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GreenClean Franchise Group | cleaning

Franchise Group Connects 23 Tools via MCP — Saves $340K in Operations Annually

Atlanta, GACommercial cleaning franchise (38 locations)14 weeks engagement
AI AgentsWeb DesignLead Generation

Challenge

GreenClean's 38-location franchise operation ran on a patchwork of disconnected tools: Jobber for scheduling, QuickBooks for invoicing, Gusto for payroll, Slack for communication, Google Workspace for docs, HubSpot for sales, and a dozen more. The franchise operations team of 5 people spent their entire day manually copying data between systems, generating reports by exporting CSVs, and answering franchisee questions that required checking multiple platforms. Each month-end close took 3 full weeks of manual reconciliation. Franchise owners waited days for answers to simple questions like "What's my revenue this month?" or "Which cleaning crews are underperforming?" The operations team was the bottleneck for the entire organization, and the CEO estimated they were spending $480K annually on tasks that should be automated.

Solution

We built an AI operations hub using the Model Context Protocol (MCP) to connect all 23 business tools through a unified AI interface: MCP Server Integration: Created MCP servers for each of GreenClean's critical tools—Jobber, QuickBooks, Gusto, HubSpot, Google Workspace, Slack, and 17 others. Each server exposed read and write capabilities through a standardized protocol, allowing the AI to interact with any tool naturally. Operations AI Agent: Deployed a central AI agent that could answer any operations question by querying across multiple systems simultaneously. "What's the profit margin for the Dallas location this quarter?" triggered parallel queries to Jobber (revenue), QuickBooks (expenses), and Gusto (labor costs) to produce a unified answer in seconds. Automated Reporting: The AI generated weekly franchise performance reports, monthly P&L summaries, and quarterly board presentations automatically by pulling real-time data from connected systems. Reports that took 3 days to compile manually were generated in under 2 minutes. Franchisee Self-Service Portal: Each franchise owner got access to an AI assistant that could answer location-specific questions, schedule crew changes, approve invoices, and generate custom reports—all through natural conversation without learning any new software. Proactive Alerts: The AI monitored all systems continuously and flagged anomalies—unusual expense patterns, declining customer satisfaction scores, scheduling conflicts, or payroll discrepancies—before they became problems.

Results

-90%

Monthly Close Time

3 weeks2 days

-85%

Operations Staff Hours on Manual Tasks

800 hrs/month120 hrs/month

-99%

Franchisee Question Resolution

24-48 hoursUnder 30 seconds

-$340K saved

Annual Operations Cost Savings

$480K spent$140K spent

Full automation

Tools Connected via MCP

0 (all manual)23 integrated

I used to wait two days to get a simple revenue report. Now I just ask the AI and have it in seconds—with data pulled from five different systems I didn't even know we had. The MCP integration is like giving every franchisee their own operations manager. Our month-end close went from a three-week nightmare to a two-day process. This technology has genuinely transformed how we run 38 locations.

Michael Okonkwo

CEO, GreenClean Franchise Group

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