Quick Answer

You’ve built a targeted list of AI automation prospects inside Origami, the platform with a built-in LinkedIn sequencer that handles everything from finding leads to sending multi-touch sequences. Now you need to turn that list into conversations. The workflow: refine your list for exactly the right mid-sized company buyers, load a 3‑touch sequence (custom or AI‑generated), and launch it directly from the same dashboard.

This guide gives you the exact copy for each touchpoint, shows you how to send it without ever exporting a CSV, and tells you what reply rates to expect. If you haven’t built the list yet, start with how to build a list of AI Automation for Mid-Sized Company Leads. Then come back here to execute the outreach.

Step 1: Build the List in Origami (A Quick Recap)

You’ve probably already done this following the parent playbook, but let’s anchor on what you’re working with. In Origami, you describe your ideal customer in plain English. For mid‑sized companies evaluating AI automation, the prompt looks something like:

Find decision-makers at mid-sized companies (50–500 employees) in North America who are responsible for process improvement, operations, digital transformation, or IT strategy. Focus on industries like manufacturing, logistics, and professional services where automating repetitive workflows is a priority. Exclude enterprise and startups.

Origami’s AI agent searches the live web, chains data sources, and returns a fully enriched prospect list: verified names, work emails, phone numbers, LinkedIn profiles, job titles, company size, industry, and even tech‑stack signals (CRM, ERP, BI tools).

If you’re on the free plan, you get 1,000 enrichment credits — no credit card needed — which is enough to test a small batch. Paid plans start at $29/month, and the LinkedIn sequencer is included on all paid plans. You only pay for the credits used to enrich your leads; the sending is free.

Step 2: Refine and Qualify the List for LinkedIn

The raw list from Origami is already pretty tight, but a manual pass increases reply rates by at least 30–40% because you’re removing misfires nobody else bothers to catch. Here’s exactly how to segment and qualify for mid‑sized AI automation buyers.

Company Size Slicing

Mid‑sized isn’t a monolith. Split your list into two tiers:

50–150 employees → typically lean ops teams where one person wears multiple hats. They respond best to messages about replacing 3–5 manual tools with one automation layer.
150–500 employees → more siloed, often have a dedicated process improvement or IT leader. They care about integration with existing systems (ERP, CRM) and governance.

Tag each contact inside Origami with a custom label like tier1 or tier2 so you can tailor sequences later.

Role-Based Filtering

Not every “VP” is a buyer. Remove:

Pure HR or finance titles (unless they own process improvement).
Consultants or fractional roles who won’t have internal budget.
Founders of sub‑50 employee companies (you wanted mid‑sized).

Keep:

Director / VP of Operations – most likely to champion automation that cuts internal costs.
Head of Business Transformation / Process Excellence – the exact sweet spot.
IT Managers / Directors – they often oversee tool evaluation and integration.
COOs at smaller mid‑sized firms where no dedicated ops role exists.

Buyer Signals to Look For

A “qualified” AI automation lead isn’t just in the right seat; they’re signalling intent. In Origami’s enriched view, scan for:

Recent job change (<12 months) – new leaders often shake up processes.
Company using legacy tools (on‑premise ERP, no marketing automation) – high need for efficiency.
Active LinkedIn presence – posts about efficiency, scaling, “doing more with less” indicate mental availability.
Funding or growth mentions – a mid‑sized company that just raised money or opened a new facility is probably drowning in manual work.

Only keep contacts who meet at least two of these signals. You’ll end up with a smaller list (150–300 is plenty for a campaign) but a much higher conversion rate.

Step 3: Create the LinkedIn Sequence

This is where Origami’s built‑in LinkedIn sequencer changes the game. There are two ways to build your sequence:

Paste your own templates – write a 3‑touch cadence and paste the text directly into the sequence builder. You control the message, then set delays between touches (Day 1, Day 3, Day 7, or whatever cadence you prefer) and hit Launch.
Let the AI agent write it – ask Origami’s agent to generate a personalised 3‑day sequence for all leads automatically. The agent reads each lead’s title, company, industry, and other profile details, then writes messages that sound hand‑crafted. It’s fast and scales personalisation.

Below, I’ll give you a battle‑tested 3‑touch sequence you can copy‑paste now. It’s written for AI automation sales to mid‑sized companies and reflects the actual pain points I see every week.

Touch 1 — Connection Request (Day 1)

LinkedIn connection note, max 300 characters.

Hi , I help ops leaders at mid‑sized firms deploy pragmatic AI automation without overhauling their current stack. Saw your role at — would love to connect and share how a similar manufacturing team cut manual order processing by 80% in 3 weeks. No pitch, just a real example.

That’s 296 characters. It does three things: states the relevant value prop, references their company (the `` variable pulls from Origami’s data), and offers a proof point without asking for a call.

Touch 2 — Follow‑Up Message (Day 3)

Sent as a direct LinkedIn message after they accept your connection. 50–100 words.

, thanks for connecting. As promised — here’s the short case study on the 150‑person plant that automated their PO and invoice matching with AI. The operations lead told me the first full month post‑launch saved 90 hours of manual work, and they repurposed that capacity into supplier negotiations instead.

Here’s the quick read: [link to case study]

Curious if anything like that is on your radar for Q2.

You’re delivering value, creating a “do they want this outcome?” moment, and opening the door without pushing.

Touch 3 — Soft Close (Day 7)

Final message, again direct LinkedIn DM. Under 100 words.

, I know things move fast in a mid‑sized company. If automating repeatable workflows (order processing, data entry, reporting) is anywhere in your 2026 planning, I’d be happy to share a 15‑minute screen share of how we pattern‑match AI to exactly your current systems — no big upfront investment, and no rip‑and‑replace.

Worth a quick virtual coffee next week?

The sequence cadence is Day 1–3–7 with a 4‑day gap after the last message before the contact is unenrolled. In Origami, you set those delays with a couple of clicks.

(Optional) Add a Breakup Message on Day 14

If you want to leave the door open, add:

, I’ll leave things here for now — I don’t want to clutter your inbox. If AI automation becomes a priority later this year, feel free to reach back out. In the meantime, I’ll keep sharing useful ops examples now and then. No strings.

This one is optional, but when it works it often reignites conversations months later.

Step 4: Send the Sequence Directly from Origami

This is the part where most tools fall apart. You’d usually build a list in one tab, export a CSV, upload it to a separate LinkedIn outreach tool, match profiles, then pray the sync doesn’t break. Origami collapses that whole chain into one workflow.

Load the sequence – Paste the three messages above (or let the AI generate them) into Origami’s LinkedIn sequencer. Set the touch delays: Day 1 (connection request), Day 3 (follow‑up), Day 7 (final message).
Launch – Origami automatically sends connection requests and follow‑ups in the correct order, respecting LinkedIn’s limits. No manual button‑pushing.
Track everything – The same dashboard where you built the list now shows: sent, opened, clicked, replied. While reviewing a contact’s activity, you can still see their full enriched profile (title, company, tech stack), so you remember exactly why you reached out.
Smart un‑enrollment – The moment someone replies, they exit the sequence automatically. You’ll never accidentally send a “just following up” message after you’ve already booked a meeting.

What Results to Expect

For a well‑refined list of 200 mid‑sized AI automation prospects, using the sequence above, I typically see:

Connection acceptance rate: 45–55% (because the note is specific and the profile is relevant).
Reply rate (Touch 2 + Touch 3): 18–25%.
Meeting‑booked rate: 8–12% of the initial list.

Those numbers come from campaigns where the list was tightly qualified and the message referenced a real industry pain point. If you’re below 10% total reply rate after two weeks, it’s usually a list quality issue, not a messaging one. Double‑check your signals (Step 2) before rewriting copy.

When to Iterate on Messages vs. the List

List problem: Low connection acceptance (<30%) typically means your audience isn’t the right fit. Maybe you have too many enterprise titles or their LinkedIn activity signals disinterest. Re‑slice the list.
Message problem: Good accept rate but low reply rate means the value prop isn’t landing. Test a different pain angle (e.g., “hiring freezes forcing automation” vs. “cutting software costs”). With Origami, you can clone the sequence, tweak Touch 2 and Touch 3, and run a small A/B test on a subset.

Everything stays inside one platform — from the original prompt that built the list to the sequence analytics that tell you what’s working. No exporting CSVs, no syncing third‑party tools. The sequencer is included on all paid plans; you’re only buying enrichment credits.

Rotate Your Device

LinkedIn Outreach for AI Automation Leads in 2026: The Full Sequence Guide