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LinkedIn Outreach for RPA Technology Leads in 2026: Sequences, Tools, and Results

Step-by-step guide to LinkedIn outreach for RPA leads in 2026. Refine your prospect list, execute a 3-touch sequence with copy you can steal, and send everything from Origami’s built-in sequencer.

Finn Mallery
Finn MalleryUpdated 11 min read

Founder @ Origami

Quick Answer

After you’ve built a targeted list of RPA technology leads in Origami, you don’t export it — you refine it and then launch a multi-touch sequence directly from the platform. Origami’s built-in LinkedIn sequencer handles connection requests and follow-up messages with configurable delays. The sending is free on every paid plan; you only pay for credits when enriching new contacts. This guide gives you a repeatable campaign that has delivered 22–35% connection acceptance rates and 10–15% reply rates for my team without leaving the tool that found the leads.

If you need to build that list first, I covered the entire process in how to build a list of RPA Technology Leads. Below, I’ll walk you through refinement, the exact 3-touch sequence (copy-paste ready), and how to send and track everything inside Origami.


Step 1: Build Your RPA Leads List (Recap)

The parent post showed you how to type a plain-English prompt into Origami and let the AI agent find and enrich leads. If you haven’t done that yet, open a free account (1,000 credits, no credit card) and run this prompt:

Find decision-makers responsible for RPA and intelligent automation at companies using 
UiPath, Automation Anywhere, Blue Prism, or Microsoft Power Automate. Focus on titles 
like Head of Automation, RPA Lead, Director of Intelligent Process Automation, or IT 
Innovation Manager. Include mid-market and enterprise firms in the US and UK. Give me 
verified email, phone, LinkedIn profile, and tech stack whenever possible.

Within minutes, you’ll have a list of 50–200 contacts (depending on your filters) with names, titles, company details, LinkedIn URLs, and validated email addresses. The free tier covers this no problem.

Because this post is about what comes after the list is in your hands, I’ll assume you’ve already run the prompt and have a CSV-like view inside Origami. Now you’re staring at a bunch of leads wondering, “Who do I message first?” That’s where refinement starts.


Step 2: Refine and Segment for LinkedIn Outreach

Not every contact on your initial list deserves the same sequence. RPA buyers split into three clusters, and mixing them wastes messages. I’ve learned to group them before touching LinkedIn.

The Three Segments That Move

  1. Technical Champions — Titles like RPA Developer, Automation Engineer, or Lead RPA Architect. They live inside the tools and are the first to spot scaling limits. They respond to technical depth and peer-to-peer language.
  2. Operational Owners — Heads of Shared Services, Process Excellence Managers, or Automation CoE Leads. They measure cycle time reduction and FTEs shifted. They care about governance and operational risk.
  3. Budget Holders — Directors of Digital Transformation, VPs of Intelligent Automation, or CIOs at firms that have already deployed RPA. They need to see strategic ROI and integration with broader AI roadmaps.

In Origami, I use the built-in tagging and filtering to label each lead by segment. I look at job title keywords, company size, and the tech stack column (if someone uses Blue Prism AND Power Automate, they’re probably in a hybrid environment — that’s an operational owner signal). I also remove anyone who looks like a pure consultant, junior admin, or vendor partner, because they rarely drive purchase decisions.

What “Qualified” Looks Like

For a LinkedIn sequence to convert, your list should be:

  • Within your ICP: RPA program exists (evidenced by tools used or job descriptions mentioning bot deployment).
  • Current role: In the last 3 months; Origami’s enrichment updates this automatically, but I always spot-check.
  • Not recently contacted: Origami lets you exclude leads you’ve already sequenced, so you don’t double-tap a connection.

If you end up with 40–80 hyper-relevant leads per segment, you’re in the sweet spot. You can always widen later.


Step 3: Create the LinkedIn Sequence (Copy These Messages)

Now the fun part. Inside Origami, you have two choices:

  1. Paste your own templates: Write the 3-touch sequence yourself, set delays, and launch. I’ll give you the exact copy for that option below.
  2. Let Origami’s agent write it: Tell the agent something like “Generate a 3-day LinkedIn sequence for RPA operational owners, emphasizing scaling challenges and governance,” and it will personalize each message based on the lead’s title, company, and industry.

If you’re after speed, option 2 gets you live in 60 seconds. But for readers who want to tweak and own their messaging, here’s the sequence I’ve used across all three segments, with variations where needed.

Sequence Architecture

  • Day 1 — Connection request with a note (300-character limit for the note).
  • Day 3 — First follow-up message (sent only if they accept the connection).
  • Day 7 — Final message (soft close).

All messages stay under 100 words, avoid sales pitch, and reference one specific RPA pain point. I’ll mark [CUSTOMIZE] wherever you drop in a personal detail.


Segment 1: Technical Champion Sequence

Day 1: Connection Request Note

[CUSTOMIZE: noticed your work on automation at {company}]. I’m exploring how RPA teams are dealing with bot sprawl and maintenance overhead. Would love to swap notes as someone in the trenches.

Day 3: Follow-Up Message

Hi [First Name],

Every time I talk to RPA engineers, the conversation drifts to the same pain: you’ve got 15 bots running, but 40% of your time goes to fixing breakages when UIs change. I’m curious if that resonates at {company}. Not pitching anything — genuinely interested in how you’ve tackled bot resilience, especially when scaling beyond a pilot.

Worth a quick chat?

Day 7: Final Message

[First Name], last note from me. If you’re seeing more bot maintenance tickets than you’d like, or if your CoE is starting to ask for process discovery tools to feed the pipeline, I might have a relevant resource. No pressure — if it’s not a priority right now, no sweat.


Segment 2: Operational Owner Sequence

Day 1: Connection Request Note

[CUSTOMIZE: came across your automation program at {company}]. I work with process owners who are struggling to measure ROI beyond “hours saved.” Curious how you track impact across shared services.

Day 3: Follow-Up Message

Hi [First Name],

One number I hear from CoE leaders: they spend 60% of their automation budget on building and only 20% on governance, then wonder why bots break post-go-live. Does that tension exist at {company}? I’d love to hear how you balance speed and stability, especially if you’re managing both attended and unattended workflows.

Day 7: Final Message

[First Name], I’ll keep this brief. If your RPA roadmap is already bumping into questions about AI integration or you’re evaluating process mining as a complement, I’d be happy to share a 5-minute summary of what peer organizations are doing. Otherwise, I’ll leave you to it.


Segment 3: Budget Holder Sequence

Day 1: Connection Request Note

[CUSTOMIZE: following {company}’s automation journey]. I’m talking to digital transformation leaders about turning RPA momentum into an enterprise-wide AI fabric. Keen to hear your perspective.

Day 3: Follow-Up Message

[First Name],

Most enterprises have hit an RPA ceiling — they’ve automated obvious tasks but can’t scale without rethinking their architecture. I’m curious how you’re approaching the next phase: combining RPA with IDP, process mining, maybe even genAI agents. No vendor talk, just real-world strategy.

Open to a brief exchange?

Day 7: Final Message

[First Name], I’ll wrap up here. If you’re reviewing automation vendors this quarter or need a sanity check on your build-vs-buy calculus for process intelligence, I’m happy to send over a short write-up I did on RPA+AI convergence. Totally up to you.


How to Customize Without Losing the Core

Origami lets you inject merge tags like {first_name}, {company}, and {title}. For the [CUSTOMIZE] part in the connection note, I quickly scan the lead’s LinkedIn profile or the enriched details in Origami and reference something specific — a recent post, their company’s automation maturity, or even a shared group. It only adds 10 seconds per lead because Origami shows the prospect’s full enriched profile right in the sequencer view.


Step 4: Send the Sequence Directly from Origami

This is where Origami pays for itself. With the list segmented and sequences loaded, I hit Launch Sequence and everything runs inside the same platform — no CSV exports, no Zapier hooks, no broken integrations.

How It Actually Works

  1. Launch with delays: In Origami’s sequencer, set the touch schedule. I use Day 1 connection request → wait 2 days → Day 3 message → wait 4 days → Day 7 message.
  2. Automatic LinkedIn actions: The platform sends connection requests with the note, then automatically follows up with messages to those who accepted. If a recipient hasn’t connected yet by Day 3, the sequencer can be configured to send an InMail (if you have InMail credits) or skip that lead — I suggest skipping to keep costs lean.
  3. Live tracking: In the same Origami dashboard where you built the list, you can see opens, clicks, replies, and connection acceptance rates. That context matters — while viewing a contact’s reply, you can still see their enriched profile (title, tools used, RPA platform), so you instantly know why you reached out without opening another tab.
  4. Safe stops: If someone replies “Not interested” or “Let’s talk,” Origami automatically un-enrolls them from the sequence. No awkward “just checking in” message after a booked meeting.

Because the sequencer is built in, you’re not paying extra for this functionality. All paid plans ($29/mo and up) include the sequencer; you only spend credits when you enrich new leads. That means a single well-built list can fuel dozens of sequences without incremental cost.

Realistic Results for RPA Leads

Across 300 leads targeted this way in Q1 2026, my team saw:

  • 22–35% connection acceptance rate on Day 1 (depends on segment; technical champions accepted more readily).
  • 10–15% reply rate to the Day 3 message among connections.
  • 3–5% meeting bookings from the full sequence.

If your connection rates dip below 18% after the first week, revisit the note’s customisation — generic intros get ignored. If replies fall below 7%, tweak the Day 3 angle; often, RPA leads care more about operational risk than I initially assumed, so I’ll test a governance-focused message.

When to Iterate on Messaging vs. Iterate on the List

Don’t change the list first. Start with the same 50 leads and A/B test two sets of messages. Only if both fail to hit benchmarks do I re-examine my ICP — maybe there’s an RPA tool shift I missed (e.g., more Power Automate shops than I expected). Origami’s saved prompts make it easy to go back, widen or narrow the audience, and re-enrich without restarting from scratch.


If you need to populate your pipeline with fresh RPA contacts before you run this campaign, I’ve detailed the exact list-building process in the companion article: how to build a list of RPA Technology Leads in 2026.

Frequently Asked Questions