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How We Built and Manage a Customer Support Operation Across 21 Slack Channels Using AI.

A US-based delivery operation needed customer support that could keep up with volume across 21 client channels, without adding a management layer on their side. We built the entire operation, and now we run it.

Client Challenge

Support at scale, without the management burden.

The client needed a customer support operation capable of managing requests across 21 different Slack channels while maintaining response time standards and service quality.

Managing the team internally would have required recruiting, onboarding, training, scheduling, performance management, coverage planning, reporting, and continuous oversight. The client wanted the results without the management burden.

Our Solution

We built the entire operation, and we run it.

Passion Fruit Solutions built the operation from scratch, and now manages every part of it end to end.

The Build

What we set up.

Recruited and vetted customer support talent
Created training materials and onboarding processes
Trained every agent
Built AI-powered management systems

The Ongoing Work

What we run every day.

Deployed the team, and now oversee daily operations
Managed schedules and coverage
Handled performance management
Replaced team members when necessary

The client does not manage individual agents. If someone is unavailable, underperforming, needs additional coaching, or must be replaced, our team handles it behind the scenes.

The Result

A fully managed service, with measurement built in.

Slack channels covered

1,382

Tickets managed weekly

Avg first reaction

3m 37s

Avg first response

The support operation now functions as a fully managed service, backed by an AI-powered dashboard that made real measurement possible for the first time.

Before we built the dashboard, SLA performance was effectively invisible. Response times, ticket age, agent throughput, none of it was tracked. The client had no way to measure it. We had nothing to manage against.

What isn't tracked can't be measured. What can't be measured can't be improved.

The live view changed that. We now manage the operation in real time: every open ticket visible, prioritized by age so nothing falls through the cracks, and staffing calls made from data instead of guesswork.

This gives us the ability to identify bottlenecks before they impact service levels, and proactively scale the team as demand changes.

In the moment

Real-time visibility.

Active ticket volume
Tickets assigned per agent
Response times by agent
Response times by channel
SLA performance

Looking ahead

Predictive intelligence.

Ticket volume trends
Hourly and daily demand patterns
Team utilization
Capacity forecasting

Inside the dashboard

Operational intelligence, at a glance.

Main analytics overview screen showing total tickets, response times, and SLA performance.

Analytics overview. The main dashboard view: ticket volume, inbound versus outbound, response times, handling time, and SLA misses, all in one place.

A Passion Fruit Solutions team member and the client greeting each other warmly. The partnership behind the operation.

Why This Matters

Most staffing providers stop after placement. We take ownership of the outcome.

By combining vetted talent, operational management, and AI-powered visibility, we help clients run operations that are scalable, measurable, and largely hands-off.

The result is a support team that operates like an extension of the client's business, without creating additional management work for their leadership team.