Job application processes often fall short of meeting the needs of both applicants and employers. This session will explore the development and implementation of autonomous agents designed to automate and enhance job application workflows, making the process more efficient and less stressful for everyone involved.

Imagine an agent that preps the applicant beforehand and provides feedback on their application. The autonomous agent could read the application description and instructions from the employer, offering feedback to the applicant before the application is even submitted. It would then rate the applications based on how well they meet the criteria. Additionally, the agent saves applications, CVs, and other materials into a repository, organizing them for the employer.

For job-related questions, a chatbot could read from a job position database. If there is no answer or the applicant is not satisfied with the response, the agent would ask the person responsible, add the answer to the database, and provide it to the applicant. This way, the person responsible only needs to answer certain questions once.

The solution leverages Copilot Studio, Autonomous Agents, Dataverse databases, Teams actions, email reading and replies, AI orchestration, and more. This solution can be adapted to any situation where a responsible person needs to manage many written applications meeting specific criteria and answer questions. Once built, it can be generalized to handle multiple topics and applications across various channels.

Key Takeaways:
- Building Autonomous Agents: Learn the steps to develop and implement autonomous agents.
- Database Integration: Understand how to read database data to identify application specifications that need attention.
- Effective Communication: Discover how to ask questions from all participants in the process and record their replies in the correct context.
- Multichannel Service: Explore how to offer multichannel services to trigger autonomous agents.
- Applicant Feedback: Learn how to provide valuable feedback to applicants, helping them fine-tune their applications to meet requirements.