The organisation runs HR functions for enterprise clients: a constant flood of repetitive support queries — leave, benefits, onboarding, payroll — alongside demanding hiring coordination across managers, candidates, and internal teams. The volume was manageable; the pattern was the problem. Specialists spent most of their time on questions with known answers that needed specialist access, not judgment, while hiring threads — JD approvals, scheduling, feedback, offers — ran on email and manual follow-up. Because this is people data, residency, masking, and a clear audit trail were non-negotiable, ruling out generic consumer AI.
Ariviti deployed two governed workflows on TurfAI with on-premises deployment so sensitive people data never left the environment. HR support: queries classified by type and intent, known-answer queries resolved automatically from the organisation's own policy documentation with PII masked before anything reaches a model, and judgment cases routed to a specialist with full context pre-loaded. Hiring orchestration: JD generation from briefs, calendar-integrated scheduling, feedback collection, and template-based offer generation, with the HR team approving at each milestone. Integration was via API into the existing HRIS — no migration. Delivered through Ariviti's Virtual Technology Office (VTO) model, deployed to the organisation's governance standard and accountable through go-live.
10× productivity improvement across HR support and hiring. Live in production, deployed on-premises, with specialist time reallocated to advisory work and hiring cycle time reduced.
