Procom supported multiple organizations at critical points in their AI and automation journeys by delivering specialized talent aligned to delivery risk, governance requirements, and time-to-value pressure.
In each case, progress was constrained by different factors across the AI lifecycle, including system usability, AI and ML integration, governance readiness, and the ability to scale automation beyond proof of concept. Procom’s role was to align the right expertise at the right moment to keep initiatives moving under real-world enterprise constraints.
Each client required highly specialized expertise to address these challenges: professionals with deep knowledge in AI systems, cloud architecture, governance frameworks, and automation technologies.
With the demand for AI and automation talent at an all-time high and internal resources stretched thin, Procom’s role was clear: reduce delivery risk by deploying specialized expertise without delay.
How Procom delivered the right talent to solve critical AI challenges
Across these projects, clients faced unique issues such as usability concerns, integration difficulties, and governance complexities that hindered progress.
Each example below illustrates how treating AI hiring as a delivery function reduces execution risk and accelerates value realization:
1. Optimizing AI systems and enhancing usability: Data Scientists and AI Engineers
Client challenge: Bennett Jones SLP struggled with the usability and effectiveness of their AI system. They lacked internal expertise in data manipulation, insights generation, and the integration of Microsoft Azure and generative chat functionalities.
Procom’s solution: Procom deployed Data Scientists and AI Engineers who improved system usability, optimized performance, and integrated advanced tools such as generative chat functionalities. The team leveraged its expertise in Microsoft Azure to create effective data solutions.
Outcome: The AI system’s usability was enhanced, performance improved by 30%, and troubleshooting time decreased by 40%, leading to higher client satisfaction and better team collaboration.
2. AI/ML integration and cloud optimization: Machine Learning Engineers
Client challenge: Ceridian Dayforce faced a shortage of in-house AI/ML integration expertise and needed to optimize its talent management system using AI/ML. They also needed better cloud resource management for ML models.
Procom’s solution: Procom deployed Machine Learning Engineers who integrated AI and ML into the client’s talent management tools, optimized their cloud resources, and improved ML model deployment and monitoring.
Outcome: Deployment time was reduced by 30%, model efficiency increased by 25%, and collaboration between teams was enhanced, driving a more efficient talent management system.
3. Developing an AI governance framework: AI Governance Consultants
Client challenge: Ernst & Young LLP needed leadership to develop a robust AI governance framework, manage complex stakeholder relationships, and operationalize new governance models.
Procom’s solution: Procom deployed an AI Governance Consultant who led the development of a Safe AI governance framework, created policies, and managed communication between stakeholders, ensuring proper AI risk management.
Outcome: Confidence in AI risk management grew, the delivery of the framework was accelerated by 30%, and internal strain was reduced, enabling the client to make timely decisions.
4. Designing scalable AI architecture: AI Architects
Client challenge: Intact Insurance needed an AI Architect to design secure, scalable AI systems using AWS and GenAI, ensuring compliance with complex requirements in the insurance sector.
Procom’s solution: Procom provided an AI Architect with expertise in AWS, SageMaker, and GenAI technologies to create scalable, secure AI systems that met the client’s needs for compliance and efficiency.
Outcome: The recruitment cycle was reduced by 60%, the project launch was accelerated by 4 weeks, and system scalability and security were significantly improved, making the infrastructure more robust and future-proof.
5. Scalable automation solutions: Automation Engineers
Client challenge: Stemcell Technologies Canada Inc. required scalable automation solutions to support the transition from development to production. The client needed expertise to improve operations and scalability across their systems.
Procom’s solution: Procom deployed Automation Engineers skilled in Robotic Process Automation (RPA) to design and implement scalable, reusable automation models using platforms like Automation Anywhere.
Outcome: Operations were streamlined, costs were reduced, scalability was enhanced, and project delivery timelines were improved, boosting efficiency across business functions.
A trusted partner for AI and automation talent delivery
From AI system optimization and ML integration to governance framework development and scalable automation solutions, Procom delivered the right talent to address complex challenges across various sectors.
The results were clear: AI systems were optimized, cloud-based platforms were deployed successfully, governance frameworks were developed, and automation systems improved operational efficiency.
In the world of AI, where precision, speed, and technical expertise are essential, Procom ensures the right AI and automation talent is in place exactly when it’s needed.
Across these engagements, Procom’s impact extended beyond individual placements. By aligning talent to the full AI and automation lifecycle, from early usability and integration through governance, scale, and long-term operation, Procom helped clients move from isolated initiatives to sustainable delivery. This lifecycle ownership ensured that speed did not come at the expense of control, and that short-term execution translated into long-term enterprise value.
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