01
Capture
Identify inquiries and calls that never enter an accountable sales process.
GIRI Advisory Group / Flagship Practice
The Revenue Recovery System
Identify, quantify, prioritize, and address preventable economic leakage across the customer and revenue lifecycle.
The problem
Revenue leakage hides inside ordinary operations.
Businesses spend heavily to generate demand, yet value can disappear between inquiry and response, quote and close, customer and renewal. Revenue Recovery is a structured discipline for finding those losses before simply buying more traffic.
02
Respond
Reduce losses caused by delayed contact, routing failures, and weak escalation.
03
Close
Recover value from estimates, proposals, and opportunities that stall without structured follow-up.
04
Retain
Reactivate dormant customers, protect renewals, and improve recurring-revenue retention.
The GIRI framework
Four domains. Twelve dimensions.
A broader model that extends beyond missed calls and estimates into customer value, financial recovery, revenue intelligence, and execution capacity.
Customer Revenue Recovery
Lead Capture · Missed Calls · Speed-to-Lead · Appointments · Estimates & Proposals · Pipeline
Customer Value Recovery
Customer Reactivation · Retention & Recurring Revenue · Referral, Cross-Sell & Expansion
Financial Recovery
Accounts Receivable & Payment Recovery—revenue earned or due but not efficiently collected.
Intelligence & Execution
Revenue Intelligence & Leakage Detection · Capacity & Capital Constraint Analysis
Lead Capture
Demand that never enters an accountable process.
Missed Calls
Qualified callers lost through unanswered or abandoned calls.
Speed-to-Lead
Opportunity lost through delayed response and routing.
Appointments
Booking abandonment, cancellations, no-shows, and unused capacity.
Estimates & Proposals
Unclosed work without disciplined follow-up.
Pipeline
Stalled, aging, forgotten, or poorly owned opportunities.
Customer Reactivation
Eligible dormant customers and past opportunities.
Retention & Recurring Revenue
Renewals, memberships, agreements, subscriptions, and churn.
Referral & Expansion
Repeat purchase, cross-sell, referral, and expansion opportunities.
AR & Payment Recovery
Revenue earned or due but not efficiently collected.
Revenue Intelligence
Measurement that makes leakage visible and actionable.
Capacity & Capital Constraint
People, equipment, inventory, systems, or capital preventing execution.
Methodology
Diagnose before you automate.
The system begins with economics and process evidence. Technology is introduced only when it serves an identified operating problem.
01
DIAGNOSE
Map the customer lifecycle and establish baseline leakage.
02
QUANTIFY
Estimate the financial significance of each opportunity.
03
PRIORITIZE
Rank recovery opportunities by value, evidence, and feasibility.
04
IMPLEMENT
Build workflows, controls, integrations, and selected automations.
05
MEASURE
Track performance against the agreed operating baseline.
06
OPTIMIZE
Improve the system as real operating evidence accumulates.
Engagement model
Audit. Install. Manage.
The commercial model is designed to move from diagnostic clarity to implementation and ongoing performance improvement.
Revenue Recovery Audit
Map the customer journey, establish baselines, identify leakage, quantify opportunity, and prioritize actions.
Revenue Recovery Installation
Implement selected workflows, integrations, follow-up systems, controls, and automations.
Revenue Recovery Management
Monitor performance, optimize workflows, and continue identifying high-value recovery opportunities.
When capital becomes the constraint
Capital is an enabler—not recovered revenue.
If a credible recovery opportunity cannot be executed because of people, equipment, inventory, systems, or working-capital constraints, qualifying businesses may explore independent third-party funding options. Borrowed capital is not counted as recovered revenue.
Start with diagnosis
Find the leaks before you buy more growth.
A Revenue Recovery Assessment helps determine whether the opportunity is large enough to justify deeper implementation.