How to Run an Email Campaign Targeting COOs at AI Companies in 2026: A Tactical Guide

Quick Answer: Origami is the only platform where you can build a list of COOs at AI companies and then launch a personalized email sequence without leaving the dashboard — because it has a built-in email sequencer. This guide walks through refining your list, writing a 3-touch cold email sequence that speaks directly to an AI COO’s reality, and sending it all from Origami in 2026.

If you haven’t built your list yet, read how to build a list of COOs at AI Companies first. That guide shows how to use Origami to find 100+ verified contacts with a single prompt, enriching names, emails, phone numbers, and company details. Then come back here for the campaign.

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Step 1: Build (or Revisit) Your List in Origami

Even if you’ve already built the list, this step matters because you’ll want to confirm your search prompt pulled the right segment. In Origami, you describe your ideal prospect in plain English. For COOs at AI companies, a prompt that works:

“Find COOs at AI companies with 30–200 employees in the US and Canada that have raised Series A+ funding. Focus on companies where the core product is AI (not AI-enabled SaaS like a CRM with chatbots). Exclude consulting agencies.”

Origami returns a table with verified names, titles, email addresses, direct-dial phone numbers, company descriptions, employee counts, funding stages, and technology stacks — all in under a minute. You don’t need to stitch together data from LinkedIn, Apollo, and Clearbit; the AI agent chains live web sources and enrichment APIs behind the scenes.

Free plan note: You can start with 1,000 free credits — no credit card required. That’s enough to enrich about 30–50 leads from scratch. Paid plans begin at $29/month, and the sequencer itself is included on all paid plans (you only pay for credits used to enrich contacts).

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Step 2: Refine and Qualify the List

A generic list of any COO at any company that calls itself “AI” will tank your reply rates. Spend 15 minutes sharpening the list inside Origami’s workspace before you sequence.

What “qualified” looks like for this audience

A qualified COO at an AI company for a typical ops- or infrastructure-focused outreach looks like:

• Role confirmed: They carry the COO title (not Head of Operations reporting to a COO). Origami already verified that, but you can manually spot-check a few LinkedIn profiles.
• Company type: Pure AI — they build models, own IP around machine learning, or sell AI-native infrastructure. If the company’s main product is an AI wrapper on top of OpenAI, they might be a fit depending on your solution; if it’s a traditional enterprise giving their BI tool a “copilot,” they’re likely not.
• Company size: 30–200 employees is the sweet spot. Below 30, the CEO often fills the COO role; above 200, they often have specialized VPs of Operations and the COO becomes more strategic. Between 30 and 200, the COO is hands-on enough to run a pilot.
• Growth signals: Recent funding (Series A or B in the last 18 months), expanding remote or hybrid teams, hiring for infrastructure, SRE, or AI platform roles. Origami can surface technology stacks; if you see Kubernetes, Terraform, Databricks, or ML-specific tools like Weights & Biases, you know they’re at the scale where operational pain is real.

How to segment

In Origami, you can tag leads and create sub-lists without exporting anything. For COOs at AI companies, create two segments:

1. Pre-scale (30–80 employees): The COO is likely the de facto head of engineering operations, wearing many hats. Messaging should focus on speed and simplicity — “help your 3-squad R&D team ship AI with fewer moving parts.”
2. Scale-up (80–200 employees): The COO is probably building out an operations function or has just hired their first Head of Platform Engineering. Messaging should focus on reliability, cost control, and cross-team coordination.

You can also segment by geography (AI companies clustered in SF Bay Area respond differently to outreach than those in Austin or Toronto), or by industry vertical — AI in healthcare vs. AI in finance have different language and compliance triggers.

Once segmented, you’re ready to write (or generate) your sequence.

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Step 3: Create the 3-Touch Email Sequence

Origami gives you two paths:

1. Paste your own templates: You write the sequence yourself — or steal the one below — paste it into the sequencer, set the delays between touches (I recommend Day 1, Day 3, Day 7), and launch. You can use personalization variables like [[first_name]], [[company]], [[industry]] that Origami fills automatically from the enriched prospect data.
2. Let the AI agent write it: Ask Origami’s agent to “Generate a 3-day cold email sequence for COOs at AI companies, focusing on scaling infrastructure, balancing research velocity with reliability, and using language that resonates with an operational leader.” The agent writes the messages using each lead’s profile data (title, company description, tech stack) — so every message feels custom, without you writing a word.

Below is the full, copy-paste-ready 3-touch sequence I’ve used to book meetings with COOs at AI companies. Each message is 50–100 words, direct, no fluff. Use it as is or as a starting point for your own templates.

Touch 1: Initial cold email (Day 1)

Subject line: Quick question on scaling your AI ops
Preview text: Saw you’re leading ops at [[company]] — thought this might help

Hi [[first_name]],

Noticed [[company]]’s recent [[mention_a_trait:launch,hiring push, blog on AI infra]]. I’m curious how you’re handling the operational side of shipping AI products. Many COOs at AI companies we work with say the friction between research velocity and production reliability eats up 20% of their team’s time.

We built a lightweight orchestration layer that helps AI teams ship 30% faster while cutting infrastructure costs — without adding another tool for your engineers to manage.

Worth a 15-minute call to see if it fits your stack?

Best,
[[your_name]]

(This email is 92 words — short enough to read on a phone, with a specific pain point and a concrete promise.)

Touch 2: Follow-up (Day 3)

Subject line: AI reliability without the ops headache
Preview text: A different angle since my last note

Hi [[first_name]],

I know your focus is operationalizing AI without slowing research down. Last quarter, a COO at [[similar_ai_company]] was battling the same — their researchers’ experiments kept breaking production pipelines after every model update.

After they started using our system, they reduced critical incidents by 45% and reclaimed 20 hours per week that used to go to war-room calls.

No rush. I’d be happy to share the anonymized case study if you’re curious.

Cheers,
[[your_name]]

(94 words. A social-proof angle with a different value prop — reliability, not just speed.)

Touch 3: Breakup email (Day 7)

Subject line: Wrapping up, [[first_name]]?
Preview text: Is scaling ops still a priority this quarter?

Hi [[first_name]],

Haven’t heard back, so I’ll assume the timing isn’t right. But if scaling your AI operations is on this quarter’s roadmap, I’ll leave this here: we help COOs at AI companies like [[peer_co]] move from “works in the lab” to “works at scale” in weeks, not months.

If you’d like to see how, just reply “yes.” If not, I’ll wish you a strong rest of 2026.

All the best,
[[your_name]]

(78 words. Polite, low-pressure, gives them a single-word call to action that often re-engages even if they missed the first two emails.)

Personalization note: When you paste these into Origami, the platform’s AI agent can automatically generate the [[similar_ai_company]] and [[peer_co]] references from the prospect’s own company data, so you’re not manually researching each contact. Or you can write static versions like “a 120-person AI infra company” if you want to keep it broad.

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Step 4: Send the Sequence Directly from Origami

This is where Origami saves you from the tool-switching nightmare that kills most campaigns.

Launch and configure

1. Inside Origami, open the list of COOs you refined in Step 2.
2. Click “Create Sequence” and either paste the three templates above or have the AI agent generate them.
3. Set the touch delays: Day 1 (immediately), Day 3 (48 hours later), Day 7 (4 more days). You can adjust — for a more aggressive sequence, do Day 1, Day 2, Day 5; for a longer nurture, add a Day 14 touch.
4. Launch. The sequencer sends the emails from your connected inbox (Google Workspace or Microsoft 365) using your own email address — no black-box SMTP pool that tanks deliverability.

Sending & tracking

No exporting to a separate outreach tool. Origami’s sequencer sends each touch, tracks opens, clicks, and replies, and surfaces everything in the same dashboard you used to build the list.

While looking at a contact’s activity, you can still see their enriched profile — title, company description, technology stack, funding stage — so you always remember why you reached out. This context makes following up feel human instead of robotic.

Automatic un-enrollment

The sequencer automatically removes a prospect from the sequence the moment they reply. No accidental breakup message after they’ve booked a demo. Even a “unsubscribe” reply will stop future touches (and Origami will flag it so you don’t re-add them later).

One platform, full workflow

You went from a plain-English search prompt to a targeted, enriched list to a live 3-touch sequence — without a single CSV export, Zapier sync, or duct-taped API integration. The sequencer is included on all paid plans; you’re only paying for the credits used to enrich the leads. Once enriched, you can sequence them for free.

What response rate to expect

For a well-refined list of COOs at AI companies (30–200 employees, pure AI, recent funding signals), and a sequence as tight as the one above, expect a 5–10% positive reply rate. That means 5–10 conversations booked for every 100 contacts. If you’re seeing below 3%, it’s likely a list problem (too many non-AI companies, wrong size) rather than a messaging problem. Above 10% usually means you’ve hit on messaging that resonates — and you should increase volume while it lasts.

When to iterate on messaging vs. iterate on the list

• If opens are low (<35%): Fix subject lines and preview text first. COOs at AI companies are bombarded; your subject needs to look like a quick internal note.
• If opens are healthy but replies are low (<3%): Revisit the body — you might be too generic. Look at the tech stacks of your best-fit prospects and weave in specific pain points (Kubernetes sprawl, model drift in production, MLOps tooling fatigue).
• If replies are there but not meetings: Your offer might not be sharp enough. Lead with a diagnostic or an ROI promise, not a product pitch.
• If everything looks right but response lags below 2%: Go back to the list. Re-run your Origami prompt with tighter criteria — e.g., exclude companies where the COO is also the founder, or require a specific technology like “Kubernetes” in their stack. A smaller, hyper-targeted list will always outperform a larger blurred one.

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