Upload your sales pipeline and see exactly where revenue is leaking, which deals need rescue, why, and what action to take next — with the evidence behind every finding.
CSV pilot — no CRM integration required Evidence behind every finding Recoverable values are estimates, not guarantees
Revenue at Risk
€0
Recoverable Revenue
€0
Recovery Rate
0.0%
Critical Leaks
0
Illustrative figures from the RevenueLeak AI demonstration dataset.
Paid pilot
Send a CRM pipeline export and receive an explainable audit of where revenue is at risk and which open deals deserve intervention first.
Estimated recoverable values are planning estimates based on visible assumptions. They are not guaranteed revenue or proof of causation.
Controlled pilot
€299
One-time Revenue Recovery Audit
Buy €299 Revenue Audit See sample-data demoSecure one-time payment is processed by Stripe. After payment, pilot onboarding and CSV handoff are confirmed manually.
Product
RevenueLeak analyses the sales pipeline you already have. It flags missed follow-ups, stalled opportunities, discount leakage and descriptive lost-deal patterns, then shows the exact evidence and a prioritised next action.
Rule-based analysis surfaces pipeline risks from the fields in your CRM export, with the exact evidence behind every finding.
Every finding carries revenue at risk, an estimated recoverable value and the assumptions used, so managers can challenge the numbers line by line.
Findings become a prioritised plan with owners, effort, due dates and tracked recovery — not another dashboard to admire.
How it works
Export your opportunities from the CRM to CSV. No live CRM connection is required for the pilot.
RevenueLeak validates the rows and applies transparent rules for follow-up, deal risk, discounting and lost-deal patterns.
A prioritised Deal Rescue plan shows what needs attention. Secured revenue is recorded only when a manager confirms it.
Industries
Outcomes
Recovery figures are modelled from your own operating data and benchmarked against your best performing teams — not against industry claims.
Leakage visibility
100%
of analysed revenue processes mapped to an owner
Time to first finding
< 1 day
from a single CSV or warehouse extract
Recovery rate modelled
60–75%
illustrative — from sample data, not customer results
Reporting currency
EUR
consistent across regions and business units
Board-ready quantification
Every euro is traceable to a volume, a rate and an assumption you can challenge.
Operational transparency
Teams see process gaps framed as coaching opportunities, not as blame.
Executive reporting
A one-page executive report with methodology, assumptions and a 90-day projection.
Security & governance
Analysis is designed to run on aggregated and pseudonymised operational data wherever the use case allows.
Granular roles separate executive reporting, analyst investigation and administrative configuration.
Findings, status changes and exports are recorded so decisions can be reconstructed later.
Data is encrypted in transit (TLS). Workspaces are isolated by row-level access rules.
Only the fields required to quantify a leak are ingested; free-text content can be excluded.
EU-region hosting and single-tenant deployment are on the roadmap, not yet available.
RevenueLeak AI does not claim any third-party certification or regulatory accreditation. Security characteristics described here reflect product design intent and deployment options, and would be confirmed contractually and through customer due diligence.
Open the demonstration environment, pick your industry and walk the full detection-to-recovery story in under five minutes.
FAQ
No. RevenueLeak analyses a pipeline export and acts as a revenue-intelligence layer.
No. It is an estimate based on visible assumptions. Actual secured revenue is only recorded when a manager confirms it.
No. The controlled pilot starts with a CSV export, up to the product's current import limits.
No. The current real workspace uses deterministic, explainable rules and shows the evidence that triggered each finding.
Yes. We recommend removing unnecessary personal data and anonymising customer identifiers when practical.
Initially, B2B sales teams with enough pipeline volume for missed follow-ups, stalled deals or discount leakage to matter financially.