CUSTOMERS

Results from early adopters.

Case studies and pilot results from teams running governed AI, CoSarathi for Work on their most critical journeys, CoSarathi for Edge across their sites, and CoSarathi for Agents in their own products.

CASE STUDY 01
[Enterprise SaaS company]
Enterprise SaaS · 850 employees

Sales and Support cut coordination time in half.

CHALLENGE

Manual follow-up across Sales and Customer Support meant leads went cold and cases stalled.

SOLUTION

Deployed CoSarathi.ai across Sales and Customer Support functions. Began with five Business Atomic Journeys; expanded to 22 within 90 days.

IMPACT
40%
Faster journey completion
6 hrs
Saved per employee/week
70%
Fewer missed follow-ups
CASE STUDY 02
[Multi-campus University]
Multi-campus University · 8,000 students

Admissions team scaled through peak intake without adding headcount.

CHALLENGE

11,000 enquiries per intake season with inconsistent follow-up and slow document processing.

SOLUTION

Deployed Admissions CoSarathi and Academic Operations CoSarathi. Journeys included enquiry capture, counselling slot booking, document verification, and offer letter generation.

IMPACT
2.3×
First-response speed
+38%
Counselling-to-enrolment
365
Days of audit-ready evidence
CASE STUDY 03
[NSDC-aligned coaching network]
Vocational coaching · 40 centres

Lead conversion tripled with governed WhatsApp follow-up.

CHALLENGE

Batch scheduling and doubt resolution were managed manually across WhatsApp and spreadsheets. Funder reporting was time-intensive.

SOLUTION

Deployed the Batch & Doubt CoSarathi and Certification & Skilling CoSarathi across 40 centres.

IMPACT
3.1×
Lead conversion lift
52%
Faster doubt resolution
92%
On-time funder reports
CASE STUDY 04 · COSARATHI FOR EDGE
[Logistics & warehousing operator]
Manufacturing & logistics · 6 sites, 180 cameras

Incident investigation dropped from hours to minutes.

CHALLENGE

720 camera-hours of footage a day across six sites; almost nothing in it mattered until the one minute that did, and reconstructing an incident took hours of manual scrubbing.

SOLUTION

Deployed CoSarathi for Edge across loading bays, perimeters and blocked-exit zones, with edge nodes covering 20–40 cameras each and evidence-cited incident narratives replacing manual review.

IMPACT
<2s
Event to local alert (P95)
~99%
Less upstream bandwidth
72h
Full autonomy through outages
WHAT LEADERS SAY

What used to be invisible, coordination overhead, unreviewed footage, is now visible, and governed.

CoSarathi.ai brings hidden work into the open, then handles it responsibly. Human decisions stay with humans; the busywork moves to CoSarathi for Work, the watching, with proof, moves to CoSarathi for Edge, and the agent-building moves to CoSarathi for Agents.

Enterprise team
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