Introduction to Fliweel

About us

Aiming to Be the Best Delivers Measurable Results launched in 2022 by its founder Andy Paul. Andy has 12+ years experience across a variety of roles in data science & reporting, consulting, technology enablement, and product management.

He has spent his career in both London and San Francisco solving complex problems in data analytics and technology for fortune 500 companies and high growth start ups.

  1. We go into businesses, identify the bottlenecks free of charge.
  2. Quantify the operational time and cost of the bottlenecks.
  3. Propose an automated solution and quantify the cost savings and ROI.
  4. Implement the solution within 3-6 weeks and maintain.


We help businesses focus on creativity and innovation. 


Fliweel helps companies cut costs and accelerate its growth trajectory by identifying operational bottlenecks across manual repetitive tasks.
Out of 5

Reduced invoicing costs by 30%

Invoice processing carried many challenges, including the disparate formats in which vendors submit the invoices: paper copy, email, fax, PDF, MS Word Doc, etc. This forced our finance analysts to manually transfer the data from various sources into the our main financial database system, therefore making it a time consuming and error-prone task.

Fliweel set up a process to automatically process invoices upon receipt, whether they arrive electronically or in paper formats (using OCR). The software can automate the data input, error reconciliation, and process certain decision-making required throughout the invoice processing, minimising the need for an employee. 

The overall process is now performed end-to-end from receipt to payment in minutes instead of almost an hour.


John Oliver - Manufacturing Company
Out of 5

Call centre request volume down by 20%

Many of our customer requests were handled by a call centre. Often, common customer queries and solutions would be provided to agents via a dashboard.

Fliweel was able to implement an advanced chatbot to consolidate all common support responses into a workflow to handle repetitive support enquiries. If the chatbot solution was not adequate for the customer, information about a customer on a single screen would be sent to the next agent to handle more complex requests.

This reduced volumes by a fifth as well as average handling time by 30%.

Thomas Guiles - Online Retailer