Custom Outreach Messages: Top 5 Named Accounts
Campaign: Insurance Broker Lead Intake Automation
Use case: First-touch LinkedIn connection/DM for Shepherd, Scott, Starkweather, Houchens, BMB
Last updated: 2026-02-04
These are custom 1:1 messages that reference specific documented pain points from the research report. Do NOT use generic templates for these 5 firms.
1. SHEPHERD INSURANCE (~$74M, Carmel, IN)
Pain Point
Failed LLM/RAG pilot. Publicly documented: “Non-deterministic,” “unreliable,” “hype has not lived up to expectations.” Manual underwriting is “laborious and painful.” 4-day submission-to-proposal lag.
Target Personas
- Head of Operations / COO
- Hiring manager for Personal Lines Account Manager roles
Message Option A: Direct LLM Failure Acknowledgement
[CONNECTION REQUEST]
Hi [Name], saw your team at Shepherd tested LLMs for underwriting intake. We built the solution you were looking for — task-specific, cited, no hallucinations. Would love to connect.
[FOLLOW-UP MESSAGE — 5-7 days after connection]
[Name], appreciate the connection.
I saw your team documented the LLM pilot — “non-deterministic outputs,” unreliable table extraction. You rejected it for the right reason. Generic AI trained on everything doesn’t work for precision tasks like insurance.
We built what you needed: task-specific automation trained only on intake workflows. Every extraction is cited (page, section, timestamp). No guessing, no hallucinations.
Your 4-day submission lag × 50 leads/month = 200 hours of manual work. We turn that into 20 hours.
Can I show you the deterministic IDP approach in a 15-minute demo? Would love to walk through how we solve the exact problem your pilot couldn’t.
Message Option B: Hiring Manager Angle
[CONNECTION REQUEST to hiring manager]
Hi [Name], saw you’re hiring Personal Lines Account Managers at Shepherd. We automate the intake workflows that create the bottleneck. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
I noticed Shepherd is hiring multiple Account Managers — Naples, Sarasota, Bedford — and I understand why. Your intake process requires staff to “gather prospective underwriting information by carrier,” which I’m guessing means logging into multiple portals and re-keying data.
Your team tested LLMs to automate this and hit the reliability wall. We built the cited, task-specific alternative.
Quick question: If you could cut intake from 4 days to 4 hours, would that change your hiring needs?
Happy to show you a 15-minute demo of the workflow.
2. SCOTT INSURANCE (~99M, Lynchburg, VA)
Pain Point
20-hour WIP reports for surety clients (VP quote: “highly manual process”). Manual file shuffling. Hiring Intake Coordinators and Production Underwriting Assistants.
Target Personas
- VP of Surety / Head of Surety
- CFO
- Hiring manager for Intake Coordinator / Production Underwriting Assistant
Message Option A: VP of Surety (20-Hour WIP Hook)
[CONNECTION REQUEST]
Hi [Name], saw your VP mentioned WIP reports take up to 20 hours. We turn that into 20 minutes with automated financial data spreading. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
Your VP called out the WIP bottleneck: “highly manual process, 20 minutes to 20 hours.” Let’s do the math:
50 contractors × 20 hours each = 1,000 hours/year
At 75,000/year on one task**That’s half an FTE’s annual capacity spent on report generation — not analysis, not client service, just data entry.
We automate the financial data spreading. Ingest QuickBooks export or Excel WIP → auto-map to surety format → cited output. 20 hours becomes 20 minutes.
Can I show you the workflow with a sample contractor WIP? 15-minute demo.
Message Option B: Hiring Manager (Intake Coordinator)
[CONNECTION REQUEST to hiring manager]
Hi [Name], saw Scott is hiring Intake Coordinators. We automate the manual intake workflows that drive that need. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], appreciate the connection.
I saw you’re hiring Intake Coordinators — and I understand why. Between the surety WIP bottleneck (20-hour reports) and the benefits file shuffling your team mentioned, the manual workload is overwhelming.
We specialize in automating intake for surety and complex commercial risks. Cited extraction, submission-ready drafts, automated WIP analysis.
If we could cut your intake volume by 50%, would that change your hiring plans?
Happy to show you a quick demo of the workflow.
3. STARKWEATHER & SHEPLEY (~91M, East Providence, RI)
Pain Point
SVP quote: “If I could change one thing, it would be not having to deal with all these spreadsheets and PDFs.” Hiring armies of Assistants. Hiring an Enterprise Architect.
Target Personas
- SVP Operations (the person who gave the quote)
- Enterprise Architect
- Hiring manager for Commercial Underwriting Assistant / Personal Lines Assistant
Message Option A: SVP Operations (Spreadsheet Fatigue)
[CONNECTION REQUEST]
Hi [Name], saw your quote about spreadsheets and PDFs. We turn those into the structured data your Enterprise Architect needs. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
I came across your comment: “If I could change one thing, it would be not having to deal with all these spreadsheets and PDFs.”
Here’s the problem: You’re hiring an Enterprise Architect to build a modern data foundation. At the same time, you’re hiring Underwriting Assistants to manually process Excel and PDFs. The Architect needs structured inputs; the assistants can’t structure them fast enough.
We sit upstream. Ingest the spreadsheets/PDFs → structure them into your data warehouse → cited, auditable. Your Architect gets the inputs they need. Your assistants focus on exceptions, not data entry.
Can I show you how we turn a messy schedule of locations (Excel) into structured risk data? 15-minute demo.
Message Option B: Enterprise Architect (Data Foundation)
[CONNECTION REQUEST]
Hi [Name], saw S&S hired you to build a data foundation. We automate the ingestion layer — turn spreadsheets into structured inputs. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
You’re building the data architecture, but your team is buried in spreadsheets and PDFs. Classic “garbage in, garbage out” problem — you can’t build a warehouse without structured inputs.
We automate the ingestion layer. Extract structured risk data from Excel schedules, PDFs, emails → cited outputs with explicit source tracing → feeds into your data transformation.
You design the warehouse; we make sure the inputs are clean before they hit your pipeline.
Can I show you the ingestion workflow in 15 minutes? Would love your technical feedback.
4. HOUCHENS INSURANCE GROUP (~$72M, Bowling Green, KY)
Pain Point
Failed direct bill automation (“complexity of direct bill statements”). Hiring COBRA Processors. 12 offices in 5 states.
Target Personas
- Head of Operations / COO
- Sarah Walden, Senior Application Technician
- Hiring manager for COBRA Processor / Personal Lines Client Associate
Message Option A: Head of Operations (Failed Automation)
[CONNECTION REQUEST]
Hi [Name], saw your direct bill automation fell short due to statement complexity. We specialize in parsing complex carrier docs. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
I saw HIG’s first automation attempt (direct bill reconciliation) failed because of “complexity of direct bill statements.” That’s a common problem — carriers send statements in 100 different formats, and generic OCR/automation can’t handle the variance.
We specialize in parsing complex, non-standard documents. AI-powered commission reconciliation with cited outputs. We handle the messy statements your last vendor couldn’t.
Plus I noticed you’re hiring COBRA Processors. COBRA is rules-based — perfect for automation. We can handle that too.
Can I show you how we parse a messy carrier statement in 15 minutes?
Message Option B: Sarah Walden (Application Technician)
[CONNECTION REQUEST]
Hi Sarah, saw you manage software across HIG’s 12 offices. We automate intake and reconciliation workflows — reduce the tool sprawl. Would love to connect.
[FOLLOW-UP MESSAGE]
Sarah, appreciate the connection.
Managing software across 12 offices in 5 states is a nightmare when every office has its own manual workflow. You’ve got email, PDFs, local drives, and 5 different carrier portals.
We centralize intake automation upstream of your AMS. One workflow for document ingestion, extraction, and submission-ready drafts. Reduces the “tool per office” sprawl and gives you a single point of management.
Can I show you the centralized workflow in 15 minutes? Would love your technical input.
5. BOWEN, MICLETTE & BRITT (~86M, Houston, TX)
Pain Point
Manual “assembly line”: Processor opens email → Placement Specialist types into carrier websites → forwards for review. Hiring Placement Specialists.
Target Personas
- Head of Operations / COO
- Hiring manager for Commercial Insurance Placement Specialist
Message Option A: Head of Operations (Assembly Line Inefficiency)
[CONNECTION REQUEST]
Hi [Name], saw BMB’s placement workflow has two manual handoffs before a quote is generated. We eliminate the typing step. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], thanks for connecting.
I noticed your placement workflow: Processor distributes lead → Placement Specialist manually types data into carrier websites (“generate quotes online”) → forwards for review.
That’s two manual handoffs and double the labor cost before you even have a quote. And your Specialists (who should be negotiating) are doing data entry.
We automate the submission step. API-first platform: data from intake → pushed to multiple carriers simultaneously. Your Specialists focus on placement strategy, not typing.
Can I show you the API workflow in 15 minutes? One click to push a construction risk to 5 carriers.
Message Option B: Hiring Manager (Placement Specialist)
[CONNECTION REQUEST to hiring manager]
Hi [Name], saw you’re hiring Placement Specialists. We automate the manual quote generation step so your Specialists can focus on strategy. Would love to connect.
[FOLLOW-UP MESSAGE]
[Name], appreciate the connection.
I saw you’re hiring Placement Specialists — and I understand why. Your workflow requires them to manually “generate quotes online” by typing into carrier portals. That’s a $75K/year human doing a bot’s job.
We automate the submission step. Your Processor hands off the lead → system pushes to carriers via API → Specialist reviews quotes and negotiates. No more manual typing.
If we could cut manual quote generation by 80%, how many more accounts could your current team handle?
Happy to show you a 15-minute demo of the workflow.
Multi-Threading Strategy
For each of the Top 5 firms, reach out to BOTH:
- Decision-maker (Head of Ops, COO, VP of Surety, etc.) — budget authority
- Hiring manager (whoever is posting the Assistant/Coordinator/Specialist roles) — confirms the pain
Why this works:
- Hiring manager validates the operational bottleneck (“Yes, we’re drowning”)
- Decision-maker has authority to sign the deal
- If one doesn’t respond, the other might
- If both respond, you have internal champions at two levels
Coordination:
- Space outreach by 2-3 days (decision-maker first, then hiring manager)
- Reference the hiring in the decision-maker message (“Saw you’re hiring Coordinators — I understand why”)
- Don’t mention each other in initial outreach (avoid appearing overly aggressive)
Timing & Follow-Up
Week 1 (Days 1-2)
- Send connection requests to all Top 5 decision-makers
- Log in HubSpot
Week 1 (Days 3-5)
- Send connection requests to all Top 5 hiring managers
- Log in HubSpot
Week 2 (Days 8-12)
- Send follow-up messages to connected decision-makers
- Send follow-up messages to connected hiring managers
Week 2-3 (Days 10-15)
- Respond to replies
- Offer demo
- Log outcomes (interested / not interested / no response) in HubSpot
Response Handling
If they say “We already tried automation and it failed”
Response:
“Exactly — that’s why I reached out. The automation you tried (LLMs, generic OCR) fails on precision tasks because it’s trained on everything. We’re task-specific, trained only on your workflow. Every extraction is cited. No hallucinations. Can I show you the difference in 15 minutes?”
If they say “We don’t have budget right now”
Response:
“Totally understand. Quick question: if you’re hiring [Assistants/Coordinators] at 70K each, and we could eliminate 1-2 of those roles, would that free up budget? Our pilot pricing for early customers is designed to be ROI-positive from day one.”
If they say “Send me more info”
Response:
“Happy to. I’ll send over a one-pager. But honestly, the best way to understand it is a 15-minute demo with your actual data (a sample lead or WIP). Does [Day/Time] work for a quick call?”
If they say “Who else are you working with?”
Response:
“We’re in pilot with [X commercial brokerages / surety firms] right now — can’t share names yet, but happy to connect you with a reference once we’re further along. We’re offering pilot pricing to the first 3 firms who help us build this out. Interested in being a design partner?”