Build internal business systems that remove operational chaos

[ 1 ]

Client & context

A growing dance school operating across multiple locations in the UK, offering a wide range of dance styles.

The studio manages:

6 locations
500+ students
10+ teachers
multiple class groups across different age categories

Having already centralized their operations, the studio wanted to go a step further — turning their data into actionable business insight.

[ 2 ]

Operational challenges

Before this system, the studio had no analytics tool at all — only spreadsheets:

no way to see which classes or instructors performed best
no visibility into attendance trends by category or location
no clear picture of revenue drivers across locations
underperforming classes went unnoticed until it was too late
decisions about scheduling, pricing and staffing were made without data
standard CRM reporting couldn't answer the specific business questions the owners actually had

This resulted in:

missed opportunities to promote high-performing services
underused capacity at some locations while others were overbooked
limited ability to plan ahead or forecast revenue
owners relying on intuition rather than data for key decisions

[ 3 ]

Business goals

The studio needed a system that would:

answer business questions CRM data alone couldn't
show which classes, instructors and locations perform best
surface attendance and enrollment trends in real time
track revenue and forecast future performance
highlight underused capacity and low-performing classes
give owners a fast, direct way to get answers — without building reports manually

[ 4 ]

Our solution

We designed and built an AI-powered business analyst — a chat agent connected directly to the studio's internal database.

The agent has access to schedules, instructor workload, payments, and full student data across all locations, and can answer business questions in plain language, on demand.

Core capabilities:

Natural-language chat interface for business questions
Real-time access to schedules, attendance, payments and student data
Performance analysis by class, instructor and location
Revenue and membership tracking
Capacity and utilization analysis across locations
Student growth and churn tracking
Revenue forecasting based on current trends
Actionable recommendations for improving attendance and revenue
Full data security — all studio and student data stays private, is never used to train public AI models

[ 5 ]

Platform walkthrough

[ 6 ]

System interface

No items found.

[ 7 ]

Operational improvement

Before

• no analytics tool, only spreadsheets
• no visibility into class or instructor performance
• manual, time-consuming reporting
• decisions based on intuition
• no forecasting capability

‍

After

• instant answers via AI chat agent
• clear performance data by class, instructor, location
• on-demand insights, no manual reports
• data-driven decision-making
• trend-based revenue forecasting

[ 8 ]

Our results

• Instant answers to complex business questions without manual reporting
• Clear visibility into class, instructor and location performance
• Data-driven decisions on scheduling, pricing and staffing
• Early identification of underperforming classes and underused capacity
• Ability to forecast revenue based on current trends
• Owners gained a fast, direct way to understand business performance

Thinking about building a system like this?