CARLILE × EOTECH

Intro Call Prep Brief · Confidential

EOTECH & Dan Agosta

Everything you need to walk into Wednesday's call sounding like you already understand their world — and to leave with one clean first win.

Wed, July 1 · 10:00 AM ET Video call (you send invite) Intro by Joe Caradonna Prospect: Dan Agosta, CIO

The 60-Second Version

What this call really is

A warm intro from a family friend to a pragmatic CIO. Not a pitch. Your job is to listen, show you respect the constraints, and find one small, measurable problem worth solving.

105

People, not thousands

EOTECH is a mid-size manufacturer, not a giant. You're not out of your league.

1

One win, not the whole company

Aim to leave with a single, low-risk first project — then expand from there.

70%

Listen more than you talk

Dan's an ops CIO. Good questions beat a slick pitch every time on call one.

The Company

EOTECH, Inc.

Plymouth, Michigan. They design and build holographic weapon sights, magnifiers, and thermal/night-vision optics for military, law enforcement, and civilian markets.

What they make
Holographic weapon sights & advanced optics. The red-reticle sights you've seen on rifles are their signature product.
Markets
Military, law enforcement, and commercial/civilian shooters.
Size
~105 employees. Mid-size, single main site in Plymouth, MI.
History
Founded 1995 (spun out of ERIM). Spent years as "EOTech, an L3 company" before going independent.
Ownership
Acquired by American Holoptics in 2020. Independent and building out its own systems since.
The big constraint
ITAR / export-controlled. Their product technical data is legally restricted. This shapes everything about what AI can and can't touch.

Why "independent since 2020" matters: a company that recently left a big parent is usually still building out its own IT and processes. That's fertile ground for someone who can make a small, smart improvement.

The Person You're Meeting

Daniele "Dan" Agosta — CIO

Read him right and the call gets easy. He is a manufacturing-IT operations leader, not a software hobbyist. He buys outcomes, time saved, and clean metrics.

Career
Project Lead at General Motors; before that multiple roles at Stellantis / FCA. Deep auto-manufacturing IT & logistics background.
Education
MBA, Walsh College (2017–2022).
Strengths he lists
IT Strategy, IT Operations Management, Key Metrics, Data Warehousing, Business Intelligence.
Based
Utica, MI.
How to talk to him

Speak operations and ROI — not model names

Dan came up running projects in giant auto plants. He thinks in process, throughput, metrics, and dashboards. He is not looking for a peer to geek out with about AI models. He wants someone who can take a boring, expensive task off his team's plate and prove it with a number.

Do: talk about time saved, fewer dropped requests, faster turnaround, live dashboards. Don't: name-drop GPT-5 vs Claude, get abstract, or oversell. Calm and practical wins him.

The Strategic Lens

The ITAR line — your credibility move

This is the single insight that will set you apart from every other person who ever tries to sell them AI. Understand it cold.

The trap most vendors miss

Commercial AI on controlled data can be an illegal export

ITAR requires that controlled technical data never travel through infrastructure a foreign national could access. Pasting ITAR-controlled designs or specs into commercial ChatGPT/Claude can legally count as an unauthorized export — a serious violation. Most AI vendors have no idea.

Lane 1 — Non-controlled (easy)

Internal email, HR, IT helpdesk, general SOPs, commercial/LE-side quoting, marketing. None of this is controlled tech data, so normal cloud AI is fine, fast, and cheap. This is where your first win almost certainly lives.

Lane 2 — Controlled (on-prem)

Anything touching design specs or manufacturing tech data needs an air-gapped / on-prem model. Now achievable for mid-size shops: ~$10–15k of hardware + open-source models that rival commercial APIs for most business tasks.

Your line if Dan says "we can't put our data in the cloud"

"Right — for controlled technical data you'd want a private, on-prem model so nothing ever leaves your environment. For your back-office and commercial-side work, cloud is perfectly fine. The trick is separating those two cleanly, and that's exactly the kind of thing I help figure out."

Where AI Creates Value

Ideas to have in your back pocket

Don't pitch these as a plan. Surface the right one based on what Dan tells you hurts. Each is ITAR-safe (Lane 1) unless noted, and each maps to something you've already built.

1

Inbound email / request triage agent

Your strongest — you've literally built this
The pain
Sales, vendor, and support email piles up. Humans sort, summarize, and route it by hand. Things slip.
The fix
An agent watches a shared inbox 24/7 — classifies, summarizes, flags urgency, drafts a first reply, routes to the right person. Never touches controlled data.
Your proof
Guardian Security already ingests email 24/7 and returns an AI verdict. Same pattern.
The payoff
Hours back per day; nothing falls through the cracks; faster commercial/LE response.
2

Quote / RFQ intake & prep

Biggest, most CIO-friendly ROI number
The pain
Quoting is slow and expert-dependent; specs get read by hand. Expertise walks out when people retire.
The fix
AI extracts requirements from incoming RFQs, pre-fills the quote, reuses proven pricing logic. Keep it to commercial/LE specs, not controlled data.
The numbers
Industry: RFQ processing ~2.5 hrs → ~25 min; one aerospace maker hit +85% quote volume at the same headcount.
Your proof
Warsaw listing tracker — monitor → triage → draft. Same shape.
3

Internal SOP / knowledge "second brain"

Speaks to his data-warehouse instincts
The pain
Staff hunt through SharePoint for SOPs, policies, IT runbooks, HR answers. Senior people get interrupted constantly.
The fix
A private assistant that answers only from EOTECH's own validated, non-controlled documents. Faster onboarding; knowledge preserved.
The proof
Joe's Kids & Freemyer — autonomous agents that monitor sources and pull from documents.
The payoff
SOP assistants (AODocs-style) cite only the latest validated version — exactly what a quality/compliance shop needs.
4

BI dashboards from manual reports

Directly in Dan's wheelhouse
The pain
Someone rebuilds the same weekly/monthly report by hand from ERP/MES exports.
The fix
Turn those manual reports into live dashboards. Low-risk, high-visibility, and it speaks his exact language (BI, data warehousing).
Context
Agentic AI is showing 30–50% cycle-time cuts vs. 10–15% from old rule-based automation. Audi stood up an internal AI assistant in ~2 weeks — these are weeks-not-years projects.

Why You're Credible

You've already built the patterns

You don't need defense experience. You need to show you build small autonomous agents that watch an input, pull from documents, and draft the next action — without touching anything sensitive.

Your one-liner

"I help businesses find where AI actually saves time, then either advise your team or build it — a second brain over your own documents, agents that handle repetitive work, or just practical tips you can run with. Everything stays in non-sensitive internal operations, which matters in an ITAR shop like yours."

Guardian Security · 24/7 email verdicts Joe's Kids · grant-scout agent Freemyer · regulatory monitoring WTP Media · internal AI assistant + workflows Gulker · CRM + ops automation Warsaw · monitor → match → draft

You've delivered value both ways — as quick advisory tips (Brandon Noll, Jim Lancaster, Matt Shatto) and as full builds (WTP, Gulker). Lead with flexibility: "I can advise or build, whatever's right." That lowers the commitment and fits a first call.

The Call Playbook

Questions that make you sound sharp

Ask these, listen hard, and let the right use case surface on its own. The goal is to find the one task worth taking off their plate.

  1. Mostly I just wanted to meet you — but to make it useful, where does your team lose the most time on repetitive, document-heavy work?
  2. Coming from GM and Stellantis, what's the IT-maturity gap you're most focused on closing now that EOTECH is independent? Shows you did your homework and respect his background.
  3. How does a quote get produced today, start to finish — who touches it?
  4. When someone needs an SOP or policy answer, how do they actually find it right now?
  5. What report does someone on your team rebuild by hand every week that you wish was automatic?
  6. How are you and your team using tools like Claude or ChatGPT today — and what connectors or systems have you set up? Positions you as a guide, opens the door to quick tips or a bigger build.
  7. Given ITAR, what's your current stance on cloud AI vs. on-prem / private models? This one earns instant credibility. Most vendors never think to ask it.
  8. If we could take one boring, high-volume task off your team in the next 30 days, what would you pick? The closer. His answer is basically your pilot scope.

Flow & Next Steps

How to run it

1

Warm open (2 min). Thank Joe, keep it human. "Mostly wanted to meet you — let's make it useful."

2

Discovery (15–20 min). Work through the questions. Listen 70% of the time. Take notes on the pain points.

3

Reflect back (3 min). "Here's the cleanest first win I'm hearing..." Name one specific, small thing.

4

Offer the next step. "Want me to put together a one-page, fixed-scope pilot on just that? Small, low-risk, measurable." Then send it within a day.

Posture reminder

You're not biting off EOTECH. You're finding one small, measurable win and pricing it so it's easy to say yes. Land it, prove the ROI, expand into a retainer. That's the whole game on call one.

Sources: EOTech (Wikipedia) · Dan Agosta (LinkedIn, ZoomInfo) · StartProto, Microsoft & AODocs on manufacturing AI ROI · Greypike, Concentric & OutcomeOps on ITAR / air-gapped AI. Prepared by Carlile Advisors, June 29 2026.