Automating Cash Flow Processes

🦷 Dental support organizations (DSOs) today face intense pressure to streamline revenue cycle operations. 📊 With 60–80% of practice revenue tied to insurance reimbursements, manual RCM processes – from eligibility checks to claims posting – create bottlenecks, errors and revenue leakage. For example, industry surveys show denial management is the single most time-consuming task (76% report it as their top hassle) and even prior authorizations and benefit verifications rank highly (60% and 59%, respectively). Coupled with front-office labor shortages, this squeezes cash flow and EBITDA. Automating RCM tasks with robotics and AI is no longer optional: it’s a strategic imperative. DSOs have huge scale but also huge complexity. Submitting claims, reconciling payments and chasing patient balances can involve dozens of portals and data systems. Every manual claim entry or status check risks a typo or delay. Robotic Process Automation (RPA) can mimic what in-house staff do – logging into payer portals, copying data, and populating patient accounts – at machine speed. For instance, an RPA bot can automatically pull insurer payments from portals and match them to rendered treatments, eliminating dozens of tedious clicks. The result is fewer posting errors and faster payment cycles, enabling staff to focus on exceptions. Likewise, AI (especially NLP and machine learning) can sift unstructured data (like EOBs or clinical notes) to spot issues before they become denials. In short, automating eligibility checks, claims entry and payment posting frees DSOs and their affiliated practices from routine tasks and slashes common error rates. Key challenges in DSO RCM – high denial rates, patient collections, and complex billing – are ideal targets. On a DSO’s scale, even a 10–20% gain in collections efficiency can translate to multi-million-dollar improvements in EBITDA. RCM automation reduces cost-to-collect and accelerates reimbursements. The freed-up capacity allows staff to manage more complex, value-adding activities like tackling complicated denials and tailoring payment strategies – for example, negotiating outlier cases or improving patient engagement – rather than routine data entry. DSO executives should view RPA and AI as complementary tools in the RCM toolkit. 👇 Key use-cases include: 1️⃣ Automated Eligibility & Insurance Verification 2️⃣ Intelligent Claims Processing 3️⃣ Automated Payment Posting & Reconciliation 4️⃣ Denials Triage and Appeals 5️⃣ Automated Patient Billing & Collections 6️⃣ AI-Driven Analytics & Forecasting 💰 By embracing RPA and AI in claims processing, denial management and patient collections, DSOs can plug revenue leaks and turn administrative cost savings into EBITDA growth. 🔔 Follow me (Sina S. Amiri) for more insights on transforming dental RCM through AI and automation. #Healthcare #Dental #Technology #RevenueCycleManagement #ArtificialIntelligence

"We just saved $24,000 a year by fixing one broken process."   That's what my construction client told me after we transformed their accounts payable system. As a fractional controller, these are the wins that get me excited.   Let me share what was happening behind the scenes. This growing construction company was drowning in paperwork - their team was spending 15-20 hours weekly manually entering invoices, chasing down approvals from project managers in the field, and reconciling payment records. Late payments were straining vendor relationships, and they had zero visibility into their cash flow.   Here's what we did: We implemented BILL as their AP automation solution. The transformation was remarkable. Within just two months: ✔️ Their AP processing time dropped to just 3 hours per week ✔️ Project managers could approve invoices right from their phones ✔️ Vendors started getting paid consistently on time ✔️ They saved $2,000 monthly in administrative costs ✔️ Most importantly, they gained real-time visibility into their cash flow   But the best part? 𝗧𝗵𝗲𝗶𝗿 𝗔𝗣 𝗰𝗹𝗲𝗿𝗸 𝘁𝗼𝗹𝗱 𝗺𝗲 𝘀𝗵𝗲 𝗳𝗶𝗻𝗮𝗹𝗹𝘆 𝗳𝗲𝗹𝘁 𝗶𝗻 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝗳 𝗵𝗲𝗿 𝘄𝗼𝗿𝗸 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗱𝗿𝗼𝘄𝗻𝗶𝗻𝗴 𝗶𝗻 𝗽𝗮𝗽𝗲𝗿𝘀 𝗮𝗻𝗱 𝗲𝗺𝗮𝗶𝗹𝘀. She's now focusing on more strategic tasks like vendor relationship management and process improvement.   I've seen this pattern repeatedly in my work with various businesses. 𝗠𝗮𝗻𝘂𝗮𝗹 𝗔𝗣 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗶𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 - 𝘁𝗵𝗲𝘆'𝗿𝗲 𝗰𝗼𝘀𝘁𝗶𝗻𝗴 𝘆𝗼𝘂 𝗺𝗼𝗻𝗲𝘆 𝗮𝗻𝗱 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹𝗹𝘆 𝗱𝗮𝗺𝗮𝗴𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘃𝗲𝗻𝗱𝗼𝗿 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀.   _____________________________________________ I'm Melissa Armstrong, CPA* and founder of SteadyHand Accounting & Advisory. Want to get insider tips and tricks from a powerhouse accountant on how to streamline your accounting operations? 𝗝𝗼𝗶𝗻 𝗺𝘆 𝗩𝗜𝗣 𝗺𝗮𝗶𝗹𝗶𝗻𝗴 𝗹𝗶𝘀𝘁 (𝗹𝗶𝗻𝗸 𝗶𝗻 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀).   *𝗡𝗼𝗽𝗲𝗅 𝗜 𝗱𝗼𝗻'𝘁 𝗱𝗼 𝘁𝗮𝘅𝗅

In 2025, I’ve sat in the war rooms of 50+ enterprise finance teams still buried in workflows that should’ve been automated in 2018. Here’s what they don’t know about autonomous finance: Ask most teams how many transactions require a spreadsheet or Slack thread before they’re booked… And the answer’s always the same: ”Too many” Everyone talks about autonomous finance like it’s some sci-fi dream. Here’s the real definition, the only one that matters: The percentage of transactions your system processes end-to-end with zero human edits. That means: • The transaction is piped in automatically via API. • It’s classified with accounting-aware logic. • It’s mapped to the correct GL. • It’s routed to the right entity. And it’s sent for approval without anyone touching it. That’s autonomy. You log in. Click approve. Move on. At DualEntry, we’ve seen customers hit 99% autonomous…. simply because the infrastructure is built to make that level of automation possible. Here’s the playbook: 1/ Start with ingestion. Not a CSV upload. Structured data from every bank, card, and vertical system. We’ve built 13,000+ integrations to make sure you never have to touch an Excel file again. 2/ Apply accounting-aware logic. The system needs to know if that $700 Uber transaction is a ride or out-of-policy Nobu sushi. Rule-based engines don’t get that. Ours does. 3/ Allow operators to set the rules. You don’t need an engineer to customize workflows. Finance teams build the logic themselves. 4/ Feed the system with feedback. Every correction a controller makes improves the model. The AI doesn’t just guess. It learns. 5/ Track everything. We monitor hundreds of thousands of behavioral analytics events across the platform. If someone clicks too many times, opens a new tab, or hovers for too long, we optimize the flow. And it’s not just about bookings. • Budget overruns are flagged in real time. • Accruals are suggested before month-end. • Multi-entity workflows run without handholding. • M&A diligence is run live in Dual Entry. No reconciliation hell. Autonomous finance is operational now. And here’s the metric that matters: What percentage of your transactions can run untouched, start to finish? If the answer is below 90%, you’re paying the price in headcount, close delays, audit risks, and burnt-out operators. Track that number like you track cash. Because every manual edit is a liability. Autonomy is no longer a tagline - but the actual foundation for modern finance. Start acting like it.

Cash is the lifeblood of every business. Yet too often, CFOs can’t see beyond their next few bank deposits. That’s why the 13-week cash flow forecast has become the gold standard. It bridges the gap between daily cash management and annual budgets, enabling finance teams to spot shortfalls 8–10 weeks before they hit. I've seen firsthand how easy it was to get blindsided by timing mismatches, being solvent on a monthly report, but squeezed in the middle of the month. A weekly rolling view solves that problem and turns finance from reactive firefighters into proactive advisors. What makes it even more powerful today is automation. Using platforms like Abacum means you can eliminate the heavy manual work. → System integration: Direct connections to accounting systems → Data validation: Automatic checks for missing or inconsistent data → Variance analysis: Automated comparison of forecast vs. actuals → Collaboration tools: Workflows for cross-department input → Version control: Clear tracking of changes and assumptions The result? Sharper visibility, fewer surprises, and a finance team that’s always in control.

Super excited to share how 365 Retail Markets transformed their cash flow forecasting across 8 banks with Nilus. Here's the transformation: - From 40+ hours of manual work monthly to automated real-time forecasting - From fragmented data to instant visibility across 8 banks and multiple entities - From reactive cash management to proactive liquidity optimization - From static Excel models to dynamic scenario analysis Before: their Treasury team struggled to maintain forecast accuracy while scaling through acquisitions. Every forecast update meant hours of work piecing together data from siloed systems. Solution: To address these challenges, 365 Retail Markets turned to Nilus for an AI-powered treasury management system (TMS) that could integrate with their existing financial set-up, provide real-time visibility, and optimize cash flow forecasting. Results: 365 Retail Markets was able to fully implement the Nilus platform in just weeks instead of the months it usually takes to onboard a treasury management system. This rapid deployment allowed them to simplify their cash complexity by automating forecasting, empowering them with real-time cash visibility, and reimagining their cash flow management. Their Sr. Treasury Manager said it best: "The Nilus platform uses live bank data and actual ERP payments, projecting cash flow forward for an accurate bottom-up forecast. It delivers an Excel-like experience, minus the manual effort." Most importantly? They maintained this accuracy even while rapidly expanding through acquisitions - something impossible with their previous manual process. This is exactly why we built Nilus  -- to give Treasury teams their time back while improving their forecasting accuracy. Want to see the full transformation story? Case study in comments 👇

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

4 drivers of automation in accounts payable: 1. Invoice processing 2. Payment execution 3. Vendor management 4. Compliance and reporting Let's explore each: 1. Invoice processing This is the biggest initial driver of automation in accounts payable. Manual invoice entry and matching are time-consuming and error-prone. The goal is to implement systems that can automatically capture, code, and route invoices for approval. 2. Payment execution Automating payment processes is important for efficiency and accuracy. But even then, HOW you automate payments is key. Use AI-powered tools to handle payment scheduling, electronic fund transfers, and reconciliation. 3. Vendor management Picking the right vendor management tools will directly impact your automation capabilities. Cloud-based AP software, for example, offers incredible automation benefits. Investing in platforms that can automate vendor onboarding, maintain vendor records, and track vendor performance is advantageous. Manual vendor management won't come with automation benefits. Automated vendor management improves relationships and reduces human error. 4. Compliance and reporting Automation in compliance and reporting can ensure reliability and timeliness without compromising on detail. AI can handle tax calculations and regulatory reporting. Automated systems can generate real-time AP reports and dashboards. The automated processes are not meant to replace human oversight. But to optimize performance and allocate more time for strategic financial planning. But here’s the catch: The true power of AP automation lies in how these capabilities are integrated and leveraged. That's why at Glean.ai, we've built a comprehensive, AI-powered platform that seamlessly combines intelligent invoice capture, optimized payment workflows, automated vendor management, and real-time financial insights. Our solutions don't just optimize individual AP tasks. They create a connected, data-driven AP ecosystem that empowers finance teams to work smarter, not harder. With Glean.ai, you can upgrade AP from a transactional cost center to a strategic asset that drives business growth and resilience. So if you're ready to experience the transformative impact of true AP automation, feel free to reach out.

If your money flow isn’t systemized, your ops are broken. After talking to Mando Sallavanti III, CFP®, CEPA, ChFC® The Queen of Automation, one thing became crystal clear: Most founders treat finances and systems like two separate conversations. They’re not. And that disconnect is silently wrecking their growth. Here’s what Mando’s doing differently, and why it caught my attention: He built a financial ops system. Not a budget. Not a tech stack. A system that automates cashflow the same way I automate lead flow, client onboarding, or service delivery. → Income doesn’t hit checking, it lands in a reservoir account → Rule-based automations move money where it needs to go, investments, ops, taxes, savings → His team sees it all in real-time dashboards, so clients never fall behind It’s operations-first thinking applied to finances. And it works, because it treats money like a business system. Not a monthly guessing game. You don’t need to become a financial advisor to learn from this. You just need to ask: Is my cashflow built on rules and infrastructure, or emotions and habits? Here’s the hard truth: If your business automates marketing but still manually moves money around. You’re not scaling, you’re surviving. You automate for speed, clarity, and growth. Why should your finances be exempt? What part of your operations still isn’t systemized, and is costing you more than you think?

Cash management has always been a trade-off: grow your reserves or keep your liquidity. Ramp’s new Treasury product is tackling this head-on: → 2.5% earnings on operating cash. → 4.38% on excess funds. → AI-powered automation for cash flow, payments, and balance optimization. The result? Every dollar works harder without sacrificing access. But this isn’t just about better yields. It’s about the rise of ‘self-driving finance’. As CFOs demand smarter, integrated tools, Ramp is redefining what financial operations platforms should look like: → Automated. → Intelligent. → Scalable. This also highlights a shift in treasury management—away from reactive cash flow juggling and toward proactive financial strategy. For fintechs, it’s a case study in pairing innovation with customer-centric problem-solving. The big question: Can intelligent tools finally replace the spreadsheets and manual processes still dominating corporate finance? The age of ‘self-driving finance’ is closer than ever.