A real client and lead record for every relationship your business runs, with lead stage tracked through a defined pipeline instead of a spreadsheet column nobody updates.
Every new lead runs through a GSTIN checksum check and a fuzzy match against existing leads before it's saved, so a re-entered or mistyped duplicate gets caught immediately instead of quietly duplicating the pipeline.
A lead's stage is updated as it actually progresses; moving it to Lost requires recording why, so pipeline history stays a real record instead of leads just disappearing.
convertLeadToClient turns a Won lead directly into a real Client record -- no re-typing the same contact details into a second system.
Meetings and follow-up reminders are logged directly against the lead or client, so the next touchpoint is visible without leaving the record.
Every client gets a deterministic 0-100 health score, deducted for real reasons only -- overdue invoices, projects on commercial hold, overdue milestones, or a buildup of open support tickets -- each one listed, never an opaque AI judgment.

The pipeline board, showing real leads moving through New, Contacted, and Qualified stages.
What an Industry Cloud actually is, how it differs from generic SAVHN modules, and exactly which of the 22 real, built industries are actually supported today.
How AI Studio, AI Assistant, Manager Copilot, and Business Brain actually work in SAVHN — including the honest real-or-placeholder pattern behind every AI response.
How SAVHN onboarding actually works — what setup takes, how organizations and roles are structured, and exactly what you need ready before you start using it.
A step-by-step manual for adding a new department to an existing SAVHN organization, covering creation, role assignment, module access, and follow-up.
A practical manual for setting up recurring reports and executive dashboards in SAVHN so leadership gets real visibility without anyone manually compiling it.
A step-by-step manual for building, testing, and rolling out your first SAVHN automation workflows, covering common patterns, testing discipline, and pitfalls to avoid.
Enterprise deployment, workflow design, and data migration — talk to the team that builds it.