What we find when we look.
Every Lead2Cash engagement starts the same way: we map the process before touching anything else. What the map reveals is almost always something the business could not have articulated before it was visible. These are nine case studies: across construction, manufacturing, professional services, facility services, SaaS, e-commerce, private equity, media, and FinTech.
The billing delay nobody could explain
Industry: Commercial construction contractor, Southeast US, $18M annual revenue, 3 regional project teams
The Situation
Collections were slow and getting slower. The owner knew it. The CFO felt it every month around payroll. But nobody could agree on why. The obvious suspects — slow customers, unclear contracts, understaffed billing — had all been investigated at various points. Nothing had fixed it.
By the time they engaged Sentry Trade, average days to collect on a completed project had drifted past 52 days. Backlog was healthy. Cash timing was not.
What the Map Revealed
The Lead2Cash intake mapped the full process from contract execution to final payment collection across all three regional teams. Ring 3 surfaced two patterns that had not been visible before.
First: invoices were being generated by the billing coordinator only after receiving a signed project completion form from the site supervisor. That form was not on any formal timeline. It arrived when the supervisor got to it — typically 6 to 11 days after actual project close. The billing clock had not started. The collections clock had not started. But the project was done.
Second: all three regional teams had different informal completion thresholds for what “done” meant before the form was signed. One team signed off immediately. One waited for punch-list resolution. One waited for client sign-off on final scope changes, which sometimes required a second meeting.
Neither of these was a billing problem. Both were showing up as billing delays.
What Changed
Sentry Trade standardized the project completion trigger across all three teams — separating the billing trigger from the punch-list process. Invoices went out on the day of practical completion, with a defined scope-change addendum process for anything unresolved. The billing coordinator’s timeline was formalized: invoice within 24 hours of trigger receipt.
The A/R Forecast Engine was connected to the updated process, giving the owner forward-looking visibility into which projects were approaching collection risk and which customers had payment pattern drift worth a proactive conversation.
The Result
Average days to collect fell from 52 to 34 over the following quarter. No new hires. No new software. The change was entirely process-structural — and it would not have been findable without the map showing where the clock was actually starting.
The tool stack that nobody had audited in three years
Industry: Mid-size contract manufacturer, Midwest US, $27M annual revenue, mixed product and project revenue
The Situation
The operations team was busy — too busy, they felt, for a business of their size. Quoting took longer than it should. Order processing had manual steps that kept getting flagged in team meetings but never resolved. The VP of Operations had a list of things that needed fixing. The problem was that the list was long and the sequence of priorities kept shifting based on whoever had the most urgent complaint that week.
Finance had a separate set of concerns: close was taking 11 days. The cost accounting team was spending significant time reconciling between the manufacturing execution system and the ERP. Nobody knew exactly why.
What the Map Revealed
The Lead2Cash intake mapped every department from Sales through Delivery through Billing through Collections. Ring 3 identified 14 distinct process nodes across the revenue cycle. Ring 4 attached tool and labor costs to each one.
The Tool Stack audit surfaced something that had not been visible before: the business was running four separate tools with overlapping functionality in the order management and job costing stages — three of which had been purchased at different points over the previous four years as individual problems arose. None of the three were integrated with the ERP. All three were being reconciled manually at close.
Total monthly tool cost for the revenue operation: $11,400 per month across 11 active tools. Three of those tools — $3,200 per month combined — were creating the reconciliation problem that was adding 4 days to the close.
The CCC panel also revealed something the operations team had not calculated cleanly: the full lead-to-cash cycle was 41 days. The Delivery stage accounted for 28 of those — but within Delivery, a single job scheduling handoff was adding an average of 7 days because it required approval from a manager who was also responsible for production floor oversight. Two roles, one person, no formal coverage when that person was on the floor.
What Changed
Sentry Trade consolidated the three overlapping tools to one, with direct ERP integration. The reconciliation step was eliminated. Close came down from 11 days to 6.
The job scheduling handoff was restructured: a deputy approval path was established for standard job types, reserving the manager’s direct approval for non-standard jobs only. The 7-day average scheduling gap came down to 2.
The Result
Close reduced by 5 days. CCC improved from 41 to 32 days. Monthly tool spend reduced by $2,800. The reconciliation work that had been occupying 2 days of a senior analyst’s time each month was eliminated entirely. None of these changes required new headcount. All of them were visible in the map before a single recommendation was made.
The firm that thought it had a collections problem
Industry: Mid-size management consulting firm, $9M annual revenue, project-based billing, multiple engagement types
The Situation
The managing partner described it as a collections problem. Invoices were going out. Follow-ups were happening. But cash was consistently arriving later than the billing schedule implied it should. By their own estimate, the firm was carrying 2 to 3 weeks of avoidable float — cash that should have been in the account but was not.
They had tightened payment terms. They had added a collections coordinator. Neither had moved the number meaningfully.
What the Map Revealed
The Lead2Cash intake mapped the full engagement lifecycle from proposal to final payment. By Ring 3, the picture was already different from what the managing partner had described.
Invoices were not going out on schedule. The billing coordinator was generating invoices from a project completion notification sent by the engagement manager — but that notification had no formal trigger point. It went out when the engagement manager remembered to send it, which averaged 9 days after deliverable submission.
Ring 3 also surfaced a second issue: the firm had four distinct engagement types — strategy advisory, interim placement, audit support, and technology advisory — and each one had a different informal billing sequence. No two engagement managers followed the same process. Some invoiced at deliverable submission, some at client sign-off, some at a fixed monthly cadence regardless of deliverable status. The billing coordinator was working four different informal processes with no visibility into which one applied to which engagement.
The A/R aging was not a collections problem. It was a billing initiation problem with four inconsistent triggers feeding it.
What Changed
Sentry Trade mapped a single standardized billing trigger for all four engagement types, with type-specific variations documented in the process map rather than carried informally by each engagement manager. The billing coordinator was given a structured daily input — a standardized completion notification from the project management system rather than a manual message from individual managers.
The A/R Forecast Engine was set up with customer-specific payment pattern tracking, so the collections coordinator could focus effort on accounts showing drift rather than running a uniform follow-up cadence on all open invoices.
The Result
Average time from deliverable submission to invoice delivery came down from 9 days to 1. The float the managing partner had attributed to slow collections largely disappeared — it had been billing lag the entire time. The collections coordinator’s time was redirected from uniform follow-up to targeted outreach on accounts showing pattern drift, making the same headcount more effective without adding to it.
The hidden cost of a growing headcount
Industry: Commercial facility services company, $14M annual revenue, multi-site service contracts, 80+ field employees
The Situation
The company had grown steadily for four years. Revenue was up. The owner felt the business should be more profitable than it was. Gross margins were acceptable but net margins were compressing year over year. The accounting team attributed it to headcount growth in operations and admin. The owner’s working theory was that the business needed to get bigger faster to cover its fixed costs.
Before committing to an aggressive growth push, the owner wanted to understand what was actually driving the compression.
What the Map Revealed
The Lead2Cash intake mapped the full service delivery and billing cycle. Ring 4 attached labor costs to every role touching the revenue operation — not just service delivery, but scheduling, dispatch, billing, collections, and client reporting.
The executive dashboard number that changed the conversation: total monthly labor cost attributed to the revenue cycle was $187,000. The owner had estimated it at roughly $140,000. The gap was not fraud or misclassification — it was roles that had grown into the billing and reporting function incrementally, each change small enough not to trigger a formal budget review.
The CCC panel also surfaced something structural: the firm’s service contract billing cycle ran on a fixed monthly schedule regardless of service delivery timing. On 30% of contracts, services were delivered in the first two weeks of the month, invoiced at month-end, with payment terms of Net 30 from invoice date. The effective cash collection on those contracts was running 45 to 50 days from service delivery — 15 to 20 days of that was structural billing lag built into the billing model.
What Changed
Sentry Trade restructured billing on the relevant contract tier to a delivery-proximate trigger — invoices going out within 3 days of service completion rather than at month-end. For contracts where clients required fixed monthly invoicing, a negotiated early-billing schedule was proposed and accepted by the majority of those clients.
The labor cost attribution work surfaced three roles that had migrated significantly toward reporting and client communication functions — work that was not billable and was not documented as overhead. Two of those roles were restructured with clearer process ownership tied to billable service delivery. The third was formally reclassified into a client success function and scoped as a retention driver rather than an invisible cost.
The Result
Effective days from service delivery to cash receipt came down from an average of 47 days to 31. Monthly labor cost attributed to non-billable revenue cycle activity was reduced by $22,000. The owner did not need to grow faster to recover margin — the margin was already there, compressed by billing structure and untracked overhead, not by business model economics.
The CRM that was running the company instead of serving it
Industry: B2B SaaS company, $6M ARR, 3-year-old product, mixed self-serve and sales-assisted motion
The Situation
The Head of Revenue Operations had a problem she could not fully explain. The CRM was supposed to be the system of record for the sales cycle. In practice, every deal of any complexity had parallel tracking happening in spreadsheets, email threads, and a shared project workspace that had become too large to navigate. The CRM data was unreliable for forecasting. Finance was rebuilding pipeline figures from scratch each month using their own sources.
The CEO’s concern was different: the lead-to-cash cycle felt long for a SaaS business. From first meaningful contact to contracted revenue was averaging 38 days. For their deal size and customer profile, the benchmarks implied 18 to 22 days was achievable.
What the Map Revealed
The Lead2Cash intake mapped the full cycle from initial qualified lead to signed contract to first invoice to payment. Ring 3 identified 11 distinct process nodes in the Sales stage alone — a number that was itself a signal. For a business of this revenue and deal volume, 11 steps in Sales before a contract was executed indicated accretion: steps that had been added one at a time to handle specific edge cases and had never been pruned.
Ring 3 also identified where the parallel tracking had originated: the CRM had been configured for the self-serve motion and then stretched to cover the sales-assisted motion without a structural update. Sales reps were manually duplicating information across systems because the CRM fields did not match the actual deal structure for assisted deals. The spreadsheets were not discipline failures — they were the only functional system for a process the CRM was not built to support.
The Tool Stack audit confirmed the problem: 6 tools touching the revenue cycle, 4 of which had no direct integration with the CRM. The CRM was supposed to be the source of truth for a process that was not living in it.
What Changed
Sentry Trade mapped the two distinct sales motions separately — self-serve and sales-assisted — and documented the actual node structure for each. The CRM was reconfigured to match the sales-assisted deal structure. The 11-step Sales process was reviewed against the mapped flow; 4 steps were consolidated or eliminated as artifacts of edge-case handling that had been resolved by other means.
The parallel tracking systems were not banned — they were mapped into the documented process as holding areas during specific stages, with defined handoff points back to the CRM. The goal was not CRM compliance for its own sake. It was making the system match the actual process rather than the other way around.
The Result
Average lead-to-contract cycle time came down from 38 days to 24 over two quarters. Finance’s monthly pipeline rebuild was eliminated — CRM data became reliable enough to use directly. The Head of Revenue Operations gained a documented process she could train new reps into rather than relying on institutional knowledge transfer. The company did not buy new software. It restructured how the software it already owned was used — possible only after the actual process had been mapped.
Twenty thousand SKUs and no clear picture of what anything cost
Industry: Multi-channel consumer electronics retailer, $132M annual revenue, 18+ warehouse locations, 10+ countries, direct-to-consumer and wholesale channels
The Situation
The business had scaled fast. Revenue was strong, the product catalog was deep, and fulfillment was running across a network of third-party logistics partners spanning multiple countries. But the finance team could not produce a reliable landed cost figure for any SKU. Gross margin by channel was an estimate at best. Month-end close was taking 14 days and always felt unstable — numbers that changed after they were reported, reconciliations that revealed surprises.
The VP of Finance described it as a data problem. Too many systems, too many feeds, too many manual steps connecting them.
What the Map Revealed
The Lead2Cash intake mapped the full order-to-cash cycle across both channels — direct-to-consumer and wholesale — and all warehouse locations. Ring 3 identified that the two channels were running as effectively separate operations, with different billing triggers, different returns processes, and different collection cycles, all feeding into the same accounting function without a clean separation.
The Tool Stack audit surfaced the real source of the close instability: inventory valuation was being calculated manually in spreadsheets at month-end because the warehouse management system did not pass landed cost components — duties, freight, and handling — to the ERP automatically. Three separate team members were manually calculating adjustments each close, using slightly different methodologies, and reconciling them after the fact.
Ring 4 revealed that the total monthly labor cost of the close process — including the reconciliation and restatement work — was $31,000. Nobody had ever calculated that number. It was invisible because it was distributed across multiple roles, each of which had other responsibilities.
The breadth-first mapping also surfaced a returns and shrinkage process that had no formal documentation. Returns were being absorbed differently across warehouse locations, creating inventory discrepancies that only materialized at quarter-end. The process existed — it just had never been written down, which meant it was being executed inconsistently across 18 locations.
What Changed
Sentry Trade restructured the landed cost flow to pass all cost components from the warehouse management system directly to the ERP, eliminating the manual spreadsheet calculation entirely. A standardized returns and shrinkage protocol was documented in the process map and distributed across all warehouse locations with a single accountable owner per region.
The two revenue channels were formally separated in the process map with distinct billing triggers, collection timelines, and reporting cadences — giving the finance team clean channel-level margin data for the first time.
The Result
Month-end close came down from 14 days to 7. Monthly labor cost attributed to the close process reduced by $18,000. Channel-level gross margin became a reliable number rather than an estimate. Inventory discrepancies that had been surfacing at quarter-end disappeared within two cycles of implementing the standardized returns protocol. The business did not add systems. It connected the ones it already had and documented the process that was supposed to run through them.
The acquisition that looked clean until the map said otherwise
Industry: PE-backed construction and restoration company, multi-state operations, acquired as part of a buy-and-build strategy, 18-month path to exit
The Situation
The private equity firm had acquired a regional restoration contractor as the platform company for a roll-up strategy. The business had strong revenue and a recognizable brand. Post-acquisition due diligence had flagged some accounting inconsistencies but nothing that looked structural.
Six weeks after close, the picture was different. Month-end close was taking 12 days and producing numbers that required post-close adjustments. Project accounting was inconsistent across job types. The insurance billing cycle — which represented a significant portion of revenue — was running on informal processes that nobody had documented. The CFO the PE firm had placed into the business was spending most of her time reconciling rather than building.
The firm had an 18-month window to stabilize the platform, complete two add-on acquisitions, and position the combined entity for exit. Twelve days to close and unreliable project accounting were not compatible with that timeline.
What the Map Revealed
The Lead2Cash intake mapped the full revenue cycle across all job types — emergency response, reconstruction, and mitigation. Ring 3 identified that job costing was being handled differently by each project manager. There was no standard process for when a job moved from work-in-progress to billable completion. Each project manager was making that determination independently, which meant the WIP balance at month-end was not a reliable financial figure — it was an aggregation of different people’s different interpretations of the same accounting concept.
The insurance billing process had a further complication: supplements and change orders were being tracked in a separate system not integrated with the project accounting platform. Supplements were being billed weeks after the underlying work was complete, in some cases after the insurance carrier had already processed a partial payment. The billing cycle for supplemented jobs was averaging 67 days from job completion to final collection. For non-supplemented jobs, it was 31 days. Nobody had ever separated those two populations to see the difference.
The Tool Stack audit revealed 9 tools across the revenue cycle, with 3 touching the insurance billing workflow and none of the three fully integrated with each other.
For the PE firm, the process map served a second function: both add-on acquisition targets went through the Lead2Cash intake before LOI, giving the firm a mapped view of each target’s revenue cycle before committing capital. The map revealed, in one case, a billing dependency on a single employee who was planning to leave — a risk that would not have surfaced in standard financial diligence.
What Changed
Sentry Trade implemented a standardized WIP-to-billable trigger across all job types and all project managers — documented in the process map with a single accountable owner per job category. The supplement tracking process was integrated into the primary project accounting platform, eliminating the parallel system and the reconciliation it required.
The insurance billing cycle was restructured to formally separate supplemented and non-supplemented jobs, with a dedicated workflow for supplement submission and follow-up. A/R Forecast was configured to track the insurance carrier population separately, flagging submissions outstanding longer than carrier-specific processing norms.
The Result
Close came down from 12 days to 5 over two quarters. The WIP balance became a reliable financial figure for the first time since acquisition. Average days to collect on supplemented jobs came down from 67 to 38. The two add-on acquisitions were integrated with a documented process foundation already in place, reducing post-close stabilization time significantly. The combined entity reached exit readiness on schedule.
The receivables that looked fine until the ownership changed
Industry: Digital and print media company, $22M annual revenue, multiple content verticals, international advertising and subscription revenue
The Situation
The business had gone through an ownership transition. The incoming ownership group inherited a media property with a recognized brand, an established advertiser base, and a subscription revenue stream that looked stable on paper.
What they also inherited was an accounts receivable portfolio in which roughly 30% of the balance was either in dispute, past 90 days, or associated with advertisers who had materially reduced their spend and not been formally offboarded. The previous ownership had managed cash through a combination of new advertiser acquisition and deferred collection follow-up. That approach had worked when the business was growing. Under new ownership, with growth slowing, it stopped working immediately.
The new CFO had 90 days to stabilize cash before the business would need to draw on its credit facility.
What the Map Revealed
The Lead2Cash intake mapped the full revenue cycle across both revenue streams — advertising and subscription — which had never been formally separated in the process documentation.
Ring 3 surfaced the structural problem immediately: the advertising revenue cycle had no formal offboarding process. When an advertiser reduced spend or went dark, the account remained active in the billing system with an outstanding balance and no escalation trigger. The collections team was running a uniform follow-up cadence across all open accounts — the same process for a healthy advertiser 15 days past due and a churned advertiser 120 days past due with no active relationship.
The subscription revenue stream had a different problem. Subscription renewals were being processed by a single team member who also managed the billing disputes queue. When disputes volume spiked — which it did during the ownership transition — renewal processing slowed because the same person was handling both. Renewal delays were creating churn that looked like subscriber dissatisfaction but was actually a process bottleneck.
The A/R aging, when mapped against the actual status of each account relationship, revealed that the real collectible balance was approximately 65% of what the aging report showed. The rest was either genuinely uncollectible or would require negotiated settlement.
What Changed
Sentry Trade implemented a formal advertiser offboarding process — a defined trigger when spend dropped below a threshold, an escalation path for collection, and a write-off protocol that cleared non-collectible balances on a structured timeline rather than leaving them to age indefinitely.
The subscription renewal and billing disputes workflows were separated into two distinct process owners. Renewal processing was put on an automated trigger cadence so it was no longer dependent on a single person’s availability.
The A/R Forecast Engine was configured with advertiser-specific payment pattern tracking, distinguishing between active, reduced-spend, and offboarded accounts. The collections team was redirected from uniform follow-up to a tiered approach based on account status and collection probability.
The Result
The business did not need to draw on its credit facility. Within 60 days, collections on the genuinely collectible balance had accelerated enough to stabilize cash. Bad debt as a percentage of revenue came down from 18% to under 4% over two quarters as the write-off protocol cleared the aging. Subscription churn attributed to renewal processing delays dropped by more than half once the workflows were separated. The new ownership group had a clean receivables picture — and a documented process — for the first time since acquiring the business.
The revenue recognition problem hiding inside a payment processing platform
Industry: Global retail SaaS, point-of-sale, and payment processing platform, $14M ARR, operations across multiple regulatory jurisdictions, mixed subscription and transaction-based revenue
The Situation
The business had three revenue streams running simultaneously: SaaS subscription fees, transaction processing fees, and hardware sales. Each had different recognition timing, different collection mechanics, and different regulatory exposure across the jurisdictions it operated in.
The finance team was managing all three through a combination of the billing system and manual spreadsheet adjustments at month-end. Revenue recognition had been flagged as an audit risk twice in the previous two years without a formal finding — the CFO understood that the third flag would not be as gentle.
Cash flow was also a persistent concern. MRR appeared stable but actual cash collection was consistently trailing the recognized revenue figure by 3 to 4 weeks. Nobody had a clean explanation for why.
What the Map Revealed
The Lead2Cash intake mapped all three revenue streams separately — which was itself a clarifying act, since they had never been formally separated in the process documentation.
Ring 3 identified a revenue recognition timing problem in the transaction processing stream: fees were being recognized at the point of transaction processing, but the actual settlement — when funds moved to the merchant’s account — occurred on a 2 to 3 business day lag. For high-volume transaction days, this was creating a recognized revenue figure that was consistently ahead of the collectible cash position. The billing system was not built to handle the lag, so the finance team was correcting it manually at close every month in a spreadsheet that only one person fully understood.
The subscription revenue stream had a separate issue: multi-year contracts were being recognized on a cash-received basis rather than ratably over the contract term. This had been the practice since the business was founded, and nobody had flagged it as a revenue recognition problem because the auditors had been focused on the transaction stream. It was not GAAP-compliant.
The hardware sales stream was the smallest of the three but had the most complex recognition requirements — hardware bundled with a software subscription required allocation between the two components, and the business was not doing the allocation. The entire bundled contract value was being recognized at hardware delivery.
Ring 4 attached a cost figure to the manual close process for the first time: $26,000 per month in labor across three team members was being spent on adjustments that existed entirely because the systems did not reflect the actual revenue recognition requirements of the business.
What Changed
Sentry Trade restructured the revenue recognition process for all three streams — documented in the process map with explicit trigger points, recognition timing rules, and the allocation methodology for bundled contracts. The transaction processing settlement lag was built into the billing system as a configured delay rather than a manual adjustment, eliminating the spreadsheet correction entirely.
The subscription revenue recognition was brought onto a ratable basis with an opening balance adjustment documented and reviewed with the auditors before the next reporting period. The bundled contract allocation methodology was formalized and applied retroactively to open contracts.
Compliance controls were mapped as explicit process nodes — not handled as a separate compliance function but embedded into the revenue cycle itself, with defined owners and documented evidence requirements for each jurisdiction the business operated in.
The Result
The manual close adjustments were eliminated. Monthly close labor cost attributed to revenue recognition corrections reduced by $19,000. The audit risk the CFO had been managing informally was resolved before the next audit cycle — the auditors issued a clean finding for the first time in three years. MRR and actual cash collection came into alignment once the transaction settlement lag was correctly modeled. The finance team stopped spending close week correcting the same problems they had corrected the month before.
Every one of these started with a map.
Not a sales call. Not a product demo. A structured session where we documented how the business actually worked before recommending anything. That is still how every engagement begins.