OUR COMPANY
Working Capital Technology Inc. (WCT.AI) develops and provides innovative technologies and services to optimize working capital management of large and medium-sized companies.
WCT.AI offers an automated cloud computing technology to enable companies to perform comprehensive credit analysis of their private customers and suppliers.
We have more than 30 years of working capital management expertise with leading international companies.
Working Capital Technology Inc. (WCT.AI) develops and provides innovative technologies and services to optimize working capital management of large and medium-sized companies.
WCT.AI offers an automated cloud computing technology to enable companies to perform comprehensive credit analysis of their private customers and suppliers.
We have more than 30 years of working capital management expertise with leading international companies.
OUR MARKET NICHE
OUR MARKET NICHE
RECOGNITION OF EXPERTISE
“As former Chief Commercial Officer and Managing Director for Rio Tinto Aluminium, I worked closely with Gilles in the area of working capital management. As an international expert, he implemented best practices in N.A., EMEA and APAC that minimized the working capital requirements. His approach for assessing creditworthiness of customers and suppliers was very effective for business decision-making.”
Gervais Jacques, Former Chief Commercial Officer and Managing Director, Rio Tinto Aluminium
“I have known Gilles for over 25 years. I worked with him when he was in the pulp and paper industry. During that time he consistently demonstrated exceptional critical thinking and problem-solving. I have followed Gilles career as he developed significant expertise in the area of working capital management. He has demonstrated to me at my current company the unique cloud computing technology he has created that assesses the creditworthiness of private customers and suppliers. I highly recommend Gilles and his proven abilities to deliver.”
William G. Harvey, Former Executive Vice President & Chief Financial Officer, AbitibiBowater, Inc.
“I have known Gilles for more than 25 years, and worked with him in the past with two public Canadian companies. In my view, he has developed over time a very unique and world class expertise in the critical area of working capital management. I would not hesitate to highly recommend him.”
Michael S. Hanley, Former Executive Vice President and Chief Financial Officer, Alcan Inc.
“I worked with Gilles at Rio Tinto Aluminium where I was the CFO of the Product Group from 2007-2014. He is a global expert in working capital management. He performed work to improve Rio Tinto Aluminium’s working capital. He implemented best practices, set the right KPI’s and made appropriate organizational changes. His impact on Rio Tinto Aluminium’s working capital was significant during this time. I highly recommend him.”
Received BRAVO Award winner in 2013 and 2015 for working capital improvement.
Phillip Strachan, Former Chief Financial Officer, Rio Tinto Aluminium
“Mr. Blais has demonstrated the ability to quickly grasp complex situations, identify problems and propose appropriate and creative solutions. He was the Vice-President of Net Working Capital Management Processes for the ABB Group in Switzerland. Due to his proven skills, I believe that he has the necessary expertise to undertake challenging senior positions in his areas of expertise. His international experience would enable him to make an effective contribution to multinational companies.”
Received ABB Management Performance Award in 1998, 1999 and 2000 for working capital improvement.
Paul T. Kefalas, Former President and Chief Executive Officer, ABB in Canada
“As an expert in working capital, Gilles F. recommended a global approach for Rio Tinto’s credit and collection activities, and implemented best practices that supported reduction in working capital requirements.”
Sanjay Patel, Former Global Head of Business Services & Support, Rio Tinto
USER NEEDS DEFINED
Our credit reports are based on comments received from credit managers and procurement managers.
Credit managers have identified the following needs for their customers:
Automated credit models.
A reliable credit rating established from the customer’s financial statements.
A maximum credit limit for each customer.
The key financial ratios: profitability, debt, liquidity and performance.
Some financial ratios thresholds.
The Altman’s Z-score.
The debt maturity schedule.
Procurement managers have identified the following needs for their suppliers:
Automated credit models.
A reliable credit rating based on the supplier’s financial statements.
The supplier concentration risk with a threshold value.
The supplier risk exposure with a threshold value.
Calculation of the main financial ratios: profitability, debt and liquidity.
Reference thresholds for certain financial ratios.
OUR COMPETITIVE ADVANTAGES
| FOR PRIVATE ENTITIES | WCT.AI | COMPETITORS |
|---|---|---|
| Uses the financial statements of private customers and suppliers |  |
 |
| Offers two distinct credit models: one for customers and one for suppliers | |
|
| Calculates key financial ratios – Profitability, Leverage, Liquidity, Efficiency | |
|
| Indicates the threshold values for key financial ratios | |
|
| Recommends a credit rating | |
|
| Calculates the Altman Z-Score | |
|
| Recommends a maximum credit limit for customers | |
|
| Presents the debt maturity schedule for customers | |
|
| Calculates the risk exposure with a threshold value for suppliers | |
|
| Calculates the concentration risk with a threshold value for suppliers | |
|
| FOR PRIVATE ENTITIES | WCT.AI | COMPETITORS |
|---|---|---|
| Uses the financial statements of private customers and suppliers | |
|
| Offers two distinct credit models: one for customers and one for suppliers | |
|
| Calculates key financial ratios – Profitability, Leverage, Liquidity, Efficiency | |
|
| Indicates the threshold values for key financial ratios | |
|
| Recommends a credit rating | |
|
| Calculates the Altman Z-Score | |
|
| Recommends a maximum credit limit for customers | |
|
| Presents the debt maturity schedule for customers | |
|
| Calculates the risk exposure with a threshold value for suppliers | |
|
| Calculates the concentration risk with a threshold value for suppliers | |
|
OUR CREDIT REPORTS
| CUSTOMER | CUSTOMER | SUPPLIER | |
|---|---|---|---|
| Scope of the analysis | Two Fiscal Years | One Fiscal Year | One Fiscal Year |
| Time to complete | 30 minutes | 10 minutes | 10 minutes |
| Credit Rating (AAA to CC) | Yes | Yes | Yes |
| Z-Score | Yes | Yes | Yes |
| Maximum Credit Limit | Yes | Yes | N/A |
| Debt Maturity Schedule | Yes | No | No |
| Financial Ratios | 23 | 10 | 10 |
| Financial Ratios Thresholds | 11 | 9 | 9 |
| Risk Exposure and Concentration Risk | N/A | N/A | Yes |
| CUSTOMER | CUSTOMER | SUPPLIER | |
|---|---|---|---|
| Scope of the analysis | Two Fiscal Years | One Fiscal Year | One Fiscal Year |
| Time to complete | 30 minutes | 10 minutes | 10 minutes |
| Credit Rating (AAA to CC) | Yes | Yes | Yes |
| Z-Score | Yes | Yes | Yes |
| Maximum Credit Limit | Yes | Yes | N/A |
| Debt Maturity Schedule | Yes | No | No |
| Financial Ratios | 23 | 10 | 10 |
| Financial Ratios Thresholds | 11 | 9 | 9 |
| Risk Exposure and Concentration Risk | N/A | N/A | Yes |
IMPORTANCE OF CREDIT ANALYSIS
The number of publicly listed US companies has declined by approximately 50% since 1997.
A majority of world-class organizations use an automated credit rating model, perform annual review and use financial statements.
As per The Hackett Group – 2017 Procurement Executive Insight, the financial reliability of suppliers has emerged as the leading program for world-class organizations.
U.S. and Canadian banks have more than doubled their allowances for loan losses during the COVID-19 recession in 2020 (about US$250 billion) and the Financial Crisis in 2008 (approximately USD270 billion).
As per the FMI, the U.S. stimulus packages amounted to 4.8% of GDP during the 2008 financial crisis and 25.5% of GDP (USD5328 billion) during the Covid-19 crisis.
As per the FMI, the Canadian stimulus packages amounted to 2.7% of GDP during the 2008 financial crisis and 14.6% of GDP (USD241 billion) during the Covid-19 crisis.
IMPORTANCE OF CREDIT ANALYSIS
The number of publicly listed US companies has declined by approximately 50% since 1997.
A majority of world-class organizations use an automated credit rating model, perform annual review and use financial statements.
As per The Hackett Group – 2017 Procurement Executive Insight, the financial reliability of suppliers has emerged as the leading program for world-class organizations.
U.S. and Canadian banks have more than doubled their allowances for loan losses during the COVID-19 recession in 2020 (about US$250 billion) and the Financial Crisis in 2008 (approximately USD270 billion).
As per the FMI, the U.S. stimulus packages amounted to 4.8% of GDP during the 2008 financial crisis and 25.5% of GDP (USD5328 billion) during the Covid-19 crisis.
As per the FMI, the Canadian stimulus packages amounted to 2.7% of GDP during the 2008 financial crisis and 14.6% of GDP (USD241 billion) during the Covid-19 crisis.
IMPORTANCE OF CREDIT ANALYSIS
The number of publicly listed US companies has declined by approximately 50% since 1997.
A majority of world-class organizations use an automated credit rating model, perform annual review and use financial statements.
As per The Hackett Group – 2017 Procurement Executive Insight, the financial reliability of suppliers has emerged as the leading program for world-class organizations.
U.S. and Canadian banks have more than doubled their allowances for loan losses during the COVID-19 recession in 2020 (about US$250 billion) and the Financial Crisis in 2008 (approximately USD270 billion).
As per the FMI, the U.S. stimulus packages amounted to 4.8% of GDP during the 2008 financial crisis and 25.5% of GDP (USD5328 billion) during the Covid-19 crisis.
As per the FMI, the Canadian stimulus packages amounted to 2.7% of GDP during the 2008 financial crisis and 14.6% of GDP (USD241 billion) during the Covid-19 crisis.