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AMA Ignite Ideas Portal

Our Purpose is to promote innovation and intrapreneurship within the AMA business aligned to the business’ strategic goals


Our Vision is to propel the launch of new solutions and services that positions the AMA portfolio as an industry leader and disrupter


Our Mission is to offer a platform for ideation and a clear pathway to incubation and implementation with executive management sponsorship

AMA initiatives Technology Innovation
Created by Hayley Middleton
Created on May 27, 2021

ProFISee - Remove the Guesswork from your revenue forecasting

FI Six Mission Possible

Who are the team members? (1 to maximum 6 members) Chris Kardell, David Raynault, Michael Slinger, Katharine Nightingale, Hayley Middleton
How did you form your team? Formed for InnovateIN48
Would you like assistance in identifying additional team members? No
What problem are you solving?

Remove the Guesswork from your revenue forecasting using an AI Calculated ProFISee Rating

Today we assign a prospect rating to an RPS project to allow an insite into the future revenue forecast.

That prospect rating can be determined from some interaction with the bank on the project request, a good banking relationship, but mostly it boils down to a gut-feel. A guess. And let’s not forget an individual’s emotion and biases.

Using our many years of stored data on previous RPSs fed into our machine learning algorithm, and our ProFISee API, we can bypass the guesswork, emotion and biases and more accurately predict the ProFISee rating for these project requests, leading to more accurate revenue forecasts with the click of a button! But that’s not all!

Whether it is RPS revenue forecasting, sales revenue forecasting or even development hours forecasting, the PROFISEE methodology can be tailored to any forecasting project. Need to forecast? : ProFISee can help.

Describe your idea in 1 sentence? What is your elevator pitch? Remove the Guesswork from your revenue forecasting using an AI Calculated ProFISee Rating
Describe the idea

ProFISee was designed to provide a data-driven, consistent and accurate API to help forecast the revenue for Professional Services Projects.

ProFISee uses an API first design to ensure it can be leveraged using the latest FIS tools such as Code Connect. A number of algorithms were tested and implemented including [K-Nearest Neighbors Algorithm (KNN and Conditional Decision Trees.

These supervised learning algorithms are able to successfully classify data from all types of industries! We utilized them to classify RPS Ratings to address an immediate need within FIS, but they are only limited by your imagination.


## Why PROFISEE is So, So, cool...

For many years, we've just assumed that you had to have inside or specialized knowledge to accurately predict the probability that a project would be accepted and turned into revenue.

Or just guess! What if we're wrong? What if we could remove the expert knowledge requirement, the emotion and the inherent human biases and create a data driven consistent predictor of revenue forecast.

ProFISee takes advantage of the vast RPS database that we have painstakingly accumulated over many years and now *puts the data together* with modern ML and AI techniques.

In doing so, it changes a DB historically used for just recording RPSs into a means to help forecast the future. Most importantly, it can be used by everyone.


How do you classify your idea? Is it.. New solution or service
What is the primary product or is there cross business applicability? Cross business
How will you implement the idea and what support/investment will you need? Implementation is possible today, after the business unit utilizing ProFISee have completed some initial data analysis
Do you think your idea can be developed and launched in 6 months? Yes
Do you have a working PoC? Yes
Do you have a business plan? Yes
How does your idea address the AMA initiative selected above? ProFISee takes advantage of the vast RPS database that we have painstakingly accumulated over many years and now *puts the data together* with modern Machine Learning (ML) and Artificial Intelligence (AI) techniques.
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