Agentic AI reads the entire resume to find the stories that fit
Two candidates can have the same skills, similar job titles, and comparable years of experience, yet one resume can tell a very different story. The difference may be in how the candidate used those skills: listening to customers before shaping a solution, bringing people together around a difficult outcome, or applying technical knowledge to a business problem. These details only emerge when someone reads beyond the matching keywords.
Mosaic acts like an assistant that reads the resumes for you, comparing each candidate's experience with what the job actually calls for. It looks at the skills and titles, but also at how the work was done, the situations described, and the outcomes connected to it.
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Agentic AI reads resumes to surface great candidates
As application volumes grow, recruiting teams need a clear view of qualified people without losing the detail that makes each candidate unique. Mosaic helps surface relevant experience, supports thoughtful shortlists, and gives recruiters more time to connect with candidates and fill open jobs.
Mosaic uses resumes and job descriptions as its source material, looking beyond isolated keywords to understand skills, roles, credentials, and how they relate to a person's experience or a job's requirements. It compares that context to help recruiters understand the candidate fit and review the evidence behind a match.
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Chat with our own AI recruiting assistant
When a shortlist is ready, recruiting teams and hiring managers need a clearer picture of each person's strengths. Mosaic helps them explore finalists in more detail, discuss transferable skills, and prepare for informed hiring conversations.
The AI recruiting assistant uses text from the selected candidates' resumes and the job description to answer questions in natural language. It can compare experience against a role, discuss potentially transferable skills, and respond to follow-up questions.
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AI identifies mobility and upskilling opportunities from a resume
Internal talent can bring valuable experience to an open role that a current job title alone may not reveal. Mosaic helps recruiting leaders recognize transferable experience, support employee career growth, and retain people who already know the organization.
Mosaic compares the experience described in employee resumes with the requirements in job descriptions, including how skills and roles relate and how each was used. That context helps recruiters explore potential matches and identify skill gaps that may inform upskilling conversations.
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AI generated job descriptions that attract the right applicants
Clear job descriptions help candidates understand an opportunity and help hiring teams communicate what matters in a role. Mosaic supports recruiters and hiring managers with a faster way to develop a compelling first draft.
The AI recruiting assistant creates a draft from the role details and experience provided by the team. Recruiters can refine the description through follow-up requests and review it before publishing.
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AI crafted emails that get responses
Personal communication helps recruiting teams build relationships while managing a busy pipeline. Mosaic supports relevant outreach and follow-ups, giving recruiters more time for conversations with candidates and hiring managers.
The AI recruiting assistant drafts messages using the available candidate resume, job description, and the recruiter's instructions. Recruiters can request revisions and review the message before sending it.
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Q&A Chat for HR documents
Employees need an accessible way to find information about company policies, while HR teams need time for questions that require personal attention. Mosaic makes handbook information easier to navigate and can reduce repetitive inquiries.
Employees can ask questions in natural language. Mosaic finds relevant passages in the company's HR document and uses them to respond, taking the conversation into account when a person asks a follow-up question.
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| Mosaic | ATS A | ATS B | ATS C | |
|---|---|---|---|---|
| Reads for nuance and meaning | Reads the full resume for context, meaning, and nuance | Doesn't do it | Doesn't do it | Doesn't do it |
| Skills and entity matching | Uses resumes and job descriptions as source material, looking beyond isolated keywords to understand skills, roles, credentials, and how they relate to a person's experience or a job's requirements, customized per company | About 5 skills per job search; looks only for those skills in the resume or job | Limited choice; looks only for selected skills in the resume or job | Limited choice; looks only for selected skills in the resume or job |
| Example: "pastry chef" vs. "works with a pastry chef" | Two résumés mention a pastry chef. Mosaic tells apart the candidate who is a pastry chef from the one who works with one, so if hands-on pastry experience is a must-have, only the first candidate matches | Both résumés match on the skill "pastry chef" | Both résumés match on the skill "pastry chef" | Both résumés match on the skill "pastry chef" |
| Chat with the shortlist | Ask generative AI questions about each candidate. Create emails, prepare for conversations. | Doesn't do it | Doesn't do it | Doesn't do it |
| Limits | No grade ceiling; evidence behind each match | Results sorted into 3 tiers; about 300 of 500 in the top tier, all reviewed by hand | Results sorted into 4 tiers; about 200 of 500 in the top tier, all reviewed by hand | Results sorted into 4 tiers; about 200 of 500 in the top tier, all reviewed by hand |
| Setup and upkeep | Automatic: Mosaic builds each job's matching from the job description. Customizable per company, with nothing for recruiters to maintain | Manual: recruiters choose and maintain the skills for each job | Manual: recruiters choose the skills for each requisition | Manual: recruiters add the skills to each requisition |
| Time to set up a job | Automatic | Recruiter chooses the skills for each job | Recruiter chooses the skills for each requisition | Recruiter adds the skills to each requisition |
| Time to review the top 4 out of 500 (about 40 seconds per resume) | 15 resumes chosen, about 10 minutes to read | 300 resumes, about 3 hours 20 minutes to read | 200 resumes, about 2 hours 12 minutes to read | 200 resumes, about 2 hours 12 minutes to read |
AI Powered Job Matching
AI-assisted matching helps recruiting teams identify candidates for open positions.
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- $1.75 per employee
- $35 per open job
- $1.50 per employee
- $30 per open job