RPA for Back Office Automation

🦷 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 automated 60% of our back-office operations using AI agents. We saved $2M/year. Now we’re open-sourcing how. Why? Because traditional “automation” is broken. RPA scripts crack with the smallest change. One UI shift, and you’re back to square one. That’s why 50% of RPA projects fail quietly. We needed a system that adapts. Learns. Self-heals. So we built one. With real agentic AI. What changed? → Repetitive ops didn’t just disappear — they evolved → Agents now read data, act on it, and adjust in real-time → Every Slack ping, CRM task, and internal update — handled, end-to-end This isn't a slide deck or a blog. It’s the actual blueprint that runs our business. And we’re opening it up. Here’s what you’ll get: ▪️Full backend system map (how agents flow across infra) ▪️Security + DevOps stack (audited for enterprise) ▪️Real prompt templates, fallback logic, error flows ▪️Screenshots from our own playbooks + dashboards This is the stuff we charged $100K for. You’re getting it free. 👇 Want the blueprint? Comment “Ops” and I’ll send it to you. 🔁 Repost to help more teams automate the boring stuff. Follow Gaurav Bhattacharya for more no-fluff GTM + AI system drops.

Automate the Boring, Focus on the Meaningful! A friend of mine recently reached out with a manual task that had been eating up hours of their time every single week—a repetitive workflow that looked something like this: 1️⃣ Log into a website 2️⃣ Click on "All Orders" 3️⃣ Click on "Action" → Select "Export CSV" 4️⃣ Add a shipping date range 5️⃣ Check a couple of boxes 6️⃣ Click on "Export CSV" again 7️⃣ Format the CSV 8️⃣ Upload that CSV to a specific tab in a Google Sheets file 9️⃣ Repeat this every 30 minutes! Once I understood the full process, I started thinking: 🔹 Could a headless browser be required? 🔹 Are there APIs being triggered that we could leverage? 🔹 How can we make this as efficient as possible? A few hours later, I had a Python-based script running that now does all of this in under 10 seconds—automatically, every 30 minutes. 🎯 💡 Time saved? If this took just 3 minutes manually (being optimistic), that’s 6 minutes per hour → 48 minutes per workday → 4 hours per week → ~16 hours per month! That’s 2 full workdays every month freed up for something actually meaningful. This got me thinking—how many of us are still stuck doing repetitive, mindless tasks that could easily be automated? How much time are we losing? If you have any manual processes at work that you suspect could be automated, let’s chat! 😃 #Automation #RPA #Python #Efficiency #WorkSmarter #SaveTime

What If You Could Make Two Stubborn Coworkers Finally Work Together? You’ve been there: two systems—or “stubborn coworkers”—refusing to cooperate. You need them to share information, but there’s no direct way to connect them. So, you’re stuck doing everything manually: logging in, downloading files, fixing the data, and uploading it all over again. That’s where robotic automation (RPA) comes in, like a reliable assistant that handles it for you: - It logs into the first system, finds the information you need, and saves it. - It cleans it up, formats it, and gets it ready to go. - It logs into the second system, uploads it, and makes sure everything’s in the right place. And it’s not just for this kind of scenario. RPA can handle any repetitive task—or almost anything done on a computer—automatically. Whether it’s data entry, file transfers, or even combining and organizing information, robotic automation can save you hundreds of hours of manual work. What used to take you hours—or even days—is now done in the background, completely automated, just like a human would do it. But you don’t have to lift a finger. Have you ever wished you could stop doing the same task over and over? What would you want a robot to handle for you? #Automation #RPA #TechMadeSimple