Increase your capacity by 45% with AI.

How you can improve your profitability
by powering your operation with AI.

Enter your data

10people
1500
US$50
US$5US$300
+65% more revenue
WithCOR+ AI

Annual revenue by taking billable hours to 82% + saving 45% of hours with AI

$1.1M
annual revenue

Your results

Annual Revenue Opportunity

WithoutCOR
Current annual revenue with 72% billable hours, without using COR.
$691K
annual revenue
+14% more revenue
WithCOR
Annual revenue by taking billable hours from 72% to 82%, using COR.
$787K
annual revenue
+65% more revenue
WithCOR+ AI
Annual revenue by taking billable hours to 82% + saving 45% of hours with AI
$1.1M
annual revenue

Annual revenue comparison

$285K$571K$856K$1.1M$691K+14% more revenue$787K+65% more revenue$1.1M+ AI

Want to achieve these results?

We offer a personalized meeting to analyze together how you can increase profitability with AI.

The results provided by this calculator are for informational purposes only. We do not guarantee or assure that these values are accurate for all cases. Every agency is unique and results may vary depending on various factors.

Annual revenue opportunity
with COR + AI

$1,141,440

82% billable hours + AI

With COR and saving 45%
of hours with AI (*).

72% Billable Hours Without COR
Current annual billable hours
13,824
billable hours / year
82% Billable Hours With COR + AI
Potential annual billable hours
22,829
billable hours / year
Without COR
Average projects per month
2
projects / month (base)
With COR + AI
Average projects per month (+35%)
3
projects / month
Case Study

Profitability Growth by Increasing Billable Hours and Optimizing Operations with AI

100
employees
16,000
available hours per month
50 USD
per hour

A creative agency in Latin America has 100 employees and a total of 16,000 available hours per month, at an average rate of 50 USD per hour.

After six months of using COR, we conducted an initial diagnosis and discovered that only 72% of the time was billable, meaning more than 28% of the time was spent on internal matters such as team meetings, training, and time off.

We found that if the agency increased its billable hours by reducing time spent on internal matters, it could increase its billing opportunity by 10 points, raising billable hours from 72% to 82%, equivalent to 1,200 hours.

82%COR
45%AI
35%

more projects, increasing operational capacity

In other words, these 1,200 hours previously spent on internal matters could now become available for billing, representing an additional 80,000 USD per month and an annual revenue opportunity of 960,000 USD.

Furthermore, the use of artificial intelligence in the agency's daily operations allowed saving 45% of working hours on repetitive and administrative tasks that AI helped automate. With this optimization, the agency was able to take on 35% more projects, increasing operational capacity without hiring additional staff. This change resulted in 5,904 additional billable hours per month, equivalent to 295,200 USD more per month, translating into an annual revenue opportunity of 3,542,400 USD.

Summary of

Annual Revenue Opportunities

Opportunity from reducing internal hours
US$ 960,000
Opportunity from AI automation
US$ 3,542,400
Total Opportunity
US$ 11,414,400
COR Report

Calculations Based on
COR Benchmarks and the COR Report

Full-Time Schedule

160 monthly hours per FTE (Full-Time Equivalent).

82% Ideal Optimization

This is the percentage recommended by COR to maximize billable hours at agencies. This value reflects the ideal target that helps improve operational efficiency.

72% Billable Hours Without Project Management Tools

This is the average billable hours achieved by agencies that do not use specialized tools for project management.

Working Hours Saved Through Automation

On average, agencies are saving between 30% and 50% of their working hours thanks to automating repetitive tasks with AI. 45% is a commonly reported value, which contributes to improving operational efficiency, allows taking on more projects, and optimizes the profitability and scalability of agencies.

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