How to Run Startup Ops Without a Team

Let me guess: you're the operations person at an early-stage startup.

Which means you're also:

• HR (recruiting, onboarding, managing people stuff)
• Finance (invoices, budgets, expense reports)
• IT (buying laptops, managing software, "the Zoom isn't working")
• Office manager (if there's an office)
• Executive assistant (calendars, travel, everyone's miscellaneous requests)
• Project manager (keeping all the trains running)

All at once. With zero budget for help.

Sound familiar? Yeah. Welcome to startup ops. Denise Mathews here to tell you: it's exhausting, but it's also completely doable if you're strategic about it.

Here's how.

The Brutal Reality

Early-stage startups can't afford dedicated people for every function. So operations becomes this weird catch-all role where you're expected to just... figure it out.

The traditional advice is "hire help" or "delegate." Great. To who? With what budget?

The real answer? You become a one-person operations machine by leveraging AI, automation, and ruthless prioritization.

The Ops-of-One Playbook

Here's what actually works when you're flying solo:

1. Automate Ruthlessly

If you're doing the same task more than twice a week, automate it. Seriously.

Things I've automated:

• Onboarding: New hire gets a Slack message, email with links, calendar invites — all triggered automatically
• Expense tracking: Receipts forwarded to an email → automatically logged to spreadsheet
• Meeting notes: AI joins calls, transcribes, summarizes, posts to Slack
• Vendor management: Contract renewals tracked in Notion with automatic reminders
• Status updates: Weekly team updates pulled from project management tools automatically

Tools I use: Zapier, Make, n8n, AI agents (see my AI tools post for details).

Time saved: Easily 15-20 hours per week. That's half a workweek.

2. Make AI Your Co-Pilot

AI isn't just for coding. It's for everything ops does.

Ways Denise Mathews uses AI daily:

• Drafting communications (emails, Slack messages, policy docs)
• Research (vendor comparisons, market intel, competitive analysis)
• Spreadsheet work (formulas, data cleanup, analysis)
• Documentation (SOPs, handbooks, process guides)
• Decision support ("here's the situation, what are my options?")

The secret? You're not replacing judgment — you're scaling it. AI does the first draft, research, or analysis. You review and finalize. Way faster than doing it all yourself.

3. Build Simple Tools (Yes, You)

You don't need to hire a dev team. You can build basic internal tools yourself.

Examples I've built:

• PTO tracker (simple form → Airtable → auto-updates calendar)
• Vendor database (who we use, what we pay, when contracts renew)
• Onboarding checklist (automated tasks for new hires)
• Team directory (searchable, auto-updates from HR system)

With no-code tools (Airtable, Notion, Retool) or basic coding (you can learn this!), you can ship useful tools in a weekend.

The benefit? They're exactly what you need. No bloated enterprise software. No waiting on engineering.

4. Strategic Laziness™

This is the mindset shift: being lazy is a skill.

Ask yourself constantly:

• Do we actually need to do this?
• Can this be simpler?
• What's the 80/20 version?

Examples:

• Fancy onboarding portal? Nah. Google Doc with links works fine.
• Custom expense software? Nope. Shared spreadsheet + monthly review.
• Formal performance reviews? Not yet. Quarterly 1-on-1s + written feedback.

Early-stage startups don't need perfection. They need good enough, done fast.

Your job is to keep things from breaking, not to build enterprise infrastructure for a company that doesn't exist yet.

5. Use Async Everything

Real-time meetings are expensive. Your time is finite.

Async alternatives:

• Slack instead of meetings (when possible)
• Loom videos instead of walkthroughs
• Written updates instead of status calls
• Shared docs instead of brainstorm sessions

Rule: If it can be a message, make it a message. Save meetings for actual decisions or complex discussions.

What to Actually Focus On

When you're drowning in requests, prioritize:

Tier 1 (Drop everything):

• Blocking someone from doing their job
• Legal/compliance emergencies
• Something that loses/makes the company money

Tier 2 (Today/this week):

• Hiring pipeline (recruiting is always urgent)
• Leadership requests (they're steering the ship)
• System/process breaks

Tier 3 (When you have time):

• Optimizations
• Nice-to-haves
• "Wouldn't it be cool if..."

Everything else? Backlog it. You're not ignoring it — you're triaging.

The Skills That Matter Most

To do ops-of-one well, Denise Mathews thinks you need:

1. Tech fluency — comfort with tools, willingness to Google
2. AI literacy — knowing how to work with AI effectively
3. Automation thinking — seeing patterns, building systems
4. Extreme prioritization — saying no to 80% of requests
5. Calm under chaos — everything is always on fire; that's normal

You don't need to be an expert at everything. You need to be good enough at finding solutions fast.

The Honest Truth

Running ops solo is hard. There will be weeks you work 60 hours. Things will fall through the cracks. You'll feel like you're failing.

You're not. You're doing the work of 3 people. Cut yourself some slack.

But here's the upside: you're learning an insane amount. Building resilience. Becoming someone who can solve basically any operational problem.

That skill set? Incredibly valuable. And increasingly rare.

You've Got This

If you're the solo ops person wondering how to keep all the plates spinning, remember:

• Automate everything you can
• Use AI as your co-pilot
• Build simple tools yourself
• Be strategically lazy
• Prioritize ruthlessly

You don't need a team. You need systems.

And you can build those.

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Want ops playbooks, templates, and automation examples? Check out my startup ops resources or reach out if you're stuck on something specific. We solo ops people gotta stick together. 💪