Case Study
How Rewst automated revenue recognition and prepaids with Maxima
Case Study
How Rewst automated revenue recognition and prepaids with Maxima
Case Study
How Rewst automated revenue recognition and prepaids with Maxima
OUTCOMES
20 → 10
Reduction in close days since automating deferred revenue and prepaids
8 hours → 15 mins
Time reduced for deferred revenue recognition each month
1,000 invoices per month
Fully automated from billing system to ERP via Maxima
OUTCOMES
20 → 10
Reduction in close days since automating deferred revenue and prepaids
8 hours → 15 mins
Time reduced for deferred revenue recognition each month
1,000 invoices per month
Fully automated from billing system to ERP via Maxima
About Rewst
Rewst is a leading robotic process automation platform purpose-built to automate high-volume workflows like onboarding, billing, ticket remediation, and phishing response. As the company scaled quickly—growing from about $2 million to roughly $20 million in ARR and expanding its customer base from 500 to more than 1,000—they triggered their first audit, putting a premium on accuracy and evidence.
For Jason Lopez, Senior Finance Director, that trajectory reshaped the accounting and finance mandate. "Rapid growth only works if you automate the busywork and keep accurate data flowing into the books. With our first audit on the horizon, getting every transaction right every month became non-negotiable."
Challenge
Rewst's close process required stitching together data from disconnected systems. Billing, payments, expenses, bank feeds, and the ERP sat in silos. The team manually pulled files, reshaped them in spreadsheets, built deferred revenue schedules, and uploaded entries to keep the ledger current. Missing fields and batch-level data made matching difficult. Nothing flowed cleanly end-to-end—constant downloads, reformatting, pivot tables, mismatches, and error checks.
"Everything was manual," says Jason Lopez. "We were downloading reports, uploading reports, and calculating schedules in spreadsheets with hundreds of thousands of lines, formulas, VLOOKUPs, and SUMIFs. You just hoped it wouldn't crash mid-use."
The result was predictable: a close that stretched to roughly 20 business days and an exhausting volume of repetitive work. More than 10 hours a week went to low-level tasks for revenue and prepaids instead of analysis.
Evaluation
With a first audit approaching, accuracy became the top priority. Automation had to eliminate manual work without adding risk. "The bar was simple," Jason says. "Do what a careful accountant would do, only faster and without human error.’"
He tested both ends of the market. Legacy tools were rigid, expensive, and focused on task coordination rather than transaction-level automation. "The problem with that generation of software like Floqast and BlackLine is that they're pre-built solutions that try to fit your use case into their box, with brittle automations and huge implementation lifts." On the other side, many AI-native products couldn't guarantee accuracy. "If a platform is 50 to 57 percent accurate, that might as well be zero. We process over a thousand invoices a month. Even a 10 percent miss means 100 invoices to check. At two minutes each, that's over three hours wasted."
That's when he found Maxima. What earned his trust was how closely it fit his use case: an AI-first automation platform that ingests data, organizes it to his specifications, automates to his rules, and presents results for a quick review and approval—delivering 100% accuracy with only two weeks of implementation.
Solution
Rewst began with revenue automation. Within weeks, the change was visible. The sprawling spreadsheets disappeared. Maxima ingested billing data daily, built full deferred revenue schedules, and prepared entries that flowed into the ERP for review and approval. Crucially, it introduced true transaction-level automation with a full waterfall subledger—previously out of reach for a lean team processing more than a thousand invoices each month.
At the core is Maxima’s revenue waterfall subledger. It ingests invoices and payment data, sets up schedules, amortizes revenue, and uses AI to identify customers in the general ledger so entries post to the right accounts without manual coding. Because Maxima holds complete transaction lineage, reviews are fast and evidence is always available, all without bloating the ERP.
With end-to-end, AI-driven automation for revenue and prepaids, Jason’s team now:
Automates 100% of revenue schedules with a five minute review before posting
Runs a continuous close for revenue and prepaids instead of waiting for month end
Maintains an audit-ready deferred revenue waterfall and complete audit trail
Books accurate entries to the ERP while keeping data easy to trace and verify
Impact
Before Maxima, booking revenue and prepaids took more than ten hours. Now it is two clicks and a five minute review. “Ten hours back each month becomes ten hours for higher-value work. If that time was worth $30 an hour and is now applied to $200 an hour work, that along justifies the investment”
More important is the shift in how the team operates. Jason has real-time visibility into ARR, cash, and invoicing and can answer questions immediately. “This kind of visibility builds credibility with leadership and the Board. When they ask for data, we have it. No waiting, no scrambling. We're not just historians of what happened last month anymore and we can talk about trends instead of rehashing the past. Automation hasn't just saved time—it's changed how the team operates. They're faster, more accurate, and more strategic. It's made accounting at Rewst a proactive function, not just a reactive one.”
The platform continues to grow with Rewst’s needs. Lease accounting is planned for the next renewal, and a close checklist will be added as the team expands. “We already have Maxima, so we can add the close checklist instead of buying a separate tool.”
About Rewst
Rewst is a leading robotic process automation platform purpose-built to automate high-volume workflows like onboarding, billing, ticket remediation, and phishing response. As the company scaled quickly—growing from about $2 million to roughly $20 million in ARR and expanding its customer base from 500 to more than 1,000—they triggered their first audit, putting a premium on accuracy and evidence.
For Jason Lopez, Senior Finance Director, that trajectory reshaped the accounting and finance mandate. "Rapid growth only works if you automate the busywork and keep accurate data flowing into the books. With our first audit on the horizon, getting every transaction right every month became non-negotiable."
Challenge
Rewst's close process required stitching together data from disconnected systems. Billing, payments, expenses, bank feeds, and the ERP sat in silos. The team manually pulled files, reshaped them in spreadsheets, built deferred revenue schedules, and uploaded entries to keep the ledger current. Missing fields and batch-level data made matching difficult. Nothing flowed cleanly end-to-end—constant downloads, reformatting, pivot tables, mismatches, and error checks.
"Everything was manual," says Jason Lopez. "We were downloading reports, uploading reports, and calculating schedules in spreadsheets with hundreds of thousands of lines, formulas, VLOOKUPs, and SUMIFs. You just hoped it wouldn't crash mid-use."
The result was predictable: a close that stretched to roughly 20 business days and an exhausting volume of repetitive work. More than 10 hours a week went to low-level tasks for revenue and prepaids instead of analysis.
Evaluation
With a first audit approaching, accuracy became the top priority. Automation had to eliminate manual work without adding risk. "The bar was simple," Jason says. "Do what a careful accountant would do, only faster and without human error.’"
He tested both ends of the market. Legacy tools were rigid, expensive, and focused on task coordination rather than transaction-level automation. "The problem with that generation of software like Floqast and BlackLine is that they're pre-built solutions that try to fit your use case into their box, with brittle automations and huge implementation lifts." On the other side, many AI-native products couldn't guarantee accuracy. "If a platform is 50 to 57 percent accurate, that might as well be zero. We process over a thousand invoices a month. Even a 10 percent miss means 100 invoices to check. At two minutes each, that's over three hours wasted."
That's when he found Maxima. What earned his trust was how closely it fit his use case: an AI-first automation platform that ingests data, organizes it to his specifications, automates to his rules, and presents results for a quick review and approval—delivering 100% accuracy with only two weeks of implementation.
Solution
Rewst began with revenue automation. Within weeks, the change was visible. The sprawling spreadsheets disappeared. Maxima ingested billing data daily, built full deferred revenue schedules, and prepared entries that flowed into the ERP for review and approval. Crucially, it introduced true transaction-level automation with a full waterfall subledger—previously out of reach for a lean team processing more than a thousand invoices each month.
At the core is Maxima’s revenue waterfall subledger. It ingests invoices and payment data, sets up schedules, amortizes revenue, and uses AI to identify customers in the general ledger so entries post to the right accounts without manual coding. Because Maxima holds complete transaction lineage, reviews are fast and evidence is always available, all without bloating the ERP.
With end-to-end, AI-driven automation for revenue and prepaids, Jason’s team now:
Automates 100% of revenue schedules with a five minute review before posting
Runs a continuous close for revenue and prepaids instead of waiting for month end
Maintains an audit-ready deferred revenue waterfall and complete audit trail
Books accurate entries to the ERP while keeping data easy to trace and verify
Impact
Before Maxima, booking revenue and prepaids took more than ten hours. Now it is two clicks and a five minute review. “Ten hours back each month becomes ten hours for higher-value work. If that time was worth $30 an hour and is now applied to $200 an hour work, that along justifies the investment”
More important is the shift in how the team operates. Jason has real-time visibility into ARR, cash, and invoicing and can answer questions immediately. “This kind of visibility builds credibility with leadership and the Board. When they ask for data, we have it. No waiting, no scrambling. We're not just historians of what happened last month anymore and we can talk about trends instead of rehashing the past. Automation hasn't just saved time—it's changed how the team operates. They're faster, more accurate, and more strategic. It's made accounting at Rewst a proactive function, not just a reactive one.”
The platform continues to grow with Rewst’s needs. Lease accounting is planned for the next renewal, and a close checklist will be added as the team expands. “We already have Maxima, so we can add the close checklist instead of buying a separate tool.”
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The first agentic AI platform for enterprise accounting
© 2025 Indus AI Technologies, Inc. All rights reserved.
Stay up to date on Maxima and AI accounting
The first agentic AI platform for enterprise accounting
© 2025 Indus AI Technologies, Inc. All rights reserved.
Stay up to date on Maxima and AI accounting
The first agentic AI platform for enterprise accounting
© 2025 Indus AI Technologies, Inc. All rights reserved.




