How to Run a LinkedIn Outreach Campaign to Founders and CEOs Using AI for Business Operations in 2026

Quick Answer: Origami has a built-in LinkedIn sequencer, so you can find leads and send connection requests and follow-ups from one platform. This 2026 tactical guide shows how to turn a list of founders and CEOs using AI for business operations into a live LinkedIn campaign — refine the list, launch a 3-touch sequence, send it directly, and track replies without exporting CSVs or switching tools.

If you already have your list, jump to Step 2. If not, Step 1 is the 60-second rebuild.

Step 1: Build the list in Origami (or rebuild it in 60 seconds)

The parent guide covers list-building in detail: how to build a list of and Sell to Founders and CEOs Using AI for Business Operations. But for a campaign, here is the exact plain-English prompt I use in Origami:

Find US-based founders and CEOs at companies with 20–250 employees who are actively using or publicly discussing AI for business operations. Include leaders who mention AI agents, automation, AI in finance/HR/support, or ops efficiency in LinkedIn posts, podcasts, or company pages in the last 12 months. Exclude agencies and solo consultants. Enrich with verified work email, LinkedIn profile, job title, company size, industry, and technology tools.

Origami returns a targeted prospect list with verified names, emails, phone numbers, and company details. The key fields for this campaign: founder/CEO title, company headcount, industry, the signal that matched, and the LinkedIn profile URL. The free plan gives you 1,000 credits with no credit card, so you can run the exact search and see the output before paying.

The reason this prompt works: it filters for founders and CEOs who are already talking about AI operations, not companies that simply have AI in their LinkedIn bio. That signal is what makes the sequence feel specific instead of cold.

Step 2: Refine and qualify the list for LinkedIn outreach

A list of 800 names is not a campaign. Founders and CEOs get hammered with generic sequences. The only way to make LinkedIn work is to narrow the list until every person looks like someone you would actually call.

For this audience, qualified looks like:

• Title: founder, co-founder, CEO, or managing director. If someone is a VP of Operations, they are useful for research but not the target.
• Company size: 20–250 employees. Below 20, ops complexity is low. Above 250, the CEO is usually too far from daily AI operations.
• Signal: they have posted, commented, spoken, or published about AI in operations, automation, AI agents, or back-office efficiency in the last 6–12 months.
• Tool usage: tools like Zapier, Make, UiPath, or internal AI copilots in finance, HR, or support.
• Hiring trigger: open roles such as head of AI operations, automation lead, or operations manager.

In Origami, review the list and remove bad fits: consultants, fractional COOs, agencies, and CTOs unless they also carry a founder/CEO title. Then segment the survivors into three buckets:

1. Active posters: posted or commented about AI ops in the last 6 months. Highest intent, use these first.
2. Tool users: company tech stack shows automation or AI ops tools. High fit, but colder.
3. Hiring trigger: open AI or ops roles. Budget and urgency are higher, but the CEO may not be the best contact if there is a COO.

Start with bucket one. A clean list of 150–300 active posters is enough to test messaging. You do not need 1,000 names to prove a sequence; you need 150 right names and a message that references a real signal.

Step 3: Create the LinkedIn sequence

In Origami, you have two ways to build the sequence:

1. Paste your own templates. Write a 3-touch sequence, paste each message into the sequencer, set the delays between touches (Day 1, Day 3, Day 7 — or whatever cadence you want), and hit Launch.
2. Let the agent write it. Ask Origami's AI agent to generate a personalized 3-day LinkedIn sequence for all your leads automatically. The agent writes messages based on each lead's profile data — title, company, industry — so every message feels custom.

If you use the agent, give it the angle: target founders/CEOs who are using or exploring AI for business operations; focus on moving from pilot to daily ops; keep messages under 100 words; use a connection request, value follow-up, and soft close. It will handle the personalization at the profile level.

Below is the sequence I have used for this exact audience. Replace the bracket placeholders. The copy is written to sound like a practitioner, not a vendor.

Day 1 — Connection request + note

Subject line: None (LinkedIn connection note)

Message:

Hi — I saw your post about using AI agents in operations at . I work with founders and CEOs who are moving AI from demo to daily ops, cutting manual work without adding headcount. Your point on [specific_detail] stood out. Worth connecting in 2026 to swap notes? -

This works because it immediately tells the founder why you reached out: you saw their post. It also states your focus without pitching. The [specific_detail] placeholder is the most important part — change it to something real: your point on invoice reconciliation or your note about AI agents in support.

Day 3 — Follow-up message (different angle)

Subject line: AI ops at

Message:

Hi — I connected because you are talking about AI in operations without the hype, which is rare. Most founders we speak to hit the same wall: the pilot worked, but finance, HR, and support still run on manual workflows. We help teams turn those pilots into repeatable AI operations across back-office functions. Would a 10-minute teardown of your current ops stack be useful this week?

This follow-up shifts from the social proof of their post to the operational problem. It gives a specific pain: pilots do not become daily operations. The ask is small and real — a teardown, not a demo.

Day 7 — Final message (soft close)

Subject line: Final note on AI ops

Message:

Hi — I know AI operations is not your only priority. If you already have agentic workflows running across ops, no need to reply. But if manual reconciliation, ticket triage, or ops reporting still eats hours, we can usually cut 10+ hours per team per week. If it is worth a look, reply 'interested' and I will send a short Loom. If not, I will close your file. Either way, good luck with Q3.

This final touch uses a soft close and gives them an easy out. Founders and CEOs respect directness. You are not threatening anything; you are offering a clear next step and acknowledging they may already be covered.

Make sure the Day 7 message goes out only if there was no reply. Origami automatically un-enrolls people when they reply, so you will not accidentally send a breakup message after a meeting is already booked.

Step 4: Send the sequence directly from Origami

Once the list is refined and the sequence is built, launch it directly from Origami. You do not export the list, upload it to another tool, or sync anything. The built-in LinkedIn sequencer sends connection requests and follow-up messages automatically with configurable delays between touches.

In the same dashboard where you built the list, you can see:

• Opens, clicks, and replies for each contact.
• Prospect context: while looking at a contact's activity, you can still see their enriched profile — title, company, tools used — so you know exactly why you reached out.
• Automatic un-enrollment: if someone replies, they exit the sequence. No accidental final note after they have already said yes.

That is the real workflow: find, enrich, sequence, send, track — all in one platform. No exporting CSVs, no syncing tools, no jumping between tabs.

The sequencer itself is included on all Origami paid plans. You are only paying for the credits used to enrich leads; the sending is free. The free plan includes 1,000 credits with no credit card, which is enough to run the initial list before you commit.

What response rate to expect for this audience

For a clean, well-segmented list of founders and CEOs using AI for business operations, I typically see:

• Connection acceptance: 8–15% if the first touch references a real signal (a post, tool, or hiring trigger).
• Positive replies: 3–7% if the follow-up message focuses on a specific operational pain.
• Meetings booked: 1–3% from a cold campaign with a clear offer.

These are not magic numbers. If your connection acceptance is below 8%, the problem is usually the list or the first line — the founders do not recognize why you reached out. Refresh the list, tighten the segment, or reference a more recent signal.

If connection acceptance is high but replies are low, the problem is the Day 3 message. Change the angle from features to a specific workflow: month-end close, ticket triage, or invoice processing.

If replies are high but meetings are low, the list may be too broad. Go back to Step 2 and segment by company size and active posting. Founders at 20–50 employees act faster than CEOs at 250.

When to iterate on messaging vs. iterate on the list

This is the part most teams skip. Here is the rule I use:

• Low connection acceptance: iterate on the list and Day 1 note.
• High acceptance, low replies: iterate on Day 3 and Day 7 copy.
• High replies, low meetings: iterate on the list — tighten company size, signal recency, or geography.
• Replies but wrong contact: the CEO may not own AI ops at larger companies; segment below 100 employees or include COO if the founder delegates.

Do not change everything at once. Change one variable, wait for 50–100 touches, then decide.