Navero: AI powered screening and automated recruiter workflows.
We implemented AI powered screening and automated recruiter workflows inside Navero’s commercial hiring platform. CV analysis, skills assessments, candidate communication and interview preparation form a connected process, giving recruiters a shortlist with the evidence they need to make the next decision.
- Client
- Navero
- Sector
- Recruitment & HR technology
- What we built
- AI powered screening and automated recruiter workflows
- Headline outcome
- A connected hiring workflow, from screening to interview
Screening faster only helps if the evidence stays useful.
Recruiters handling large applicant pools spend time reading CVs before they can evaluate real ability. Screening, skills tests, scheduling and communication often happen in different tools, leaving hiring teams to reconstruct the candidate story.
Navero needed to move beyond basic screening into a dependable product: role specific scoring, structured assessments, integrity controls and a recruiter workspace. Commercial launch also required subscriptions, seat controls and permissions for admins, recruiters, hiring teams and candidates.
AI prepares the shortlist. The workflow moves it forward.
AI assisted CV analysis
Semantic parsing and relevance scoring pipelines assess candidates against job specific criteria and prepare evidence backed shortlists for recruiter review.
Skills screening and assessment controls
A dynamic skill test library adds structured evaluation beyond the CV. Randomised questions, time limits, browser focus tracking and response pattern flags support assessment integrity.
Automated recruiter coordination
Candidate communication and interview workflow hooks keep applicants moving through the process. Recruiters review CV scores, skills results, video responses and interview evidence in one workspace, without rebuilding the candidate history across separate tools.
The commercial product underneath
Multi tenant architecture, role based access and Stripe subscriptions provide billing, secure checkout and seat usage controls around the hiring experience.
A product that can handle real hiring workflows.
Role specific evidence
Candidate analysis is tied to the requirements of the job, with supporting evidence available to the recruiter.
Separate responsibilities
Permissions distinguish administrative, recruiter, hiring team and candidate experiences within the platform.
Launch foundations
Reusable workflows, modular architecture and staged QA support the move from an early MVP to a commercial system.
Engineering from the hiring journey outward.
We worked with Navero to map where recruiters lost time, then developed the core platform and commercial capabilities through sprints, QA reviews and staged releases.
- 01
Map the recruiter bottlenecks
Define the screening, assessment and interview journey around the hiring team’s work.
- 02
Build the connected product
Deliver candidate analysis, assessments, dashboards and communications as parts of the same flow.
- 03
Prepare for commercial launch
Add subscriptions, seat enforcement, permissions and release checks around the core experience.
Less screening administration. More evidence for the hiring team.
a monetised SaaS platform from an early MVP
CV scores, skills results and video responses in one place
assessment safeguards and role based access
A few useful
questions.
Does AI make the hiring decision?
The platform prepares candidate analysis and structured evidence for the hiring team. Recruiters and hiring managers review the shortlist and make the hiring decisions.
What did the AI implementation include?
Job specific CV analysis and relevance scoring, structured assessments, automated candidate communication and interview workflow hooks. We also built the product foundations needed to run those workflows commercially.
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From the first proof to a working implementation. We’ll explore the workflow, the systems involved and a practical first build.