Challenge
Search Acumen regularly engages in strategy sessions with Geeks for a detailed assessment of their day-to-day operations, finding efficiency opportunities through emerging tech like AI, and aiding informed investments.
In a recent review, it became apparent that while many data providers offer direct interfaces, some still send data as email attachments. This forced Search Acumen into inefficient manual processes, causing significant delays—several weeks—in data processing. Initially manageable, this became impractical with their expanding client base, making continual hiring to manage these tasks unsustainable.
Search Acumen regularly engages in strategy sessions with Geeks for a detailed assessment of their day-to-day operations, finding efficiency opportunities through emerging tech like AI, and aiding informed investments.
In a recent review, it became apparent that while many data providers offer direct interfaces, some still send data as email attachments. This forced Search Acumen into inefficient manual processes, causing significant delays—several weeks—in data processing. Initially manageable, this became impractical with their expanding client base, making continual hiring to manage these tasks unsustainable.
Solution
To break through this barrier to growth, Geeks developed a custom Machine Learning model, trained to classify emails into different categories with highly efficient data sorting. “Robbie”, the AI model, extracts and analyses information from attachments and email bodies to link it with the respective order of the client. It determines the category and verifies the information with details about the common local authorities. Robbie the Robot, described by Search Acumen, as the 'Indefatigable Employee', was praised for its accuracy, speed, and capabilities.
Robbie keeps learning and improving and currently handles around 90% of incoming emails by itself with no human assistance.
In the past 12 months, the business received over 65,000 emails, of which only 11% needed manual expert interventions which were immediately flagged by Robbie, and this was to verify minor aspects of information which were fed into Robbie’s learning.
This single change has transformed the email processing system; removing the manual strain of data processing on the team and reducing processing from weeks to completion within minutes. This helped to boost morale and productivity within the organisation as Robbie has freed up time for his human counterparts to contribute to more progressive tasks.
To break through this barrier to growth, Geeks developed a custom Machine Learning model, trained to classify emails into different categories with highly efficient data sorting. “Robbie”, the AI model, extracts and analyses information from attachments and email bodies to link it with the respective order of the client. It determines the category and verifies the information with details about the common local authorities. Robbie the Robot, described by Search Acumen, as the 'Indefatigable Employee', was praised for its accuracy, speed, and capabilities.
Robbie keeps learning and improving and currently handles around 90% of incoming emails by itself with no human assistance.
In the past 12 months, the business received over 65,000 emails, of which only 11% needed manual expert interventions which were immediately flagged by Robbie, and this was to verify minor aspects of information which were fed into Robbie’s learning.
This single change has transformed the email processing system; removing the manual strain of data processing on the team and reducing processing from weeks to completion within minutes. This helped to boost morale and productivity within the organisation as Robbie has freed up time for his human counterparts to contribute to more progressive tasks.
Results
- The AI agent Instantly reviews and processes ≥95% of incoming emails with no human assistance.
- Over 58,000 emails were managed by the AI agent without human interaction in the first 12 months
- 100% accuracy on all completed tasks reducing human error rates.
- Contributed to the valuation of the company and successful acquisition due to AI adoption.
- The AI agent Instantly reviews and processes ≥95% of incoming emails with no human assistance.
- Over 58,000 emails were managed by the AI agent without human interaction in the first 12 months
- 100% accuracy on all completed tasks reducing human error rates.
- Contributed to the valuation of the company and successful acquisition due to AI adoption.