Handled interactions
Calls, messages, records updated, or other system events. Useful for operations—not proof of incremental revenue.
EVIDENCE / PROOF STANDARD
A credible case study
starts with a baseline.
Mavenu does not publish invented customer results or equate every AI interaction with incremental revenue. Here is how a future deployment should be evaluated.
MEASUREMENT DEFINITIONS
Separate activity,
influence, and results.
Booked next steps
Qualified contacts, bookings, attendance, and accepted estimates. Connect each result to the source record.
Sales and collection
Documented sales and, where accessible, collected revenue. Disclose when records are incomplete or provisional.
AI contribution
Distinguish direct AI conversion, AI-assisted outcomes, and revenue merely occurring after an AI touch.
What might have happened anyway?
Use a suitable pre-period or comparison group when feasible; note demand, seasonality, staffing, campaigns, and small sample sizes.
Contribution economics
Include platform usage, service fees, labor, refunds and relevant costs when presenting a business case.
CASE STUDY TEMPLATE
Publish evidence,
not decorative numbers.
Case studies should use an identified period, qualifying population, intervention, measurement method, outcome, limitations, and client authorization. No fabricated testimonials or logos.
Full measurement framework ↗Required case-study fields
- Client and disclosure permission
- Industry, geography, locations and period
- Pre-deployment baseline and source
- Exact workflow and eligible cohort
- Leads → contacts → bookings → sales
- Gross vs collected revenue distinction
- Method, caveats, and costs
- Client approval of final publication
CURRENT EVIDENCE STATUS
Public client results are not presented here yet.
Mavenu will add documented case studies only when results are verified and publication is authorized. In the meantime, the workflow explorer and calculator are illustrative learning tools, not examples of deployed client outcomes.
Discuss a measurable pilot ↗