Automation doesn’t replace accountability. Over the years, I’ve seen a common trend: when a process isn’t being followed, the quick fix is often to automate a reminder. “Send an email if someone forgets to update a ticket.” “Trigger a notification if a step is missed.” Automation is helpful—I use it every day. But it shouldn't be the only tool we rely on. Certain processes really need a feedback loop—a human one: ▪️ If ticket statuses aren’t being updated, review SLA reports with the team. Show how this affects response and resolution times. ▪️ If you’re not already, manually review completed tickets for quality assurance and talk through what can be improved. ▪️ When it comes to timesheet submissions, discuss them. Approve them intentionally. Help people understand how mistakes impact billing, reporting, or resourcing. When people see how their work connects to the bigger picture—and know that someone is reviewing it—they care more. The quality improves. The habits stick. Automation should support accountability, not replace it. The best outcomes happen when we pair smart systems with thoughtful conversations. Curious how others are balancing automation and accountability—what’s working for you? 👇 Mendy G. Jason P. Kyle Christensen Dean Trempelas Connor Fagan Michael Heaton, MSA
I completely agree. Automation and AI are great augmentation tools, but they're being so heavily pushed as a replacement for people without understanding the roles those people fill. I use automation tools daily that help me reduce time spent on tasks by I imagine at least 20%. But I don't use those tools to replace critical thinking and experience. I may use AI to better refine my writing and communication (sans this comment obviously 😅), but the thoughts and meaning are still mine. I expect to see the pendulum come back the other way at a point where human-driven action, leadership, and intelligence are the demand.
Automation drives scale—but accountability locks in revenue. Denial alerts + weekly huddles = zero in on missing modifiers and E/M nuances—then tie fixes back to dollar impact. Doc-scrub pings + sample reviews = catch split/shared and comorbidity edge cases before they slip through. AR chase bots + live payer calls = turn 120+-day queues into prioritized payments. At WeBill, we blend smart automations with human feedback loops to maximize accuracy, compliance, and cash flow. How are you pairing bots with live accountability in your RCM workflows? 👇
You said my favorite word <3 I see the same shit... Automation having an expectation to remove leadership and mentorship... "buy this and you'll replace one person!" When in reality you're creating scale but also adding a complexity that needs to be managed, by what? A person... Act Your Wage and invest in patching your talent stack as there is a solid chance your leaders are intimidated of investing time into managing people because you're currently investing their time into the wrong thing...
Totally agree. Automation isn’t the villain, laziness and the avoidance of real leadership are. Without human leadership, feedback, and connection, AI and automation can easily start to feel like another form of robotic micromanagement. I'm sure there's a movie about this.
But Cassie I don’t waaaaant to do the work
HaloPSA/CIPP/Hudu/Ninja Nerd.
1wIt’s extremely important that the team are all sharing the same WHY and Values. Full transparency for the past 12 months Renada has been in autopilot. None of us clearly understood WHY we’re doing what we’re doing. None of us were aligned on our core values and nobody had any defined responsibility. That doesn’t mean we weren’t crushing it, it just means we were doing it directionless. By definition it’s hard for me to hold my team accountable as I’ve not communicated what that even means. The biggest issues we run into everyday is that our partners are trying to ‘technically’ fix these issues when in reality it’s a leadership problem not a technical one. You and your team have to be aligned. Automation is curated from strict processes and a good automation holds the person inputting data accountable.