eva.ai transforms HR operations through automation, personalization, and predictive AI for sustainable talent management.
eva.ai transforms HR operations through automation, personalization, and predictive AI for sustainable talent management.

About the product

Main idea

AI in eva.ai primarily functions to automate repetitive HR tasks and to provide predictive recommendations by learning from recruitment and talent management processes. This integration of AI helps in processing vast amounts of data to match candidates effectively, manage engagement, and facilitate smoother onboarding and career management while maintaining operational efficiency and reducing human bias.

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eva.ai is a modular platform designed to streamline talent acquisition and human capital management through cognitive technologies. Once integrated with an organization's existing HR systems, it uses AI to automate manual tasks, such as sorting and screening candidates, thereby reducing operational costs.

The platform also leverages machine learning algorithms to provide predictive insights for job matching, career recommendations, and workforce planning. Additionally, it includes conversational AI that engages with candidates and employees in real-time to gather data, answer queries, and ensure a seamless digital experience, making the entire HR process more efficient and effective.

Key features

  • Predictive Analytics: Harness AI to predict staffing needs, candidate success, and streamline hiring strategies based on historical data.
  • Conversational AI: Deploy EVA Bot to engage with candidates and employees 24/7, providing real-time support and automating screening processes.
  • Workflow Automation: Automate repetitive HR tasks, such as candidate scheduling, data entry, and follow-ups, to boost operational efficiency.
  • People Analytics: Generate real-time analytics on workforce performance, productivity, and engagement through dynamic dashboards and reports.
  • Customizable Portals: Create engaging and personalized portals for candidates, employees, and recruiters to manage profiles, applications, and communication efficiently.
  • Integration Capabilities: Seamlessly integrate with your existing HR systems and platforms to centralize data and ensure cohesive operations.
  • Ethical AI: Utilize AI algorithms designed to eliminate bias and promote diversity in hiring and talent management processes.




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Test the skills on real cases

Potis works on automated behavioral interviews.
Candidates will be asked to give examples of how they handled situations in a real case.

Scenario environment

You are a Project Manager at Experlogix, a global software company specializing in Configure Price Quote (CPQ) solutions. You are currently leading a team of solution consultants, architects, team leads, and support team members. The company has recently acquired a new client in the life sciences industry who wants to implement the CPQ software for their complex configurable products and services. The project will involve both a waterfall-based discovery and solution design phase, followed by Agile-based modelling sprints. The client has high expectations for a seamless implementation and expects the project to be delivered within a specific timeframe and budget.

Role specificity

As the Project Manager, you are responsible for leading the project team and ensuring the successful delivery of the CPQ implementation. You have the authority to make decisions regarding project planning, resource allocation, and stakeholder management. You will work closely with solution consultants, architects, team leads, and support team members to define and develop appropriate solutions while managing expectations to deliver an incredible customer experience.",


Build your ideal assessment

Add a job description and the required skills, the service will automatically generate interview questions and create a case.

Anti cheat way to assess

Unlike online-tests, it’s impossible to prepare for behavioral case structured interview.
AI question

Clear & bias free talent scoring

Get useful information about every candidate: by hard/ soft skills, strengths and weaknesses.

01. Technical Skills:

  • Software development methodologies (e.g., Agile, Scrum, Waterfall)
  • Programming languages, databases, and other relevant technologies
  • Software testing and quality assurance
  • Software architecture and system design

02. Strengths:

  • Lead and communicate: clearly define goals, motivate teams, and resolve issues.
  • Plan and organize: keep projects on track, manage resources, and meet deadlines.
  • Solve and adapt: troubleshoot problems, manage risks, and adjust to change.

03. Weaknesses:

  • Limited technical depth: difficulty with complex technical issues or developer communication.
  • Micromanaging tendencies: stifles creativity and reduces morale.
  • Scope creep and conflict: challenges managing changing priorities and resolving disagreements.