channel mix, drive-thru metrics, and app telemetry across Arby's, Baskin-Robbins, BWW, Dunkin', Jimmy John's, and SONIC. The Gatekeeper holds the credential and logs every query.
Approved.
AI
Access granted. Pulling digital performance data across all brands now.
Executed code
const metrics = await env.DIGITAL_ORDERING.getPerformance({
brands: ["arbys","baskin","bww","dunkin","jjs","sonic"],
include: ["digital_sales","app_orders","drive_thru","uptime"]
});
const alerts = metrics.filter(
b => b.digitalPct < b.targetPct || b.driveThruAvg > b.driveThruSLA
);
app.render(BrandDashboard, { metrics, alerts });
AI
Multi-Brand Digital Performance Dashboard is live. Connected via Gatekeeper -- read-only, every query logged.
I see 2 brands below their digital adoption targets. Want me to set up Slack alerts when any brand drops below its KPI threshold?
I see 2 brands below their digital adoption targets. Want me to set up Slack alerts when any brand drops below its KPI threshold?
+
Draft an AI Model Governance Policy for Inspire. It should cover how we deploy AI/ML models across restaurant operations -- demand forecasting, dynamic pricing, recommendation engines, drive-thru voice AI. Base it on our current AI governance framework.
AI
I'll pull from your company's context library to ground this in Inspire's standards.
📚 Context Library: AI Governance
Loading Inspire's current AI governance framework (v0.9), cybersecurity policy, and technology platform architecture docs. These are curated by your CTO office and read-only to the agent.
Loading Inspire's current AI governance framework (v0.9), cybersecurity policy, and technology platform architecture docs. These are curated by your CTO office and read-only to the agent.
AI
Context loaded. I've identified 4 gaps in the current framework:
1. No classification tier for customer-facing AI (drive-thru voice, chatbots)
2. Missing approval matrix for cross-brand model deployments
3. Bias monitoring requirements not defined for pricing models
4. No rollback SLA for production AI failures
I'll address all four in the governance policy.
1. No classification tier for customer-facing AI (drive-thru voice, chatbots)
2. Missing approval matrix for cross-brand model deployments
3. Bias monitoring requirements not defined for pricing models
4. No rollback SLA for production AI failures
I'll address all four in the governance policy.
AI
AI Model Governance Policy v1.0 draft is ready. Structured with Inspire-specific procedures covering all six brands and PCI-DSS data handling requirements.
You can edit directly, export to Google Docs, or share for review. The document stays connected to the context library -- if standards change, I can flag sections that need updating.
You can edit directly, export to Google Docs, or share for review. The document stays connected to the context library -- if standards change, I can flag sections that need updating.
+
Build a Q3 technology platform review deck summarizing our shared platform unification progress, migration status across brands, and upcoming technology initiatives. Pull data from Jira and Confluence.
AI
I'll need access to your project tracking and wiki.
🔒 Gatekeeper: Jira (read-only)
Requesting access to the PLATFORM, DIGITAL, and INFRA projects. Read epics, status, and completion data only.
Requesting access to the PLATFORM, DIGITAL, and INFRA projects. Read epics, status, and completion data only.
🔒 Gatekeeper: Confluence (read-only)
Requesting access to the Technology Architecture space. Read pages only.
Requesting access to the Technology Architecture space. Read pages only.
Both approved.
AI
Executed code
const epics = await env.JIRA.getEpics({
projects: ["PLATFORM", "DIGITAL", "INFRA"],
quarter: "Q3-2026"
});
const adrs = await env.CONFLUENCE.getPages({
space: "technology-architecture",
since: "2026-07-01"
});
deck.generate(PlatformReview, { epics, adrs });
AI
Q3 Technology Platform Review deck is ready -- 4 slides from live Jira and Confluence data.
You can regenerate anytime to pick up changes, or edit individual slides. Export to Google Slides or PDF when ready to present.
You can regenerate anytime to pick up changes, or edit individual slides. Export to Google Slides or PDF when ready to present.
+
Gadget
Code
Connections
Multi-Brand Digital Performance Dashboard
$42.3M
Digital Sales Today
68%
App Order Rate
3.2 min
Avg Drive-Thru Time
99.94%
Platform Uptime
Brand Alerts
⚠️ Baskin-Robbins -- App adoption at 34%, below 45% target. Mobile ordering campaign recommended.
⚠️ Buffalo Wild Wings -- Avg drive-thru (GO) at 4.8 min, above 4.0 min SLA. Peak hour staffing alert sent.
Digital Performance by Brand
Dunkin' (14,200 locations)
82% digital
On Target
SONIC (3,400 locations)
74% digital
On Target
Jimmy John's (2,800 locations)
71% digital
On Target
Arby's (3,500 locations)
58% digital
On Target
Buffalo Wild Wings (1,400 locations)
52% digital
Monitor
Baskin-Robbins (7,800 locations)
34% digital
Below Target
Page
Source
Connections
AI Model Governance Policy v1.0
Inspire Brands -- AI Model Governance Policy
1. Purpose
This policy establishes the standards, approval processes, and monitoring requirements for deploying AI and machine learning models across Inspire Brands' restaurant operations. It applies to all six brands -- Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin', Jimmy John's, and SONIC -- and covers models used in demand forecasting, dynamic pricing, recommendation engines, drive-thru voice AI, and operational automation.
2. Scope
- All production AI/ML models deployed across brand-specific and shared platforms
- Customer-facing AI systems (drive-thru voice ordering, chatbots, recommendations) [NEW]
- Internal operations models (demand forecasting, labor scheduling, supply chain optimization)
- Third-party AI integrations and vendor-hosted models
- AI models processing PCI-DSS scoped payment or cardholder data
3. Model Classification
| Tier | Definition | Review Cycle | Approval |
|---|---|---|---|
| Critical | Customer-facing, revenue-impacting, or payment-adjacent (voice AI, dynamic pricing) | Monthly | CTO + Brand President + Legal |
| High | Multi-brand shared models (demand forecasting, labor scheduling) | Quarterly | CTO + Data Science Lead |
| Medium | Single-brand operational models (menu recommendations, inventory predictions) | Semi-annual | Brand Tech Lead + Data Science |
| Low | Internal analytics, reporting automation, non-customer-facing insights | Annual | Data Science Lead |
AI Acceleration Principle: All models must demonstrate measurable impact on one or more brand KPIs (digital sales, drive-thru speed, guest satisfaction, or operational efficiency) before production promotion. Models with cross-brand deployment must complete A/B testing on a minimum of two brands.
4. Deployment Approval Matrix
| Deployment Scope | Required Approvals | Rollback SLA |
|---|---|---|
| Single brand, non-customer-facing | Brand Tech Lead | 4 hours |
| Single brand, customer-facing | Brand President + CTO | 30 min |
| Multi-brand shared platform | CTO + affected Brand Presidents | 15 min |
| Payment/PCI-DSS adjacent | CTO + CISO + Legal | Immediate |
Slides
Source
Connections
Q3 Technology Platform Review
Integrations
Connect external services to Inspire OS. Gatekeepers govern access, scope permissions, and log every action.
Gatekeepers
Google Workspace
Gmail, Docs, Sheets, Slides, Calendar, Drive
Slack
Send messages, read channels, manage workflows
Jira
Projects, epics, issues, sprints, and boards
Confluence
Read and write wiki pages, search spaces
ServiceNow
IT tickets, HR cases, change requests, CMDB, facilities
Workday
Employee data, org charts, payroll, time off, benefits
SAP
Finance, supply chain, procurement, and inventory management
Salesforce
Franchise accounts, guest CRM, marketing campaigns
GitHub
Access repositories, create PRs, manage issues
Snowflake
Data warehouse, analytics, cross-brand reporting
Splunk / SIEM
Security events, alerts, monitoring, and correlation data
Power BI / Tableau
Dashboards, executive reporting, and data visualization
MCP Servers
Remote MCP servers available to all workspaces.
Restaurant POS API
https://pos.mcp.inspire.internal/mcp
Auto
Digital Ordering Platform
https://digital.mcp.inspire.internal/mcp
Auto
Supply Chain Management
https://supply.mcp.inspire.internal/mcp
Needs auth
Employee Directory
https://directory.mcp.inspire.internal/mcp
Auto
Cloudflare API
https://mcp.cloudflare.com/mcp
Auto
Context
Curated reference documents that ground your agent in Inspire's knowledge. Published centrally, read-only to all agents and workspaces.
company-strategy-fy2027.md
Inspire's strategic priorities, multi-brand platform vision, and key results by brand
brand-standards-guidelines.md
Brand identity, voice, and communication standards across all six brands
food-safety-standards.md
HACCP protocols, FDA compliance, quality assurance, and food safety audit procedures
technology-platform-architecture.md
Shared platform architecture, integration patterns, technology radar, and ADRs
franchise-operations-playbook.md
Franchise onboarding, performance standards, support procedures, and compliance
cybersecurity-policy.md
Security policies, PCI-DSS v4.0.1 compliance, data protection, and incident response
ai-governance-framework.md
AI/ML model deployment guidelines, ethical AI standards, and bias monitoring procedures
supply-chain-procedures.md
Logistics workflows, supplier management, distribution protocols, and commodity trading
digital-experience-standards.md
Mobile app standards, web ordering, loyalty platform specs, and guest data policies
hr-policies.md
Leave policies, performance review criteria, hiring procedures, and compensation guidelines
Skills
| Name | Description | Group | Source |
|---|---|---|---|
| meeting-prep | Scan calendar, gather context from connected systems, and generate briefing docs | General | Inspire |
| weekly-report | Compile team activity summaries from Jira, Slack, email, and calendar data | General | Inspire |
| franchise-performance | Analyze franchise performance metrics, benchmark against brand standards, identify outliers | Operations | Inspire |
| menu-optimization | Analyze menu item performance, pricing sensitivity, and recommend optimization strategies | Operations | Inspire |
| supply-chain-analysis | Generate supplier scorecards, track commodity prices, and flag procurement risks | Operations | Inspire |
| digital-experience-review | Audit mobile app and web ordering UX across brands, benchmark against competitors | Technology | Inspire |
| ai-model-deployment | Manage AI model lifecycle -- training, validation, deployment, and monitoring across brands | Technology | Inspire |
| architecture-review | Build quarterly platform review decks from Jira and Confluence data | Technology | Inspire |
| brand-campaign-brief | Research audiences, draft campaign briefs with messaging, creative direction, and channel mix | Marketing | Inspire |
| competitive-analysis | Research QSR competitors and generate comparison briefs with market positioning | Marketing | Inspire |
| food-safety-audit | Gather HACCP compliance evidence, map controls, and generate audit packages | Compliance | Inspire |
| pci-compliance | PCI-DSS v4.0.1 compliance tracking, control mapping, and remediation reporting | Security | Inspire |
| vendor-assessment | Generate vendor security questionnaires and compute risk scores against standards | Security | Inspire |
| cost-optimization | Cloud and infrastructure spend analysis, trend visualization, and optimization recommendations | Finance | Inspire |
| job-posting-draft | Draft job descriptions from role requirements, team context, and compensation guidelines | HR | Inspire |
| onboarding-guide | Generate new hire documentation from wikis, org charts, and system access procedures | HR | Inspire |