Built for accounts receivable and collections teams
The CRM that treats a 72-day past-due balance like the real work it is.
Collections work does not fit a sales pipeline. It is an aging ledger, a promise-to-pay queue, a dispute inbox, and a daily dunning cadence. Strkr ships a CRM shaped around invoices, aging buckets, and collector workflow with AI drafting that stays firm without burning the customer relationship.
An AR controller running a 2,400-invoice ledger does not need a weighted forecast of closed-won revenue. The controller needs to know which 68 accounts are past 60 days, which 42 of those have a promise-to-pay on the calendar, and which 11 are in dispute with the dispute resolution lagging past 14 days. A generic sales CRM assumes a forward funnel. AR is a backward-looking cleanup. The pain points below are what Strkr's onboarding team hears on every intake with a commercial AR or collections group, from an in-house credit team at a 180-truck distributor to a third-party collections agency placing commercial paper for mid-market creditors.
Aging buckets drive the day
The sales pipeline view does not help the AR analyst.
An AR analyst opens the morning with a question: which invoices crossed into 60-plus-days last night, and which crossed into 90-plus. A sales pipeline board sorted by close date and expected revenue does not answer this question. Strkr ships an aging-first view with 0 to 30, 31 to 60, 61 to 90, and 91-plus buckets as the primary spine, deal value replaced by invoice balance, and the collector assignment flagged on every card.
Promise-to-pay drift
The customer promised to pay by Friday. It is Tuesday.
A promise-to-pay is a verbal commitment that a invoice amount lands on a date. 42 percent of promise-to-pay commitments slip past the promised date without a follow-up call. Strkr tracks promise-to-pay as a first-class object with the promised date, promised amount, communication channel (phone, email, portal), and automated follow-up at day one past the promise. The slippage rate drops to about 14 percent within 60 days of cutover.
A 60-vendor commercial customer runs 11 dispute reasons across its payable workflow. Short-pay, missing purchase order, wrong rate, duplicate invoice, delivery dispute, pricing dispute, credit memo pending, tax dispute, approval pending, pending reconciliation, invalid invoice. Strkr ships a dispute object with the reason, the resolution owner, the target resolution date, and the invoice balance on hold. Disputes drop from averaging 42 days to resolution to about 11 days.
Dunning cadence autopilot
The three-stage reminder cadence that keeps a human in the loop.
A collection letter cadence at day 15, day 30, and day 45 past invoice date is standard. Running it manually across 2,400 open invoices eats a 32-hour AR week. Strkr ships the three-stage cadence as a configurable workflow with Strkr AI drafting the body in a firm but professional tone and the collector approving each outbound email. The collector shifts from writing letters to approving them in batch, which lifts weekly outreach from roughly 180 touches to about 600.
ERP writeback friction
The AR tool knows what NetSuite does not.
The ERP (NetSuite, Sage Intacct, Microsoft Dynamics GP, QuickBooks Enterprise) is the system of record for the invoice balance. The collections work (notes, call logs, promise-to-pay, dispute status) usually lives in a shared spreadsheet. Strkr becomes the collection work layer with bi-directional webhook sync against the ERP open-invoice feed. The ERP keeps the balance. Strkr keeps the context. The controller sees both without jumping between tools.
DSO visibility across the team
The CFO wants days-sales-outstanding by segment.
The CFO wants a DSO view by customer segment, by collector, by product line, and by sales rep. Most AR tools report DSO as a single company-wide number. Strkr's declarative report builder ships DSO slices on day one with weighted and unweighted variants and the ability to drill into the aging distribution behind the number. The CFO stops asking the controller for the breakdown by email.
The AR and collections schema
Objects shaped like collections work, not sales work.
The default CRM schema (account, contact, deal, opportunity) breaks down in a collections context. Strkr ships a tunable AR schema with Customer, Invoice, Aging Bucket, Promise-to-Pay, Dispute, Collector Activity, and Payment Plan as first-class objects. The controller can rename or extend anything. The default lands close to where most AR teams eventually settle after a Zendesk Collect or Billtrust implementation.
Customer object
Credit limit, payment terms, risk tier.
A customer in Strkr carries credit limit, payment terms (net 30, net 45, net 60, net 90, 2/10 net 30), risk tier based on 24-month pay history, exposure total across open invoices, and the AR analyst assignment. The schema drives the dunning cadence selection and the credit-hold trigger automatically. New-customer onboarding flows through the credit application workflow with reference check and bureau pull captured as first-class events.
Invoice object
Balance, aging day count, dispute status.
An invoice ties to the customer and carries the invoice number, invoice date, due date, original amount, outstanding balance, aging day count, dispute status, promise-to-pay reference, and collector assignment. The invoice object is read from the ERP through the open-invoice webhook feed and refreshed on a 15-minute cadence by default. Partial payments reconcile to the invoice automatically.
A promise-to-pay captures the invoice reference, the promised date, the promised amount, the communication channel (phone, email, portal), and the automated follow-up cadence. A promise that passes the promised date without payment triggers a next-business-day call back on the collector queue with Strkr AI drafting the conversation opener. 72 percent of broken promises resolve within three business days of the follow-up call.
Dispute object
Reason code, resolution owner, invoice hold.
A dispute carries the reason code (short-pay, missing PO, wrong rate, duplicate invoice, delivery dispute, pricing dispute, credit memo pending, tax dispute, approval pending, pending reconciliation, invalid invoice), the resolution owner (sales rep, billing, operations, credit), the target resolution date, and the invoice balance on hold. Disputes that pass the target resolution date without closure escalate to the AR manager automatically.
Collector activity object
Call log, email send, portal visit, letter.
Every collector activity logs to the activity object with timestamp, channel, outcome (left voicemail, promise obtained, dispute raised, no answer, do-not-contact), and attached notes. The activity history drives the right-party-contact calculation and the collector productivity report. The audit log retention runs 90 days by default, tunable to the Fair Debt Collection Practices Act record ceiling where applicable.
Payment plan object
Installment schedule, breakage alert, retention.
For customers on a formal payment plan Strkr tracks the installment schedule, the installment amount, the current balance against the plan, and the breakage alert when an installment goes past due. Plans with two consecutive missed installments trigger escalation to the AR manager and a reroute to the dispute workflow. 42 percent of plans run to completion. 36 percent complete with one or two late installments.
How Strkr AI drafts for the collector
The AI jobs that fit AR and collections work.
An AR team cannot ship AI-drafted collection emails that read as a chatbot or a harassment-flavored demand. Strkr AI drafts in a firm but professional tone the collector would use, tuned per customer tier and per aging bucket. The jobs below are what shows up in every AR deployment inside the first two weeks of cutover.
Dunning email draft
The day-15 friendly reminder.
Strkr AI drafts the day-15 reminder email with the invoice number, amount, due date, and a professional ask for status. The collector approves and sends. 48 percent of day-15 reminders resolve the open invoice within five business days because the email is specific instead of a generic form letter. The tone shifts automatically for a strategic key account versus a transactional small customer.
Second-notice email
The day-30 firmer ask with escalation note.
At day 30 Strkr AI drafts a firmer notice referencing the prior outreach, flagging the pending credit hold at day 45, and offering a payment plan or dispute pathway. The collector approves and sends. The day-30 message converts about 32 percent of outstanding balances to payment or promise-to-pay within seven business days.
Final demand letter
The pre-collections or pre-legal notice.
At day 60 or 90 depending on the customer tier Strkr AI drafts the final demand letter in a formal tone with the pending-action language (credit hold, placement with third-party collections, legal referral). The AR manager reviews before the letter sends. The letter template respects the Fair Debt Collection Practices Act notice requirements where the customer is subject to FDCPA.
Promise-to-pay confirmation
The post-call confirmation sent same-day.
After a collector obtains a promise-to-pay on a phone call Strkr AI drafts the same-day confirmation email with the promised date, promised amount, and a reply-to-confirm closer. The confirmation drops the promise-slippage rate from 42 percent to about 18 percent because the customer has the commitment in writing.
Dispute follow-up
The dispute status check at day seven.
Open disputes that have not moved in seven business days trigger a Strkr AI follow-up draft to the resolution owner (sales rep, operations, billing) asking for a status update and a target resolution date. The collector cc on the thread sees the response. Disputes close faster because the follow-up removes the forgotten-ticket problem.
Weekly collector call plan
The Monday morning priority list.
Each Monday Strkr AI drafts the collector's priority call list for the week based on balance size, days past due, promise-to-pay status, and dispute status. The collector gets 18 to 24 calls organized by expected recovery probability. The call plan drives a 42 percent lift in weekly recovery dollars within the first full quarter.
Credit memo request
The internal note to accounting.
For disputes resolved as a credit memo Strkr AI drafts the internal credit memo request note with the invoice reference, dispute reason, approved credit amount, and routing to the AR manager for approval. The credit memo request flows to the ERP through the webhook on approval. The paperwork friction drops by about 60 percent.
The daily AR cockpit
The aging-first dashboard that replaces the morning spreadsheet.
Most AR teams open the morning with a spreadsheet export from the ERP. Strkr replaces the spreadsheet with a daily AR cockpit built on the live invoice feed. The cards below are what the cockpit surfaces and how the controller and the collectors act on each.
Aging snapshot
The 0, 30, 60, 90-plus breakdown with trend.
The cockpit header shows the aging distribution with yesterday's number and the delta. A 42-thousand-dollar jump into the 60-plus bucket overnight gets the controller's attention. A smooth downward trend on 90-plus confirms the collector cadence is working.
Top balance cards
The 20 largest open invoices.
The cockpit lists the 20 largest open invoices ranked by balance with the aging day count, dispute status, and promise-to-pay status on each card. The controller scans the top 20 before the morning stand-up and knows which three to escalate.
Promise follow-up queue
Promises due today and promises broken.
The promise-to-pay queue surfaces every promise due today and every promise that slipped past the promised date without payment. The collector works the queue first thing in the morning. The queue drives the day's call priority and keeps the broken-promise follow-up from falling through the gaps.
Dispute aging
Disputes past the target resolution date.
Disputes that have blown past the target resolution date surface in a dedicated section with the resolution owner highlighted. The AR manager escalates to the responsible party (sales, operations, billing) with the Strkr AI follow-up draft already in the thread. The aging dispute problem resolves because the escalation is routine instead of personality driven.
Credit hold candidates
Customers approaching the credit hold trigger.
Customers whose exposure or aging profile is approaching the credit hold trigger surface in a credit-hold candidate list. The controller reviews before any hold goes into effect, which keeps the sales relationship informed. A manual override lets the controller delay the hold if a known commitment is landing.
DSO trend chart
The CFO view embedded on the cockpit.
The DSO trend chart shows the 90-day moving DSO with the segment breakdown (by customer type, by collector, by product line). The CFO opens the cockpit before the monthly close call and sees the number without asking for the breakdown by email. The chart exports to the finance monthly deck.
Head-to-head
Strkr vs a generic CRM for accounts receivable work.
Most AR teams try a general CRM once because the sales ops team already pays for one. The schema fit is weak. The comparison below is Strkr's AR posture versus a generic sales CRM applied to the same ledger.
Feature
Strkr
Generic sales CRM for AR work
Aging bucket as primary spine
Yes with 0, 30, 60, 90-plus views.
None. Deal stages instead.
Promise-to-pay object
First-class with slippage follow-up.
Manual task with no slippage trigger.
Dispute workflow
Reason code, resolution owner, invoice hold.
Note field.
ERP invoice feed
NetSuite, Sage Intacct, Dynamics GP via webhooks.
Manual CSV import.
Dunning cadence autopilot
Day 15, 30, 45 with AI drafting.
Static email template.
DSO reporting with segments
By customer type, collector, product line.
Pipeline velocity only.
FDCPA notice compliance
Template respects notice requirements.
Generic template.
Right-party-contact tracking
Activity object with outcome taxonomy.
Call-log note.
Credit hold trigger integration
Exposure plus aging trigger with ERP writeback.
None.
How teams use Strkr
Five accounts receivable playbooks.
The playbooks below are the patterns Strkr's onboarding team sees across AR and collections deployments.
Pattern A
The 24-truck distributor in-house credit team.
A regional food distributor running 24 trucks and 1,800 commercial restaurant and institutional customers ran its AR on a weekly spreadsheet pull from Sage Intacct. The two-person credit team spent 14 hours a week updating the spreadsheet and sending reminder emails. Strkr onboarding ran a 14-business-day migration pulling the invoice feed through the Sage Intacct webhook. The daily cockpit replaced the spreadsheet. DSO dropped from 48 to 36 days in the first full quarter. The credit team reclaimed about 11 hours a week to work exception cases and credit application reviews.
Pattern B
The 68-person SaaS billing team on NetSuite.
A 68-person billing and collections team at a mid-market SaaS vendor ran NetSuite for the ERP and a legacy collections tool (Billtrust) that had drifted. The controller wanted the collector workflow on one surface with the AI drafting that neither NetSuite nor Billtrust offered. Strkr onboarding ran a 22-business-day migration with NetSuite kept as the system of record and Strkr as the collector work layer. Monthly collector outreach volume grew 180 percent from about 2,200 touches a month to about 6,100 touches a month at the same headcount. DSO improved from 54 to 41 days.
Pattern C
The commercial collections agency placing third-party paper.
A commercial collections agency placed 18-million-dollar annual portfolios of commercial paper from mid-market creditors. The agency ran a legacy Latitude by Genesys system plus a shared Google Sheet. The managing partner wanted the collectors on a modern cockpit with the AI drafting respecting FDCPA notice requirements. Strkr onboarding ran a 24-business-day migration with the Latitude feed kept as the system of record and the collector workflow lifted to Strkr. Portfolio recovery rate lifted from 38 percent to 46 percent in the first full year.
Pattern D
The 180-truck manufacturer with sales-ops shared visibility.
A 180-truck industrial manufacturer wanted the AR team on a CRM shared with the sales team so the sales rep could see when a customer went on credit hold. The AR controller and the sales VP ran a joint pilot. Strkr onboarding configured the credit-hold trigger with the sales rep on the escalation path, which gave the rep three business days to intervene with the customer before the hold went into effect. The approach preserved 42 percent of the credit-hold-flagged customer relationships that would have gone cold on a hard hold.
Pattern E
The healthcare receivables shop running HIPAA scope.
A healthcare receivables shop placed medical practice AR portfolios where protected health information attached to the invoice detail. The compliance posture was non-negotiable. Strkr delivered the BAA on request and configured the AI retrieval scope to exclude PHI fields in the invoice note. The migration ran in 20 business days. The healthcare receivables business ran inside the HIPAA perimeter with the collector workflow and the AI drafting intact. The compliance team ran a quarterly audit and found zero PHI leakage events in the audit log.
Run collections on a CRM shaped for AR work.
Book a 30 minute call. We will walk through the AR schema, the dunning cadence, and the daily cockpit with your actual aging distribution and ERP stack.
Does Strkr integrate with NetSuite, Sage Intacct, Dynamics GP, or QuickBooks Enterprise for the invoice feed?
Strkr integrates with every major ERP through its REST and GraphQL API, outbound webhooks with HMAC signing, and a published OpenAPI spec. The typical setup pulls the open-invoice feed on a 15-minute cadence by default, tunable up or down based on invoice volume. Payment events and credit memo events sync bi-directionally. For NetSuite the integration lands in roughly one engineering sprint. For Sage Intacct, Dynamics GP, and QuickBooks Enterprise the setup is similar. The result is the ERP keeps the invoice balance as the system of record and Strkr becomes the collector work layer.
How does Strkr handle the Fair Debt Collection Practices Act for collection letters?
Strkr templates respect the FDCPA notice requirements where the customer is subject to FDCPA (commercial collections against individual or sole-proprietor debtors). The initial validation notice template, the mini-Miranda language, and the dispute-right notice flow are built into the dunning cadence for applicable customer types. For purely commercial B2B collections against incorporated entities FDCPA does not apply, and the templates loosen accordingly. The admin can tune the template library per state law variation. The audit log captures every outbound send with timestamp, template, and recipient for compliance review.
Can Strkr handle a payment plan with scheduled installments?
Yes. The payment plan object captures the installment schedule, the installment amount, the breakage alert, and the current balance against the plan. The customer gets automated installment reminders two business days before the installment date. A missed installment flags the account and routes to the AR manager. Two consecutive missed installments escalate to the collector queue with the plan terminated and the full balance returned to the aging bucket. 42 percent of plans run clean to completion. The reporting captures plan completion rate for the controller review.
What does Strkr cost compared to Billtrust, HighRadius, Versapay, or Zendesk Collect?
Strkr prices flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial and no implementation partner retainer. Billtrust runs a six-figure annual contract typical for mid-market. HighRadius runs similar enterprise-tier pricing. Versapay runs mid-five-figure to low-six-figure annual. Zendesk Collect prices around $89 to $149 per user per month depending on tier. The AI Enhancement add-on at $49 a month with 5,000 Strkr AI calls included (and $0.012 per call overage) brings AI drafting at a cost that stays visible on the invoice rather than hidden inside a credit meter.
How does Strkr handle collector productivity reporting and right-party-contact tracking?
The collector activity object captures every outbound touch (call, email, portal note, letter) with timestamp, channel, outcome taxonomy (left voicemail, promise obtained, dispute raised, no answer, do-not-contact, right-party-contact), and attached notes. The productivity report rolls up weekly and monthly with touches-per-day, right-party-contact rate, promise-to-pay conversion rate, and recovery dollars per collector. The AR manager uses the report in the one-on-one with each collector. The right-party-contact calculation handles multi-contact customers correctly so the collector gets credit for the actual-person conversation rather than a reception-desk hit.
What is the compliance posture for a receivables shop or an in-house AR team?
Strkr is HIPAA compliant with a BAA available on request (relevant for healthcare receivables where PHI touches invoice detail), GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager, and the audit log captures every record read and write with 90-day default retention tunable per tenant to the retention ceiling required by state law or carrier policy. SSO (SAML and OIDC) is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers, and Verified Domains are live on Scale tier.
Can the AR team share the Strkr workspace with the sales team for credit hold visibility?
Yes. Strkr runs a single workspace with role-based visibility. The AR team sees the AR cockpit, the collector queues, and the dispute workflow. The sales team sees the credit hold escalation list and the customer relationship notes for AR-flagged accounts. The controller can grant the sales rep three business days of warning before a credit hold goes into effect, which preserves the customer relationship and often resolves the balance before the hold applies. The role model gives the AR team control over sensitive fields (credit limit, risk tier, dispute detail) while sharing the operational context the sales team needs.
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