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📊
Build a multi-brand digital performance dashboard
Connect to ordering platforms across all six brands
App
📄
Draft an AI model governance policy
Set standards for deploying AI across restaurant operations
Document
📊
Build a Q3 technology platform review deck
Pull data from Jira and Confluence into slides
Slide Deck
Multi-Brand Digital Performance Dashboard
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.
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?
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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.
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.
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.
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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.
🔒 Gatekeeper: Confluence (read-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.
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Gadget
Code
Connections
Multi-Brand Digital Performance Dashboard
Live App
$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
Document

Inspire Brands -- AI Model Governance Policy

Version 1.0 · Draft · August 2026 · Classification: Internal · Owner: Office of the CTO & AI Acceleration

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

TierDefinitionReview CycleApproval
CriticalCustomer-facing, revenue-impacting, or payment-adjacent (voice AI, dynamic pricing)MonthlyCTO + Brand President + Legal
HighMulti-brand shared models (demand forecasting, labor scheduling)QuarterlyCTO + Data Science Lead
MediumSingle-brand operational models (menu recommendations, inventory predictions)Semi-annualBrand Tech Lead + Data Science
LowInternal analytics, reporting automation, non-customer-facing insightsAnnualData 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 ScopeRequired ApprovalsRollback SLA
Single brand, non-customer-facingBrand Tech Lead4 hours
Single brand, customer-facingBrand President + CTO30 min
Multi-brand shared platformCTO + affected Brand Presidents15 min
Payment/PCI-DSS adjacentCTO + CISO + LegalImmediate
Slides
Source
Connections
Q3 Technology Platform Review
Slide Deck
Slide 1 of 4

Q3 2026 Technology Platform Review

Office of the CTO & AI Acceleration · Inspire Brands · August 18, 2026

Slide 2 of 4

Platform Unification Initiatives -- Q3 Status

InitiativeOwnerStatus%
Unified POS MigrationR. PatelIn Progress72%
Mobile App ConsolidationS. KimIn Progress58%
Data Lake UnificationM. TorresComplete100%
Zero Trust Network RolloutA. GuptaIn Progress65%
AI/ML Platform LaunchJ. ChenComplete100%

Source: Jira PLATFORM, DIGITAL & INFRA · Aug 18, 2026

Slide 3 of 4

Key Metrics

99.94%
Platform Uptime
-18%
Cloud Spend vs Q2
4 / 6
Brands on Unified POS
2.1s
P95 API Latency
Slide 4 of 4

Q4 Roadmap

Inspire OS Pilot -- Deploy AI agent workspace to CTO office and brand technology teams.
Unified POS Cutover -- Complete migration for Arby's and SONIC with 30-day parallel run.
Drive-Thru Voice AI Expansion -- Roll out AI voice ordering from SONIC pilot to Dunkin' and Arby's.
Zero Trust Phase 2 -- Extend to franchise restaurant networks. Target 80% coverage.
Cross-Brand Loyalty Data Platform -- Unify guest data across Dunkin' Rewards, Freaky Fast Rewards, and all brand loyalty programs.

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.

md
company-strategy-fy2027.md
Inspire's strategic priorities, multi-brand platform vision, and key results by brand
md
brand-standards-guidelines.md
Brand identity, voice, and communication standards across all six brands
md
food-safety-standards.md
HACCP protocols, FDA compliance, quality assurance, and food safety audit procedures
md
technology-platform-architecture.md
Shared platform architecture, integration patterns, technology radar, and ADRs
md
franchise-operations-playbook.md
Franchise onboarding, performance standards, support procedures, and compliance
md
cybersecurity-policy.md
Security policies, PCI-DSS v4.0.1 compliance, data protection, and incident response
md
ai-governance-framework.md
AI/ML model deployment guidelines, ethical AI standards, and bias monitoring procedures
md
supply-chain-procedures.md
Logistics workflows, supplier management, distribution protocols, and commodity trading
md
digital-experience-standards.md
Mobile app standards, web ordering, loyalty platform specs, and guest data policies
md
hr-policies.md
Leave policies, performance review criteria, hiring procedures, and compensation guidelines

Skills

NameDescriptionGroupSource
meeting-prepScan calendar, gather context from connected systems, and generate briefing docsGeneralInspire
weekly-reportCompile team activity summaries from Jira, Slack, email, and calendar dataGeneralInspire
franchise-performanceAnalyze franchise performance metrics, benchmark against brand standards, identify outliersOperationsInspire
menu-optimizationAnalyze menu item performance, pricing sensitivity, and recommend optimization strategiesOperationsInspire
supply-chain-analysisGenerate supplier scorecards, track commodity prices, and flag procurement risksOperationsInspire
digital-experience-reviewAudit mobile app and web ordering UX across brands, benchmark against competitorsTechnologyInspire
ai-model-deploymentManage AI model lifecycle -- training, validation, deployment, and monitoring across brandsTechnologyInspire
architecture-reviewBuild quarterly platform review decks from Jira and Confluence dataTechnologyInspire
brand-campaign-briefResearch audiences, draft campaign briefs with messaging, creative direction, and channel mixMarketingInspire
competitive-analysisResearch QSR competitors and generate comparison briefs with market positioningMarketingInspire
food-safety-auditGather HACCP compliance evidence, map controls, and generate audit packagesComplianceInspire
pci-compliancePCI-DSS v4.0.1 compliance tracking, control mapping, and remediation reportingSecurityInspire
vendor-assessmentGenerate vendor security questionnaires and compute risk scores against standardsSecurityInspire
cost-optimizationCloud and infrastructure spend analysis, trend visualization, and optimization recommendationsFinanceInspire
job-posting-draftDraft job descriptions from role requirements, team context, and compensation guidelinesHRInspire
onboarding-guideGenerate new hire documentation from wikis, org charts, and system access proceduresHRInspire