How Has the COO Role Evolved? 8 Essential Skills You Didn't Anticipate

The traditional COO is dead. My role has shifted from managing people to architecting silicon-carbon synergies. I stopped being a taskmaster and became a systems designer.

The most significant evolution in my leadership at TAOAPEX LTD hasn't been about technology—it's been about the death of vagueness. In the past, I could delegate a "direction" to a human manager and rely on their intuition to fill the gaps. Today, as we build products like MyOpenClaw and TaoTalk, I manage a workforce where "delegation" is replaced by "architecting."

I didn't anticipate that my most essential skill would become Systematic Precision. Humans can interpret intent; AI agents cannot. If my operational logic is 1% fuzzy, the system fails 100% of the time. I now spend my days debugging natural language instructions and designing agentic workflows that bridge our cross-border e-commerce operations with our AI SaaS development.

We proved this shift through raw efficiency. Last year, we scaled our internal operations without adding a single administrative headcount. By deploying MyOpenClaw agents to handle 85% of our routine workflow triggers—from cross-border logistics tracking to TTprompt optimization—we kept our core team lean and focused purely on innovation.

I no longer look at headcount as a sign of growth. I look at token efficiency and the reliability of our automated loops. The perspective that saved us was realizing that an AI-driven COO doesn't just use tools; they build the "brains" that use the tools.

If you aren't building a system that can run while you sleep, you aren't operating; you're just babysitting.

The modern COO is no longer a manager of people, but an architect of autonomous intelligence.

The biggest evolution for me as a founder-CEO was realizing that operations is fundamentally a communication problem. Early on I thought COO-type work was about process design and project management. What I didn't anticipate was that the real leverage is in information architecture: who knows what, when, and in what format. When we scaled Memelord.com from a newsletter to a funded SaaS with customers like HubSpot, Morning Brew, and Coinbase, the bottleneck was never the work itself. It was decisions getting stuck because the right context wasn't in the right room.

The skill I had to develop fast was radical clarity under ambiguity. As a meme-native founder, I was comfortable with chaos and speed. What I wasn't prepared for was that as the team grew, my job became making the path obvious to others, not just navigating it myself. That meant getting obsessive about written communication, async decision-making frameworks, and, honestly, learning to run a meeting that actually ends with a decision. Humor got me here. Operational rigor is what scales it.

Five years ago, the core focus of my role was to scale my company's revenue operations by implementing streamlined workflows and driving software adoption. The largest skill I've had to learn, which was not expected, is the operationalization of fast verification of threats related to AI manipulation.

The speed at which AI persuasion occurs has completely changed internal timelines for handling it, shrinking the cycle from hours to minutes. As COO, I had to interface with our technology and communications teams to create swift, pre-approved responses that target suspected AI campaigns. Reputation management can no longer be placed within communications/PR alone, but is an operational attack vector.

We integrated a crisis communications playbook, with the ability to detect bots, into the overall escalation workflow. This was a mandatory observation after seeing companies get rearranged due to synthetic outrage. In the case of the Cracker Barrel Rebrand Affair, 21% of the profiles attacking were fake, and 70% of the comments at the height of the attack were duplicate comments.

The bot-driven manipulation caused a panic that erased ~$100M of stock value in a few days. If you operate based on feedback loops that are incorrect, then you will make incorrect pivots.

Now, a core daily operational process is the education of the executives within the company to not only look at the spike of negative sentiment, but also the identity of the speakers. By adding social listening filters that are advanced and embedding them into the cadence of operations, you separate signal from artificially amplified noise.

This prevents the necessary abandoning of prior strategic initiatives, firing of vendors, and overreaction caused by the perception of algorithmically inflated controversy. The modern COO must make the protection of their business operations include digital verification as a structural element of their company.

The biggest shift in my COO role was bridging legal ops and marketing. When we started spending on ads, I had to quickly learn how SEO and analytics actually bring in clients. It took a minute to set up the reports, but the leads got much better once we did. I realized you have to pick up digital skills now, even if they feel outside your wheelhouse.

If you have any questions, feel free to reach out to my personal email

My role as a COO has evolved mainly to acquire a new point of view that focuses on leveraging AI to scale and optimize time management. Our staff now serves more clients with less people - because we designed AI agent systems that help us achieve greater goals with less human effort. However, the criteria to understand when AI is an advantage and when we as people should continue doing the task, is also a critical one nowadays.
We decided to keep investing time in interviewing, in interacting with team members and clients, in showing up personally when visiting clients. Those moments of connection-building cannot be outsourced.

For me it's been moving from thinking about operations as a support function to treating it as a growth function. I used to mostly focus on keeping things running smoothly, reducing friction, fixing what was broken. That's still part of it but the frame was too reactive.

What changed was realizing that the systems I build either enable the business to grow or quietly put a ceiling on it. So now I think about every operational decision through that lens. Does this process scale if we add three more clients next quarter? Does it break if we lose a key person? Those weren't questions I was asking consistently before.

The skill I didn't anticipate needing was financial fluency. I came up through the operations side and I understood project economics but not business economics. Learning to read the business the way a CFO would, connecting operational decisions to margin and capacity and risk, that's been the most important thing I've developed.

It changed how we handle growth decisions and it changed how seriously those recommendations land.

Over the past few years, my role as COO has developed from primarily execution and scaling into a role much more integrated across strategy, capital and brand. In the early stages of my business when it was really a start-up, the focus was building infrastructure such as clinics, teams, processes and financial discipline. That’s still critical, but increasingly I’m spending my time on how the business positions itself in the market, allocates capital, and differentiates in a crowded healthcare landscape. What’s also increasingly important is building a narrative for multiple stakeholders including patients, clinicians, employees and investors.

As COO of a bootstrapped startup, my role has evolved from doing everything to being very intentional about what I don't do. In the early days, it was just a handful of us building every part of the business, and my instinct has always been to jump in wherever there's a gap. That mindset is critical at the start; but over time, it becomes a liability if you don't adjust. The most important shift for me has been learning how to step back in the right moments so others can step forward, even when it would be faster to just handle it myself. I didn't anticipate how essential role clarity would become—not just structurally, but relationally. Like any healthy system, organizations function best when responsibilities are clearly defined and owned.