CodeSignal for AI Transformation
Know who's ready to put AI to work
See how your people apply AI in the work they already do. CodeSignal measures real skills against structured rubrics, then helps employees close gaps with practice built around their own work.
Build AI readiness from real work
See where your organization stands on AI readiness and get personalized AI training for each employee.
Agents evaluate the skill behind work your people already produce, including AI-assisted work. Rubrics grounded in I-O Psychology give you a measured view of proficiency, rather than a self-rating or a tool-usage count.
CodeSignal lets you see individual skills profiles, job-level skills profiles, and an org-wide overview of where your employees’ skills stand. Cosmo, our AI coach, automatically identifies which skills need development.
Cosmo builds tailored learning and practice from each person’s real work and skills gaps. Employees can work on a situation relevant to their job and learn new skills, with personalized coaching to help them improve.
Use continuous skills evaluation through work artifacts and job- and skills-specific assessments to ensure employees are able to learn and apply training to their daily tasks.
Measure your employees’ AI readiness
Recognize the AI skills you have and the ones you need
Find demonstrated AI skills that job titles and self-reported profiles can miss. Use them to inform staffing and development decisions for your AI initiatives.
Use genuinely helpful AI training
74% of employees say they cannot apply employer-provided AI training to their daily workflows. Use AI training that’s tailored to the individual’s job and skill level.
Prove people are doing meaningful work with AI
84% of enterprises increased AI software spending over the past 12 months, but hardly any can tell if people are using it to do work or to create cat memes. See the actual work your team is doing to incorporate AI into daily tasks.
Real teams getting real results
See how UnitedHealth Group, Brex, Instacart, and other innovators build stronger teams with CodeSignal.
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.
Josh Bersin
Josh Bersin Company
CodeSignal has helped us to manage a very high volume of candidates in our process and quickly assess their technical acumen, without using a ton of engineering hours.
Nadia Abouzaid
Head of Diversity Talent Programs
Some students are actually getting very interested in AI and coding things I'm not even asking them about, because the [CodeSignal] platform is fun.
Dr. Andrea Martin
Professor, Practice of AI and Business
skills evaluations completed on CodeSignal
years measuring skills
of organizations cannot measure return on investment from AI spend
Works where you work
Book a demo
See where your workforce stands on AI
Explore more
Build a clearer skills picture, use it to guide workforce decisions, and help people develop with practice that fits their work.
Skills intelligence
Measure skills from real work artifacts, scored against rubrics, so every skills profile is built on evidence.
Work intelligence
Turn validated skills profiles into workforce decisions, from gap analysis and internal mobility to succession planning.
Learning in context
Close skills gaps with tailored practice built around each person’s real work and the tools they use every day.
Frequently asked
questions
What is workforce AI readiness?
Workforce AI readiness is your people’s ability to use AI effectively in the work their roles require. For People and L&D leaders, that means understanding demonstrated skills, where gaps remain, and what development will help.
How can businesses evaluate AI readiness?
Start with the tasks people need to do with AI and the skills those tasks require. Evaluate evidence from real work against clear rubrics, then use the results to guide development. Adoption and course-completion data can add context, but they don’t demonstrate proficiency on their own.
How does CodeSignal measure AI skills from work artifacts?
CodeSignal’s agents evaluate people’s actual work from tools like Gong, Salesforce, GitHub, and ChatGPT against structured rubrics grounded in I-O Psychology. The resulting skills profiles give leaders evidence of where proficiency stands and help identify what to develop next.
How do employees develop the skills they need?
Cosmo uses each person’s work context and skills gaps to build tailored practice. Employees get coaching as they work through relevant situations, so development has a direct connection to the skills they need on the job.
Can we evaluate AI readiness with assessments?
CodeSignal also offers simulation-based assessments to measure skills in realistic tasks. Choose from our selection of assessments or automatically generate one with Cosmo, CodeSignal’s AI coach, to personalize it to the specific job and skills you want to measure.
How does CodeSignal prove the ROI of AI transformation?
CodeSignal gives you evidence of applied AI skills and how those skills develop over time. Use that signal alongside your own business measures to evaluate your initiatives.
Which work tools can provide artifacts?
Work-artifact examples include Gong, Jira, Salesforce, GitHub, Zoom, Google Workspace, Microsoft 365, and AI tools like ChatGPT, Cursor, and Claude.