Payment Processing Automation

In this deep dive edition of Fintech Wrap Up, I explored how AWS is enabling businesses to build modern credit card payment processing platforms and payment gateways with its powerful cloud infrastructure. As payments become increasingly digital, AWS provides a secure, scalable, and resilient solution to handle credit card transactions efficiently and in real-time. By using services like API Gateway, DynamoDB, Elastic Kubernetes Service (EKS), and Amazon Managed Streaming for Apache Kafka, businesses can meet high availability and low latency requirements while adhering to compliance standards like PCI DSS. The article delves into the lifecycle of credit card transactions, from authorization to clearing and settlement, offering detailed reference architectures for both the acquiring and issuing processes. It highlights AWS’s capabilities to support global expansion, manage compliance in different regions, and protect sensitive data through tools like AWS Payment Cryptography and ElastiCache. Key features include the ability to scale operations during seasonal spikes, maintain stringent security protocols, and automate monitoring for real-time issue detection. Whether businesses are enhancing their fraud prevention mechanisms, optimizing tokenization processes, or ensuring compliance with industry regulations, AWS’s cloud infrastructure provides the flexibility and reliability needed to succeed in today’s fast-evolving payments ecosystem. If you’re looking to future-proof your payment systems, this deep dive is packed with essential insights! #fintech #payments #aws #cardprocessing Prasanna Thomas Richard Panagiotis Tony Nicolas Arjun Dr Ritesh Sandra

🚨 𝐇𝐨𝐰 𝐭𝐨 𝐏𝐨𝐰𝐞𝐫 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 — by DEUNA👇 Modern payments no longer just process — they reason, adapt, and optimize. This post breaks down the architecture of an AI-native payments ecosystem — and how leading enterprises are using it to reduce friction, improve approval rates, and drive intelligent growth. — 𝐓𝐡𝐞 𝐄𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 AI connects the dots between data, security, speed, personalization, and behavior — enabling intelligent action in real time. 🔹 Security → Real-time fraud scoring and behavioral anomaly detection. Microsoft leverages AI to detect coordinated fraud attacks across geographies, using real-time IP fingerprinting and dynamic 3DS decisions. 🔹 Speed → Automated decisioning and optimized checkout logic. eBay deploys AI models to streamline its global checkout flow, dynamically adjusting the experience by market, device, and payment method trends. 🔹 Personalization → Adaptive routing and dynamic UX. Checkout.com enables merchants to personalize payment options at checkout based on customer history, issuer behavior, and local preferences. 🔹 Behavioral Data → Continuous learning from patterns in issuer behavior, retries, fraud triggers, and consumer habits. — 𝐓𝐡𝐞 𝐂𝐨𝐫𝐞 𝐋𝐚𝐲𝐞𝐫𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 (hypothetical examples) 1️⃣ Unified Data → Consolidation of data from PSPs (e.g., Getnet, Stripe, Payplug), fraud tools, CRMs, and internal commerce systems. → eBay standardizes transaction-level data across global PSPs and marketplaces to enable unified performance insights and routing logic. 2️⃣ Agentic Intelligence → A reasoning layer that evaluates and ranks millions of routing paths, retries, and fraud strategies based on expected outcome. → Getnet merchants in LATAM use ATHIA to switch routing strategies in real time during issuer outages. 3️⃣ Machine Learning → ML models tailored to commerce — optimizing for approval rates, fraud risk, customer type, and payment method behavior. → Google uses ATHIA’s ML models to proactively adjust retry windows for license renewals based on historical bank acceptance timing. 4️⃣ Analysis & Visualization → Data is transformed into dynamic visualizations that surface anomalies and opportunities without requiring deep SQL or manual dashboards. → Stripe provides merchants with visual routing breakdowns and simulated outcomes — 𝐓𝐡𝐞 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: 𝐀 𝐒𝐲𝐬𝐭𝐞𝐦 𝐓𝐡𝐚𝐭 𝐀𝐜𝐭𝐬 — 𝐍𝐨𝐭 𝐉𝐮𝐬𝐭 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 ✅ Contextual checkout experiences by geography and device ✅ Lower transaction costs via intelligent acquirer routing ✅ Higher approval rates through dynamic retries ✅ Reduced fraud and false declines with adaptive scoring AI in payments is no longer experimental. It’s the backbone of scalable, programmable commerce. Intelligence in motion. — Source: DEUNA ► 𝐓𝐡𝐞 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐁𝐫𝐞𝐰𝐬: https://lnkd.in/g5cDhnjC ► Connecting the dots in Payments... | Marcel van Oost

Late payments rarely look like a crisis, until they are. Revenue is booked. Customers are active. Everything appears fine. But cash moves slower, forecasting gets harder, and finance teams quietly spend their time chasing money instead of running the business. An automotive services company came to us with a serious delinquency problem in their AR. They did not hire collectors. They did not change payment terms. They did not pressure customers. They deployed Chargezoom’s autonomous, intelligent dunning, and only for late invoices. Here is what happened in one quarter: • Late invoices paid 46.9% faster • Payment time dropped from 40.5 days to 21.5 days • $2.7M collected in the first 85 days • $11.6M in annual revenue accelerated by 19 days • ~$604K in working capital freed up • 112 hours of manual collections work eliminated The behavior change was unmistakable: • Monday payments doubled • 51% of customers paid within one week of the first outreach • Median response time was 7 days This was not static automation. It was not a fixed email schedule or a generic reminder sequence. Chargezoom’s autonomous AR adapts timing, messaging, and follow up based on intelligence from the Payment Graph, not hardcoded workflows. Most AR automation platforms stop at task automation. They send the same messages, on the same schedule, to every customer. That is not autonomy. That is just software doing what it was told. Autonomous AR requires intelligence. It requires understanding how customers actually pay, not how a workflow was designed. And one more important point. These results came from delinquent invoices only. When intelligence is applied to the real bottleneck, the impact is immediate. Autonomous AR is not about sending more reminders. It is about building systems that know when, how, and why customers pay.

Stop sending "Quick reminder on that invoice" emails forever. Here's how we tie in an automated system for some of our clients: - Connect Xero to Stripe natively or connect Quickbooks to Acodei - Set up recurring invoice templates - Enable auto-pay options for clients - Automate payment matching in your books Results from one agency client: - Reduced payment delays by 84% - Saved 12 hours per month on invoice admin - Improved cash flow prediction accuracy to 94% - Zero additional dollars spent hiring collection agenices Offering auto-pay doesn't just help you - it helps your clients too. I find that MOST clients happily chose auto-pay when given the option because: - No manual processing each month - Simpler expense tracking - Better budgeting on their end But here's what most miss: Don't just automate the invoices. Automate the ENTIRE system: - Payment reminders - Receipt generation - Bookkeeping entries - Revenue recognition - Tax documentation Your time is worth more than chasing payments.

I've processed hundreds of AP bills in my career. And I can tell you, most teams are doing it the hard way. So I put together a complete AP cheat sheet that covers everything you need to know about managing accounts payable efficiently. (Check the first link in the comments for the tool I use to automate this) → What is Accounts Payable? AP represents the money your company owes to vendors and suppliers for goods and services purchased on credit. It's one of those critical functions that can either run smoothly or become a complete nightmare → How to Calculate Accounts Payable The formula is pretty straightforward. Beginning Balance + New Bills minus Payments equals your Ending AP Balance. This calculation helps you track what you owe at any point in time → How to Forecast Accounts Payable You need to follow the BASE formula to create accurate AP forecasts. There are two methods I use with my clients. Method 1 is calculating Days Payable Outstanding. Method 2 is tagging each GL account to a payment cadence like Immediate, Net 30, Net 45, or Net 60. Both work well, it just depends on how detailed you want to get → Optimizing Your AP Function There are some clear dos and don'ts here. Set up group email addresses for AP communications instead of siloing everything to one person. Collect vendor agreements and W9 forms upfront, not when you're scrambling to make a payment. Invite vendors to their own portal for banking details rather than chasing them down via email. And please, don't blindly trust unverified vendors or process payments manually without proper approvals. → Common AP Roles The AP Clerk handles day to day bill processing and payment execution. The Controller oversees financial operations and AP strategy. The Procurement Specialist manages vendor relationships and purchase orders. → So How Do You Actually Automate All of This? Manual AP processing is slow, error prone, and really hard to scale. BILL handles the entire workflow in four steps: capture bills with minimal manual entry, route approvals based on your business rules, pay through multiple methods including ACH and credit card, and sync automatically with accounting systems like QuickBooks and Xero. For businesses managing multiple entities, BILL consolidates everything so you can approve and pay bills across locations in one place. Businesses save an average of 12 hours monthly and reduce their AP processing time by up to 80%. 98% of customers feel more secure with BILL, and most see benefits within two weeks. If you're still processing AP manually, you're losing time and money every month. BILL is offering a live demo plus a $100 Amazon gift card to see how their platform works. Check it out at: https://lnkd.in/eEwvHTX2 === How much time does your team spend on AP each month?

CFOs and finance teams are constantly bogged down by slow, manual expense approvals. Employees submit claims, managers delay responses, and finance teams waste hours chasing approvals. This bottleneck disrupts cash flow visibility, delays financial reporting, and creates compliance risks. Robotic Process Automation (RPA), using tools like UI Path, transforms this outdated process by automating policy checks, approvals, and escalations. Here’s how: ✅ Expense claims are auto-checked against policy compliance. ✅ Approved expenses move instantly to reimbursement—no manual processing. ✅ Flagged expenses are escalated automatically to the right person, reducing back-and-forth. Without automation, finance teams are stuck spending hours every week on unnecessary admin work instead of focusing on forecasting, cost optimization, and strategic growth. A CFO who adopted RPA saved 8 hours per week—freeing up valuable time for high-impact financial planning. If expense approvals are still a bottleneck in your company, it’s time to automate. RPA eliminates inefficiencies, ensures compliance, and lets finance teams focus on what really matters. Are you ready to transform your finance operations? Let’s connect and explore how automation can make it happen. #Automation #RPA #CFO #FinanceLeadership

Cash Application process: Step 1: Receive Payment 1. Receive payment from customer (check, wire, ACH, credit card) 2. Verify payment details (amount, date, customer ID) 3. Record payment in cash receipts journal or payment register Step 2: Verify Payment Details 1. Confirm payment amount and date 2. Verify customer ID and account information 3. Check for any payment discrepancies (e.g., short payments, overpayments) Step 3: Match Payment to Invoice 1. Search for outstanding invoices matching payment amount and customer ID 2. Verify invoice details (date, amount, invoice number) 3. Match payment to corresponding invoice(s) Step 4: Apply Payment to Invoice 1. Apply payment to matched invoice(s) 2. Update invoice status to "paid" or "partially paid" 3. Record payment application in accounts receivable ledger Step 5: Update Accounts Receivable Records 1. Update customer account balance 2. Reflect payment in accounts receivable aging report 3. Update cash balance and general ledger Step 6: Generate Payment Confirmation 1. Generate payment confirmation or receipt 2. Send confirmation to customer (email, mail, or fax) 3. File payment confirmation for audit purposes Step 7: Reconcile Cash Application 1. Reconcile cash application to bank statements 2. Verify accuracy of payment application 3. Investigate and resolve any discrepancies Step 8: Archive Payment Documentation 1. Archive payment documentation (checks, receipts, etc.) 2. Maintain electronic records of payment applications 3. Ensure compliance with record retention policies Automated Cash Application Steps: 1. Electronic payment file receipt (e.g., lockbox, ACH) 2. Automated payment matching and application 3. System-generated payment confirmation 4. Real-time updates to accounts receivable records 5. Automated reconciliation and discrepancy resolution

3 steps to automate Accounts Payable: Step 1: Automate data extraction Rather than re-keying each field, use tools that utilize OCR technology to extract invoice details directly from PDFs and emails. This removes any human errors. Your solution needs to easily sync with your accounting software through integrations. Look for flexible tools that can handle invoices in any format. Step 2: Maintain validation rules Define rule sets for valid GL codes, dates, vendors, etc. Digital systems methodically apply these rules to proactively flag discrepancies before they impact your financials. Consider integrations with your master vendor file to auto-validate payee details against your records. Automated exception handling saves time. Step 3: Monitor for anomalous activity Configure alerts and reports to surface irregular patterns that could indicate issues. Compare pricing changes, irregular invoice periods, or amounts outside ordinary thresholds. Built-in intelligence and benchmarks through solutions like Glean.ai help avoid unnecessary overpayments and compliance lapses. Taking an automated approach is key to more savings and growth.

Is your AP process truly agentic, not just automated? We’re entering the age of agentic finance—where AI agents don’t just assist; they act, decide, and optimize entire workflows. 🔹 Invoice Capture Agent Scans and extracts key invoice data from PDFs, emails, and paper—automatically, accurately. 🔹 Validation & Matching Agent Matches invoice data to POs, contracts, and goods received—handling exceptions without delay. 🔹 Approval Routing Agent Routes invoices contextually to the right approvers based on thresholds, vendors, and categories. 🔹 Payment Scheduling Agent Schedules payments, maximizes early-pay discounts, and syncs with your ERP or financial system. 🔹 Inbox Agent Responds to supplier emails, triages issues, and handles routine inquiries autonomously. 🔹 Analytics & Learning Agent Learns from past exceptions, tracks KPIs like cycle time and error rate, and continuously improves. 👉 This is not traditional automation. This is a fully agentic, AI-driven back office—faster, smarter, and leaner. At TekScape, we believe MSPs and solution providers have a responsibility to guide their clients through this transformation—not just with tools, but with vision. The real question isn’t “can we automate it?” It’s “how fast can we make your business think for itself?” #AI #AgenticAutomation #FinanceTransformation #TekScape #Copilot #FutureOfWork #DigitalOps #AccountsPayable #MSPLeadership #ProcessImprovement #WorkflowAutomation Tekscape, Inc.