AI for revenue-leakage detection
B2B AI software that finds billing anomalies and contract underpayments to improve net revenue retention.
- 01 / Sourced12,000
Enterprise sourcing records
Raw records before cleanup, including duplicates, bounced contacts and records rejected by the agent system.
- 02 / Qualified410
RevOps heads / CFOs
Finance operators managing fragmented contract terms.
- 03 / Met18
Attended meetings
Qualified finance conversations completed in 60 days.
- 04 / Converted10
Signed customer contracts
Commercial contracts signed with the startup for platform migrations.
Client-signed agreements
Sourced totals include duplicates and rejected records. Stage totals are not conversion rates.
Why these buyers?
Enterprise billing migrations and ERP modernization projects identified finance teams dealing with fragmented systems and contract terms.
Give them a reason to meet.
Outreach mapped the billing discrepancies that can emerge between databases during a migration. CFO conversations focused on transaction-tracking gaps in their migration structure.
From the first record to the next step.
- Arshadify delivered
- Research, contact checks, campaigns, meeting notes and next steps.
- The client approved
- RevOps heads and CFOs matching the client-approved buyer profile, with evidence of billing migrations and fragmented contract terms. Client-approved criteria and evidence.
- How meetings were booked
- On the client’s calendar. Results count attended meetings.
- Who led the buyer calls
- The client led every call, demo and negotiation. Arshadify did not join buyer calls.
- Why the client is anonymous
- An approved anonymized profile, protected by NDA.
- What “converted” means
- A signed contract or pilot, not confirmed revenue or deployment.
Commercial results belong to the client. Revenue, pipeline, dates and countries are not verified for publication.
ILLUSTRATIVE ONLYSample dates, geography and deal value
This is a fictional reporting example, not this campaign’s historical record. Dates, countries and values are illustrative.
- Sample campaign dates
- 1 August to 29 September 202660 calendar days, inclusive
- Sample buyer countries
- United States and Canada
- Hypothetical signed value
- US$120,00010 annual contracts × US$12,000
- What the sample measures
- First-year signed contract value in this hypothetical example.Not collected revenue or estimated pipeline. Neither is assumed in this example.