AI Projects

Airudi, your partner in the shift to AI-HR

 

At Airudi, we guide you from the identification of your operational and human challenges to identify the most challenging projects, transforming your challenges into opportunities for innovation and growth.

We offer advanced solutions tailored to your business goals, leveraging artificial intelligence, machine learning and data analysis.

Success stories 

Learn how we have helped these organizations to succeed with our technology. 

Maritime employers association

At the Port of Montreal, ship arrivals and departures do not follow a regular schedule; port operations take place 24 hours a day, 7 days a week. Each day, the MEA asks terminal operators for their manpower requirements for the following day.

Depending on the availability of workers, their skills and the rules of established collective agreements, a schedule is generated daily at 6 p.m. for port employees. Without predictability of operations and manpower requirements, it is difficult to optimize the training periods offered to employees.

The manpower planning and allocation solution we have developed increases the predictability of operations from 24 to 21 days, and reduces manpower deployment errors from 30% to 15%, generating significant savings in labor costs.

 

By taking into account port traffic, weather, quantity and type of cargo, Galileo proposes an optimal scenario for the deployment of manpower that respects collective agreements, the availability of port workers and the skills required. As a result, terminal operators have an additional resource for making better decisions about manpower requirements, and the MEA can better plan its training and optimize resource cost management.

 

Maritime employers association

At the Port of Montreal, ship arrivals and departures do not follow a regular schedule; port operations take place 24 hours a day, 7 days a week. Each day, the MEA asks terminal operators for their manpower requirements for the following day.

Depending on the availability of workers, their skills and the rules of established collective agreements, a schedule is generated daily at 6 p.m. for port employees. Without predictability of operations and manpower requirements, it is difficult to optimize the training periods offered to employees.

The manpower planning and allocation solution we have developed increases the predictability of operations from 24 to 21 days, and reduces manpower deployment errors from 30% to 15%, generating significant savings in labor costs.

 

By taking into account port traffic, weather, quantity and type of cargo, Galileo proposes an optimal scenario for the deployment of manpower that respects collective agreements, the availability of port workers and the skills required. As a result, terminal operators have an additional resource for making better decisions about manpower requirements, and the MEA can better plan its training and optimize resource cost management.

 

Urgences-santé

The aim of the project is to equip Urgences-santé with a unique AI-powered decision-making tool to improve staffing efficiency in the medium term, avoid service gaps in the short term and mitigate them in the very short term.

The platform leverages existing data
and external factors such as weather or road conditions that may cause an increase in demand, to predict the influx of calls for paramedical interventions and thus provide optimal decision support for workforce planning.

The goal of this solution is to measurably improve patient care, paramedical staff well-being, operational efficiency and agility.

Novo SST

A leader in occupational health and safety (OHS) management, Novo offers comprehensive services to support organizations and enhance their OHS performance. Novo’s high-performance mutuals rank among the best in Quebec, demonstrating its commitment to providing effective and cost-efficient solutions for its clients’ OHS management.

In partnership with artificial intelligence experts at Airudi, Novo has developed an innovative interactive platform aimed at providing its clients with an optimal experience, allowing them to easily report incidents and accidents.

By using the platform, employers gain efficiency and speed in information collection, benefit from increased security in data transfer, and have the opportunity to access real-time customized prevention proposals tailored to identified risks.

This paperless method also allows access to data records on a dashboard and provides assistance from a conversational agent throughout the reporting process. Novo is dedicated to making the management of workplace injuries simple and accessible for its clients.

 

Emplois Compétences

Specializing in recruitment, Emplois Compétences use our augmented recruiting solution to effectively combine skills and job offers.  

The platform enables them to operate their digital transformation by integrating AI and Machine Learning into their operational practices and processes.  

The platform allows you to automate several tasks: 

  • Intelligent recommendation of the most qualified candidates (scoring)
  • Display vacancies across multiple platforms in one click 
  • Simplify email exchanges with candidates
  • Record and transcribe interviews without human action

Through the platform, recruitment teams optimize 80% of repetitive manual tasks and can focus on the candidate relationship and innovate in their recruiting approaches. 

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