The future of work is here, and it’s powered by artificial intelligence. For talent teams, AI offers innovative and time-saving solutions for finding and hiring the best people. In fact, over 80% of companies are planning significant investments in AI-driven hiring solutions this year. With so many tools available, however, many talent teams don’t know where to start.
This visual guide outlines a path for your team to get started with AI, no matter your goals.
Assessing your level of AI readiness
Before adopting AI solutions, reflect on your team’s goals and current state. The right starting point depends on your team’s AI readiness and goals. There are three main approaches you can take:
- Measured approach: Your goal is to minimize risk and understand what skills candidates can demonstrate without AI tools. This is ideal if you’re worried about candidates using generative AI tools to complete pre-hire assessments.
- Exploring AI: You’re looking for new ways to integrate AI into your hiring processes to get a stronger signal of a candidate’s skills and boost your team’s efficiency.
- Transforming with AI: You’ve already adopted AI as a core business strategy and are ready to scale AI tools and training across your entire organization.
What to do first
How you get started with AI tools for hiring will depend on your chosen path.
Measured approach
First, decide whether you need to prohibit candidates from using AI tools in pre-hire assessments and interviews. This is crucial for roles where candidates must demonstrate unassisted skills, such as a data analyst working with sensitive financial data or a cybersecurity analyst who needs to independently mitigate threats. It’s also important for roles where creativity and originality are key, like hiring a senior graphic designer.
Exploring AI
Begin by identifying your team’s current pain points. Ask questions like: Are recruiters struggling to screen a high volume of applicants? Are the wrong candidates advancing in the process? Are hiring managers spending too much time on interviews or manual assessment grading? Answering these questions will help you select the right AI tools to solve those problems.
Transforming with AI
If you’re ready to transform your hiring processes using AI, start by leveling up your organization’s foundational AI literacy and skills. This helps to dispel fears about the technology and enables your team to make the most of AI tools in their daily work. A good way to do this is with learning paths aligned to how employees can leverage AI in their jobs.
What to do next
For your next step, you’ll implement and scale AI tools that align with your team’s goals.
Measured approach
If you’ve decided to prohibit AI use, the next step is to adopt a solution that prevents and detects AI usage. Look for hiring platforms that allow you to clearly communicate AI policies and have candidates consent to them. The platform should also have features like disabling the ability to paste text to prevent copying from AI tools like ChatGPT. For detection, look for solutions that evaluate typing patterns and flag common indicators of AI usage. Human and AI-assisted proctoring can also monitor browser activity and detect unauthorized resources.
Exploring AI
Once you’ve identified your pain points, adopt AI tools that address those challenges.
- If your team struggles to screen a high volume of applicants at the top of the funnel, consider AI-native skills assessments or AI-powered interviews. To ensure the right candidates advance, use job simulations that mimic what they’ll actually do on the job.
- To save time on interviewing and grading, leverage AI assessment scoring to provide deep insights into candidate skills, even for hard-to-assess soft skills like communication and problem-solving. Best-in-class AI tools can analyze code quality for technical roles or assess communication skills for business positions.
Transforming with AI
After building your team’s skills in leveraging AI, your next step is to train your interviewers using AI. This helps recruiters and other interviewers get up-to-speed faster and with fewer resources. Look for solutions that provide hands-on practice in real-world interview simulations, offer immediate feedback from an AI tutor, and are designed for scalable learning to train entire teams.
The best time to start is now
Talent teams are in a great position to shape the future of AI in hiring. The key is to assess your readiness and goals, and then implement solutions that align with those goals. By following this guide, you’ll be well-positioned to lead your organization with a future-ready approach to AI adoption.
Learn more about CodeSignal’s AI-native hiring and learning solutions by scheduling a call with us today.