Hire7C · SaaS · AI-powered recruitment · São Paulo
Hire with purpose. Decide with evidence.
A digital product developed by MXMO. Hire7C structures responses, identifies evidence and prepares interviews using the Seven Pillars Method, with human review and decisions.
→Hire7C · illustrative presentation · AI recruitment and human decisions
Context
Candidate responses, notes and interview impressions can become scattered, making it harder to compare people against the same criteria.
Hire7C organizes this material so recruiting teams can see what is supported by evidence and what needs further discussion.
Decision
MXMO developed a product where AI prepares the pre-selection work while people remain responsible for reviewing and deciding.
The Seven Pillars Method combines two gates, five dimensions and twenty-one signals. Findings show evidence, gaps and confidence; missing information does not automatically become a low score.
The experience connects the review queue, supporting evidence and interview preparation, preserving the context of each application.
Build
An evidence-led recruitment journey:
- ·Structured forms for each role and organized candidate responses
- ·Review queue with analysis status, open questions and next actions
- ·Cited evidence distinguishing declared, demonstrated and verified information
- ·Seven Pillars Method: Integrity, Reputation, Vocation, Alignment, Collaboration, Capability and Outcomes
- ·Candidate comparison against the professional criteria of the role
- ·Interview questions to explore gaps in the evidence
- ·Human review, recorded decisions and process history
- ·Detailed PDF reports, CSV summaries and credit-based access
Outcome
- →Public product available at hire7c.mxmo.com.br with its own identity and methodology.
- →Teams receive structured responses, evidence and interview questions in a connected workflow.
- →People record whether to advance, hold or reject an application, preserving the reason in the process history.
Why it matters
Hire7C demonstrates how MXMO turns methodology, design and artificial intelligence into a digital product. Technology organizes the work and makes information verifiable while preserving human responsibility for hiring.