CodeSignal's New Agentic Skills Intelligence Validates Employee Skills From the Work They Actually Do

As six in 10 managers say they make critical talent decisions based on guesswork, new capabilities validate skills from the work employees already do, not inferred data, then help close gaps with personalized practice and coaching

SAN FRANCISCO, Oct. 28, 2026 /PRNewswire/ -- CodeSignal, the leading agentic skills intelligence platform built on more than a decade of assessment science, today announced the general availability of Agentic Skills Intelligence, giving organizations a validated view of skill proficiency across their workforce, and the ability to close skills gaps with contextualized learning practices.

Rather than inferring what employees can do from keyword scraping or self-rating, CodeSignal's specialized agents evaluate work from systems employees use every day, such as Gong, Salesforce, GitHub, Cursor, Claude, ChatGPT, Workday, Greenhouse, and Google Workspace. They score that work against structured rubrics grounded in industrial-organizational psychology, the same scientific rigor behind the more than 21 million skill evaluations completed on CodeSignal. The result is a living, validated skills profile for every employee.

CodeSignal's Agentic Skills Intelligence gives leaders:

• A validated skills profile for every employee, continuously updated from real work rather than performance reviews, self-ratings, or course completions
• A clear view of skills gaps in the organization that could impact critical projects and company initiatives
• Development that closes those gaps, with contextualized learning practices from Cosmo, CodeSignal's agentic tutor, instead of generic video courses
• Real-time insights on how jobs are changing, based on the skills and competencies top performers actually demonstrate in their work, not job descriptions
• Defensible ROI and proof of progress, tracking whether skills actually improve so leaders can show the impact of AI and learning investments
• Market intelligence on real-time hiring trends, including in-demand skills, top roles, pay bands, and where demand is growing

Agentic Skills Intelligence is built to connect with the systems organizations already run, from talent and HR platforms to productivity and learning tools. With CodeSignal's MCP server, teams can also ask questions of their skills and jobs data from the AI assistant of their choice, getting answers without leaving the tools they work in every day.

"In the AI era, leaders need to understand not just what skills they can infer their people have, but what people can demonstrate," said Josh Bersin, global industry analyst and CEO of The Josh Bersin Company. "CodeSignal adds evidence of proficiency, how well people apply skills in their work, and connects it to personalized development. That helps leaders make better decisions while giving employees a clear path to grow."

Investment without visibility

New CodeSignal research shows how wide the gap is between investment and visibility:

• Six in 10 managers say they make critical talent decisions based on guesswork
• 84% of organizations expanded AI software investments and 79% increased AI training over the past year, yet 79% cannot measure the ROI of that spending
• Two-thirds (66%) of employees say their skills have never been formally assessed

"Every leader is being asked hard questions about their business right now. Is our AI investment paying off? Do we have the skills to hit our goals? Who's ready to lead the next big project? Too often the answer is a guess based on weak data signals," said Tigran Sloyan, CEO and co-founder of CodeSignal. "We built Agentic Skills Intelligence because the people decisions that matter most deserve real data. Now leaders can practice what I call skillspotting at scale: seeing what their people can actually do, based on the work they're already doing, and giving every employee a clear path to build the skills they need next."

Common use cases

• AI transformation: Measure whether AI investments are turning into better work. A CEO spending heavily on AI can see not just who is using it, but who is using it well and who needs help getting there.
• Upskilling: Scale coaching to every individual to build a higher-performing team. A sales leader can see who has mastered the pitch for a new product, while tailored practice reaches the reps who need it.
• Critical initiative resourcing: Find the talent you need to staff business initiatives. An engineering leader can find people with the right skills for an urgent project and pull together a strong group in days instead of weeks.
• Strategic planning: Make confident workforce decisions with skills data leaders can trust. A leadership team planning for next year can see where to develop current employees, where to hire, and where AI tools can help teams get more done.

Organizations can see Agentic Skills Intelligence in action at codesignal.com/skills-intelligence.

About CodeSignal

CodeSignal helps companies build the skills to succeed now, and adapt as the future of work changes. It's the agentic skills intelligence platform, built on a simple belief: the biggest decisions about people should rely on proof, not proxies. For years, talent has been judged by resumes, titles, self-ratings, and inferred data, sources that only hint at what someone can really do. CodeSignal measures real skills through rigorous simulation-based assessments and in-depth evaluation of people's actual work.

CodeSignal spans the full talent journey, from hiring assessments and AI interviews to hands-on skills development and workforce planning. With skills intelligence that measures work as it happens, leaders see where their teams stand, what to coach next, and where to plan ahead. It's why companies like Capital One, Meta, and Dropbox, along with millions of people building their own skills, have made CodeSignal the standard for measuring what's real.

To learn more, visit www.codesignal.com or connect with CodeSignal on LinkedIn.

SOURCE CodeSignal