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AR Directors evaluating automation face a predictable fear: That connecting a new platform will require months of IT effort, disrupt daily collections, and put key customer relationships at risk. Bishop Lifting standardized AR processes across 45 branches and 5,000 active accounts by connecting Stuut via API, going live in six weeks, and reducing overdue receivables by 35% while freeing their team to manage 50% more accounts per employee. This guide covers the realistic 90-day path from initial scoping to full production, including what IT, the AR team, and the Controller each need to do and when.
Legacy enterprise AR platforms take 3 to 6 months to implement, consuming significant IT resources and requiring process redesign before delivering a single dollar of benefit. Stuut uses a different architecture: An API-first connection to the existing ERP that completes in 3 to 4 days, with full go-live including configuration and first autonomous outreach in 6 to 10 days.
The 90-day framework below gives AR teams a structured, low-risk path to full production without shutting down existing processes while building the new one.
Table 1: 90-day AR automation roadmap
Scoping covers four things in parallel: Mapping customer data, defining communication channel preferences, identifying the pilot customer segment, and establishing the baseline KPIs against which results are measured. The AR Manager and ERP Administrator spend a few hours providing API access credentials and answering workflow questions, with no formal IT project required.
At this stage, the AR team also maps existing collection communication channels (email addresses, SMS contacts, and phone numbers) and identifies which customer segments carry the highest volume of routine, low-complexity invoices. These become pilot accounts. Setting baseline metrics now, including current DSO, Collection Effectiveness Index (CEI), and hours per week spent on payment matching and invoice resends, is critical because the team can't measure 90-day impact without a documented starting point.
Stuut connects to SAP, Oracle, NetSuite, and Dynamics via standard ERP API integration without modifying the chart of accounts, GL configuration, or any custom workflows the AR team relies on. The ERP remains the system of record throughout. Stuut reads invoice data, executes collections autonomously, and writes cash application entries back to the AR subledger in real time, with no middleware, data migration, or custom ERP development required for standard configurations.
IT provisions a dedicated integration user account with read/write permissions for the AR subledger. Stuut then maps standard fields, including invoice number, customer ID, outstanding balance, due date, and payment terms, to internal data structures. No custom ERP development is required for these fields in standard environments.
The pilot runs for approximately 30 days on a defined subset of the customer portfolio, typically 10% to 15% of active accounts, and Stuut runs in parallel with the existing manual process during this phase. Collectors continue their normal outreach on accounts outside the pilot group, so total cash collected doesn't drop while the team verifies the new system's accuracy.
During the pilot, Stuut's AI agent contacts customers across email, SMS, and voice before invoices go overdue, matches incoming payments using a proprietary three-way matching algorithm, and logs all interactions to a dashboard the AR team monitors. The agent also identifies bounced communications and searches for updated contact information automatically, which addresses one of the most time-consuming manual tasks on most AR teams.
Once the pilot confirms the target 95%+ automated cash application match rate and communication accuracy are sustained, the AR Director scales coverage to the full portfolio incrementally, not as a hard cutover. Accounts move from manual management to autonomous management in batches, expanding coverage until reaching 100% of the active portfolio.
PerkinElmer's rollout shows what full production looks like at scale. Overdue invoices dropped from 50% to 15% in one year, with 80% of tail customers managed through automation and $300M collected while the AR team shifted focus to strategic accounts and two acquisitions the improved cash flow enabled.
The AR Director, Controller, and IT lead each have distinct responsibilities during deployment. Keeping these lanes clear helps prevent the delays that stall most software implementations.
The AR Director owns the implementation as strategic orchestrator. The AR Director defines communication policies, approves the pilot customer segment, reviews daily performance dashboards, and makes escalation decisions when Stuut flags anomalies. The AR Director doesn't manage every customer conversation, but sets the rules that govern all of them.
The AR Director's most important task during the first 30 days is monitoring the pilot dashboard closely enough to catch configuration issues early. Stuut's real-time dashboard shows all customer interactions, payment match rates, and flagged exceptions in real time to identify any mismatch between the expected workflow and what the AI is executing.
The Controller's concerns are predictable and legitimate. Does Stuut maintain a complete audit trail? Does it alter GL configurations? Does it post cash application entries accurately and in real time?
Verify three things before go-live approval:
Stuut is SOC 2 (Service Organization Control 2) certified and double-encrypts customer PII (Personally Identifiable Information) through its partnership with Skyflow.
Bring the security whitepaper and SOC 2 documentation to the Controller before scoping begins. Addressing these concerns proactively avoids the scenario where a Controller blocks go-live days before the team is ready to launch.
IT's role is narrow and time-limited. IT provisions API credentials for the ERP integration user, configures read/write permissions for the AR subledger, and whitelists Stuut's IP addresses on the network security configuration. This work takes a few hours for standard ERP environments and doesn't require a formal IT project or change control process.
The collections team's daily routine changes significantly once Stuut reaches full production. Instead of spending the majority of their time on invoice resends, payment follow-ups, and contact lookups, collectors focus on three categories: Managing exceptions flagged by Stuut's anomaly detection, handling complex disputes that require negotiation or judgment, and providing relationship management for the highest-value accounts.
The daily workflow shift is concrete. Collectors start the day reviewing Stuut's flagged exceptions rather than scanning aging reports to decide who to call. They manage escalations instead of initiating first-contact outreach on routine invoices, and they apply their industry knowledge to accounts where human judgment changes the outcome.
Pilot account selection is one of the most important risk management decisions before go-live. Choose wrong and the risk is either damaging a key customer relationship or generating a pilot dataset that doesn't represent the actual portfolio.
Ideal pilot accounts typically share three characteristics. They have relatively routine payment patterns with limited dispute history. They fall in tiers where collection friction has manageable business impact. And they have sufficient transaction volume to generate meaningful performance data within the pilot period.
For most mid-market industrial companies, this means accounts in the lower invoice volume tiers with adequate historical payment data in the ERP. As the PerkinElmer rollout demonstrated, focusing automation on long-tail customers first drives compounding cash flow improvement because these accounts were previously going unworked.
Start with 10% to 15% of the active customer portfolio. For a company with 1,000 active accounts, that means 100 to 150 accounts in the pilot group. This range is large enough to produce representative performance data and a meaningful DSO signal, but small enough that any configuration issues don't cascade across the entire AR balance.
At Bishop Lifting, with 5,000 active accounts generating roughly 1,000 invoices per day, the pilot scope and process produced enough data to validate the three-way matching algorithm's accuracy before the full production rollout across all 45 branches.
Three categories of accounts are typically excluded from the pilot group:
Run the pilot for approximately 30 days with structured weekly checkpoints. Each weekly review should cover communication delivery rates, cash application match rates against manual records, customer response patterns, and escalation routing accuracy. At day 30, compile the full pilot results against the baseline KPIs before making the production rollout decision.
For a practical DSO reduction checklist to run alongside the pilot, track daily cash collected from pilot accounts against the same accounts from the prior 30-day period. This produces a direct before-and-after comparison without waiting for a full DSO calculation cycle.
This section covers the specific technical tasks required to connect Stuut to the ERP without disrupting existing configurations.
Before field mapping begins, IT confirms that API access is enabled, the AR subledger supports read/write calls, and the network firewall allows outbound connections to Stuut. Most standard SAP, Oracle, NetSuite, and Dynamics configurations already meet these requirements without modification.
Stuut maps six standard fields during initial configuration: Invoice number, customer ID, outstanding balance, due date, payment terms, and primary contact information. No custom ERP development is required for these fields in standard environments. If the ERP uses custom invoice status fields or non-standard customer segmentation codes, the AR Manager documents these during the scoping call and Stuut's implementation team builds the mapping accordingly.
Run a test batch of historical invoices through the three-way matching algorithm before any live outreach begins. This test verifies that Stuut correctly parses remittance data from the bank feeds, matches payments to the correct invoices, and posts cash application entries to the AR subledger without creating duplicate records or unmatched open items. The cash application matching process handles exact matches, partial payments, overpayments, and bulk deposits. The pilot is measured against a 95%+ automated match rate target, which reflects Stuut's steady-state performance across live deployments.
Create a dedicated ERP integration user account with access restricted to the AR subledger only. Document the permission set for the Controller's audit trail before go-live approval.
If sync issues appear during testing, isolate the specific invoice record before investigating further and check whether the error is in Stuut's outbound data or in the ERP's inbound posting. The Stuut implementation contact resolves configuration mismatches during the historical invoice test batch before go-live, which is why running this test is not optional.
A primary adoption risk isn't technical. It's collectors feeling that automation threatens their jobs rather than reducing their grunt work. Address this directly and early.
Frame the transition around what automation eliminates, not what it replaces. Stuut handles the work that collectors find most draining: invoice resends, payment follow-up calls on routine low-dollar accounts, contact lookups for bounced emails, and basic dispute logging. These tasks consume the majority of a collector's day but require no judgment or relationship skill, a pattern documented in Stuut's CFO business case. The AR Director communicates directly to the team: Stuut handles the repetitive outreach so collectors can focus on accounts where their industry knowledge and customer relationships actually change the outcome.
Two objections come up in almost every AR team: "What if the AI sends the wrong message to a customer?" and "Does this mean we're losing headcount?" Address both directly. Stuut's communication policies and channel preferences are configured during onboarding based on the AR team's existing process. For staffing, the honest answer is that automation expands capacity rather than reducing it. Bishop Lifting's team handles 50% more accounts per employee than before implementation. The team size didn't shrink. The portfolio they could effectively cover grew significantly. Involve collectors in the pilot review sessions because when they see accounts collecting faster and their call queues shrinking, adoption follows naturally.
Track five core metrics during the first 90 days to build a CFO-ready business case. These metrics quantify both operational efficiency gains and working capital improvements.
Table 2: CFO-ready business case framework
Aim for a 10% to 20% DSO reduction within the first 90 days. This is a realistic near-term target based on Stuut's case studies, where the average DSO reduction reached 37%. For a company currently collecting at 60 days, a 10% reduction within 90 days means converting an additional 6 days of revenue into usable cash within the quarter.
Bishop Lifting's 35% reduction in overdue receivables is the right long-term benchmark, but it reflects months of full production, not the first 90-day sprint. Set realistic targets with the CFO upfront to avoid over-promising results that the pilot phase isn't designed to deliver.
CEI measures dollars collected against dollars available to collect. For most mid-market industrial companies, the hidden CEI drag comes from long-tail accounts the AR team doesn't have time to contact consistently. Stuut covers these accounts systematically, and covering this previously ignored population drives measurable CEI improvement before DSO begins to shift materially.
The 70% reduction in manual tasks breaks down across three work categories. Payment matching is dramatically reduced because the three-way algorithm handles exact matches, partial payments, overpayments, and bulk deposits automatically at a 95%+ match rate. Invoice resends drop to near zero because the system detects bounced communications and finds updated contact information without human intervention. Routine follow-up outreach is fully automated for non-escalated accounts, redirecting collector time to strategic relationship work where human judgment changes outcomes.
Before automation, most AR teams consistently work their top accounts and let the long tail slip past 60 days without contact. Stuut covers every account in the portfolio regardless of invoice size, and this is where the cash flow compounding effect comes from, as documented in HighRadius SAP alternative comparisons. Track long-tail coverage as a standalone metric during the first 90 days: What percentage of accounts with invoices below the organization's low-value threshold received at least one outreach communication within 15 days of the due date?
Stuut posts cash application entries to the AR subledger in real time, which means the close backlog is eliminated rather than merely shortened. The 95%+ automated match rate also reduces the reconciliation errors that surface during quarter-end audit reviews and create friction with the Controller.
Present three numbers to the CFO to anchor the conversation. Cash freed from receivables is the DSO reduction in days multiplied by average daily revenue. Headcount efficiency gain is the manual hours saved per week multiplied by fully loaded cost per hour and annualized. And bad debt reduction comes from earlier identification of at-risk accounts before they age past 90 days. For a company with $100M in annual revenue and a 5-day DSO reduction, the first number alone represents approximately $1.37M in additional working capital. The CFO business case framework also factors in implementation cost delta because Stuut's zero implementation fees remove the upfront costs that most AR automation platforms layer on top of subscription pricing.
Razvan Bratu, Head of Quote to Cash at Honeywell, puts it directly: "We're collecting faster from the in-scope customers, our cash flow is improving, and our team has more time to focus on white gloves service for top customers. The platform handles the routine work so our people drive increased real business value."
Table 3: Risk mitigation comparison
The reason legacy platforms take months to implement is architectural. They require custom middleware, data migration, and process redesign that creates IT project dependencies and formal change control requirements. Stuut's API-first design is built to reduce these dependencies by reading from and writing to the existing ERP structure without custom development. IT's role is credential provisioning, not project management, which is why the integration completes in days rather than months.
Present Stuut's compliance documentation before the Controller hears about the project secondhand. Bring the SOC 2 certification, documentation of Stuut's double-encryption of customer PII through its Skyflow partnership to the Controller in the scoping phase, not as a response to a block during go-live review. Frame the conversation around what doesn't change: The GL configuration, chart of accounts, and audit control structure remain exactly as they are. Stuut writes to the AR subledger, not to GL, and every transaction carries a complete audit trail.
If the pilot isn't hitting target cash application match rates on schedule, there are two likely causes. First, outdated customer contact data: Stuut identifies bounced communications automatically, but if a significant portion of the contact records are stale, the system needs updated data before it can execute effectively, and a contact data audit before the pilot begins prevents this. Second, incorrect ERP field mapping: If the customer ID in the ERP doesn't match the identifier in the bank's remittance data, the matching algorithm can't close the loop. The Stuut implementation contact diagnoses this during the historical invoice test batch, which is why running that test before go-live is non-negotiable.
The implementation risk that stops most AR automation projects isn't technical complexity. It's vendors who overpromise simplicity while hiding months of professional services work. Stuut's architecture is designed to bridge that gap by making the 90-day timeline real rather than aspirational.
Book a demo with the Stuut team to see Stuut's real-time dashboard against a specific ERP configuration. The demo covers the full implementation flow, not a generic product walkthrough.
Onboarding completes in 3 to 4 days for standard ERP environments. Full go-live, including configuration and first autonomous customer outreach, takes 6 to 10 days.
IT provisions API credentials and configures read/write permissions for the AR subledger in a few hours for standard environments. No formal IT project or ongoing IT involvement is required after initial setup.
Stuut runs in parallel with the existing manual process during the pilot, and the ERP remains the system of record throughout. Collections on accounts outside the pilot group continue exactly as before.
Stuut contacts long-tail accounts first during the pilot, keeping strategic key accounts under manual management. The system adapts communication tone, frequency, and channel based on customer response patterns and account history.
Performance varies by portfolio mix, ERP data quality, and existing AR process maturity. Results improve as Stuut learns individual customer payment patterns and communication preferences over time.
DSO (Days Sales Outstanding): Average number of days it takes to collect payment after a sale. Lower DSO means faster cash conversion and more working capital available to fund operations.
CEI (Collection Effectiveness Index): Measures dollars collected against dollars available to collect in a given period. A target of 80% or higher indicates a high-performing AR function.
Cash application: Process of matching incoming payments to outstanding invoices in the AR subledger. Manual cash application creates month-end close bottlenecks and reconciliation errors.
Three-way matching: Automated process matching payment amount, invoice record, and bank deposit to post cash application entries accurately. Stuut achieves a 95%+ automated match rate across standard payment types.
Aging buckets: Categorization of invoices by days past due (0-30, 31-60, 61-90, 90+). Higher aging buckets indicate collection risk and increased bad debt exposure.
API integration: Software connection method that reads from and writes to ERP systems without custom development or ERP modification. Stuut uses API-only integration that requires zero changes to the existing chart of accounts or GL configuration.
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