Turn every employee into a strategic sourcer
Referral programs rely on blast emails that most employees ignore. The best referrers are not activated, and employees cannot easily match friends to the right roles.
AI that identifies which employees are most likely to know strong candidates for each role and makes referring effortless with smart matching.
2.4M skill nodes and 18.7M relationships mapping people, jobs, and skills across your organization.
Vector-based semantic search finds the right people through meaning, not keywords.
14 specialized tools for matching, predicting, and acting on workforce data.
Connects people to roles, learning, and mentors based on skills and goals.
Policy enforcement, approval workflows, and audit trails for every AI action.
Measurable Impact
It analyzes employee skill profiles, career histories, and professional networks to identify who is likely to know people qualified for open roles. It proactively suggests specific referral opportunities.
No. The agent suggests referral opportunities based on role proximity and professional overlap. The employee decides whether to make the referral. No contact data is accessed without consent.
Traditional referral programs require employees to check a job board and think of someone. The agent flips this – it comes to the employee in Slack or Teams with a specific suggestion and a one-click referral flow.
The agent tracks the full lifecycle – referral submitted, candidate screened, interviewed, hired. Bonus eligibility and payout are managed through your existing referral program policies.
Organizations using proactive referral agents see 3-4x more referrals than traditional programs because the friction of discovering and submitting referrals is eliminated.
AI that activates the right employees with the right referral asks at the right time.