Real results from
real companies
See how leading companies use Operative to automate operations and free their teams to focus on what matters.
$47M
Combined customer savings
500+
Implementations
94%
Customer retention
4.9/5
Average satisfaction
Featured stories
Ramp
Fintech
How Ramp automated 80% of expense categorization
Ramp's finance team was spending 40+ hours per week manually reviewing and categorizing employee expenses. They needed a solution that could handle nuance - knowing that 'Blue Bottle' is coffee, not office supplies.
Results
80%
Expenses auto-categorized
35hrs
Saved per week
99.2%
Categorization accuracy
3 days
Time to deploy
We tried building this internally twice. Both times we gave up after three months. Operative had it working in a week.
Sarah Kim
Head of Finance Operations
Cedar Health
Healthcare
Cedar reduced prior auth processing from 4 hours to 12 minutes
Prior authorization is the bane of healthcare admin. Cedar's team was drowning in fax-based requests, each taking hours to process. They needed automation that could handle the complexity of medical coding and insurance requirements.
Results
95%
Faster processing
$2.4M
Annual savings
12min
Avg processing time
0
Compliance issues
Healthcare AI has to be perfect - there's no room for 'good enough'. Operative understood that from day one.
Dr. Michael Torres
Chief Medical Officer
Lattice
HR Tech
Lattice handles 3x support volume without hiring
When Lattice's customer base tripled, their support team couldn't keep up. They needed a solution that could handle common questions while maintaining the personal touch their customers expected.
Results
67%
Tickets auto-resolved
3x
Volume handled
4.8/5
Customer satisfaction
90sec
Avg response time
Our customers can't tell they're talking to an AI - and that's exactly what we wanted.
Jennifer Walsh
VP Customer Success
More success stories
Mercury
Fintech
Mercury cut business account onboarding from 3 days to 3 hours
96%
Faster onboarding
3hrs
New processing time
Notion
Productivity
Notion's sales team focuses on enterprise while AI handles SMB
85%
Leads auto-qualified
2.3x
Enterprise deal capacity
Calm
Consumer
Calm personalizes meditation recommendations for 4M users
34%
Engagement increase
4M
Users served daily
Impact by the numbers
Aggregated results across all Operative customers
847,000
Hours saved annually
Across all customer deployments
73%
Average efficiency gain
In automated workflows
12M+
End users served
By Operative-built agents
42%
Average cost reduction
vs. manual processing