Assumed availability
Roles are approved without checking whether the skills exist locally.
Recruitment Intelligence · Product
Plan hiring against reality.
Hiring plans often assume talent is available where and when it is needed. Market intelligence tests that assumption before a role is opened.
The problem
Roles are approved without checking whether the skills exist locally.
Requirement sets describe a profile that is genuinely rare.
Teams cannot see how hard a role will be relative to peers.
Saanvi AI journey
Analysis is qualitative and evidence-based, not invented benchmark data.
Role and location
What you intend to hire, and where.
Saanvi AI
Analyses skills, adjacency and supply signals.
Market view
Availability, competition and constraints.
Plan adjustment
Requirements, location or channel changes.
Achievable hiring
A plan the market can actually support.
Problem → Saanvi AI → intelligence → action → outcome.
What you get
Where the required skills concentrate, and where they do not.
Which combinations of skills are genuinely rare.
Profiles that can perform the role with different titles.
How difficulty changes across markets you consider.
Where this kind of talent is best reached.
Trade-offs between speed, scope and location.
How it works
Requirements, level and target market.
Understand supply and constraints.
Change scope, location or approach.
Open the role on realistic assumptions.
The difference
FAQ
Related
Surface and rank relevant candidates instead of searching manually.
ExploreSee where your funnel converts, stalls and loses candidates.
ExploreWrite accurate, inclusive job descriptions that attract the right people.
ExploreUnderstand availability, difficulty and options before hiring starts.