How Custom AI Agents Built with Copilot Studio Simplified Onboarding at a Boutique Financial Services Firm in North Carolina 

About the Company

The client is a boutique financial services firm, based in Charlotte, North Carolina. The firm specializes in wealth management and investment advisory services to HNI individuals. The firm recently expanded its operations to Raleigh, Greensboro, and Wilmington. With a growing client based and an increasing need for skilled financial analysts, the firm was looking to enhance its hiring process, with the aim of hiring and onboarding the right talent. 

The Hurdles in Hiring  

The firm faced multiple challenges in its hiring and onboarding process, which prolonged the process of recruitment. Here are some of the key challenges that they faced: 

Inefficiencies in Creating Job Description : Since the firm served a specific clientele, they needed to hire people with a very specific skillset. However, hiring managers often faced challenges in creating the right job description and had to rely on members from other teams. This delayed the process. 

Time-Consuming Assessment Process : The client received hundreds of CVs for every single position. They wanted to give everybody a fair chance and hence, they needed to scan through each one of them. As expected, this was time consuming. 

Lack of Insights from Group Discussions : Group discussions formed an important part of the interview process. However, assessing the contributions of individual candidates was difficult as they didn’t have any method to track them.  

Why Did We Choose Copilot Studio? 

After engaging with the stakeholders, we were able to identify a solution where an AI agent was to be developed by leveraging Microsoft Copilot Studio. This provided us with an easy, effective and quick-to-deploy solution.

Here are some of the key advantages offered by Copilot Studio: 

1. It enabled us to quickly create and deploy a customized AI agent that is perfectly aligned with the processes and requirements of the client. 
2. Since the client was already using Microsoft applications like Teams, Outlook, and SharePoint, Copilot could seamlessly integrate with them. 
3. AI agents created using Copilot had excellent Natural Language Processing (NLP) capabilities which made it possible to accurately process plain text commands and extract information from various sources. 

How Did the Custom Copilot Agents Work? 

We designed, developed and deployed a custom AI copilot agent by leveraging the Copilot Studio that radically transformed the hiring and onboarding process for the client. The solution had three core capabilities: 

1. Automated Job Descriptions – The AI agent was trained to analyze the role requirements, company needs and industry trends to draft precise and customized job descriptions. 
2. Resume Shortlisting – The customized agent also scanned resumes and categorized candidates based on a predefined criteria as set by the client. This enabled quick and unbiased shortlisting 
3. Group Discussion Tracking – During Teams-based Group Discussion Sessions, the AI agent transcribed conversations, identified and tracked contributions made by each candidate. This gave the hiring managers an easier and more effective way to assess the performance of the candidates. 

The Process We Followed 

Since the client wanted minimal downtime, we followed a streamline process to implement the solution by using Microsoft Copilot Studio. Here is an overview of the process we followed.   

1. Needs Assessment – The project was kicked off by having extensive discussions with various stakeholders, especially the HR team to understand their specific needs and establish the Key Performance Indicators (KPIs) 
2. Designing the AI Agent – We set up the Microsoft 365 Copilot Studio environment and build the AI agent, based on the needs of the client. Our team also trained the AI model to make it capable of delivering the desired performance. 
3. Integration with Existing Systems and Processes – The AI agent was embedded in Microsoft Teams, Outlook and other applications, so that it can track interviews and be used for hassle-free communication. 
4. Testing – After the agent was integrated, we rigorously tested the platform against all possible scenarios. All detected issues were immediately resolved. 
5. Deployment and Training – Once the agent was successfully tested, we deployed the solution. The HR team and other employees were also trained in using the AI agent effectively. 

How the AI Agent Simplified Hiring and Onboarding Process? 

After the implementation of the custom Copilot agents, the HR team was able to simplify the hiring process. Here are some of the results that the client was able to achieve. 

Reduced the Time Taken to Draft Job Descriptions – With the help of the Copilot agent, HR managers can now quickly generate accurate and high-quality job descriptions, in significantly less time. 

Reduced the Time Taken for Shortlisting Candidates – The AI agents were also able to significantly reduce the time taken to shortlist candidates. This made the entire recruitment process faster. 

Made Interview Tracking More Efficient – The candidates were more efficiently tracked throughout the entire interview process, and this made the team able to identify the right candidates. 

The AI agent developed by Evolvous played a significant role in making the recruitment process more efficient. They were now able to hire the right talent at significantly less time and build a stronger team that drove their growth ambitions.