We don't pitch decks.
We deploy systems.
We're a forward deployed engineering practice for businesses putting AI to work. We embed in your operation and build the machine — CRM, pipelines, AI automation, content engine — deployed, integrated, and running. Built by the engineers who also pick up the phone.
The Gap
Everyone sold you the tools. Nobody deployed the system.
Your business has a CRM that's really a contact list, a ChatGPT license that drafts the occasional email, and a pipeline that lives in the owner's head. Leads come in and wait days for a reply. Follow-up depends on whoever remembers. Reporting is a spreadsheet someone assembles by hand — when there's time.
It's not a tool problem. Every platform you've bought works. The gap is that nobody technical owns making them work together, inside your actual operation. Software vendors won't do it. Agencies hand you strategy and leave the building. Hiring a full-time engineer is $180K plus six months of ramp — for work that doesn't need forty hours a week forever.
That's the job we do. We embed with your team, build the revenue systems — CRM, automation, AI, content, reporting — and stay until they run without us watching.
Wondering what missed calls alone cost you? Run your own numbers with the missed call calculator →
The System
One team. Your whole revenue machine.
Every engagement is built from the same core systems, deployed into your existing operation — not a new platform your team has to move to. Sensible defaults, integrated with what you already use, running in production before we leave the room.
The Deployment Approach
Audit first, so nothing gets built blind. A working prototype before you commit. Then weekly ships inside your operation — every system documented, every account and asset owned by you, not rented from us.
CRM & Pipeline Architecture
A CRM your team actually uses: pipelines that match how you sell, automated follow-up on every stage, and no lead sitting untouched. Built inside your existing operation — not a new platform your team has to move to.
AI Intake & Reception
Every call and form answered in minutes, qualified, booked, and pushed into the pipeline. 24/7 coverage without hiring. Missed calls stop being missed revenue.
Enterprise AI Deployment
AI wired into real workflows on the right infrastructure — usually Azure OpenAI with proper data agreements and tenancy. And if someone’s trying to sell you on-prem hardware, we’ll tell you what it really costs before you sign.
Content Engine
A publishing system for the content that drives inbound: built, scheduled, and measured — not a strategy doc about it. The fractional CMO side of the engagement, running on rails.
Outbound & Campaigns
Targeted outbound and campaign management with follow-up automation behind it, so replies land in a system instead of an inbox. A2P registration done right, sequences that don’t burn your domain.
Reporting & Attribution
One dashboard for leadership: what came in, what closed, what marketing actually produced. Assembled by software, not by Sunday night. Every engagement ships with reporting from day one.
Who This Is For
Built for operators, not startups.
Industrial, trades, equipment, construction, logistics, and B2B service businesses — companies with real revenue, real customers, and no technical leadership on staff.
You’re referral-dependent
And you know it can’t scale — there’s no system to capture demand you don’t personally generate.
You bought the software
CRM, AI tools, marketing platforms — and adoption died in week two. The tools work; nobody deployed them.
You’re adopting AI
And getting pitched by everyone. You need an engineer on your side of the table, not another vendor.
Your ops outgrew your admin
Intake, scheduling, invoicing, and follow-up eating hours that automation should own.
You tried an agency
You got a strategy, a report, and an invoice. Nothing got built.
The Process
From fit call to running systems in weeks.
No 6-month implementations. No committee approvals. No PDF-only deliverables. You get a scoped plan and a working prototype before you commit to a retainer.
Fit Call
FreeFifteen minutes on whether this model fits your business. No pitch — if it’s not a fit, we’ll tell you who to call instead.
15 minutesAI Deployment Audit
$3,500 (credited to first month)A questionnaire, a 90-minute discovery session, then a 48-hour research sprint through your funnel, CRM, and operations — ending with a working prototype demoed live on the delivery call, not a PDF. You leave with a systems teardown and a scoped 90-day deployment plan. If you don’t move forward, you keep everything. If you do, the $3,500 is credited toward your first month.
~1 weekFirst 90 Days — Embedded
Retainer, billed monthlyThe build-heavy window. CRM and pipelines, intake and follow-up automation, AI deployment, reporting — shipped weekly, working software every Friday. Billed monthly while we validate the engagement works for both sides.
90 daysOngoing — Forward Deployed
Quarterly, preferred rateAfter 90 days, engagements move to quarterly billing at a preferred rate. We stay embedded, the systems keep compounding, and you have engineers who answer the phone.
OngoingYour Investment
One entry point. Two ways to work.
Every engagement starts with the audit. No exceptions — we don't build blind.
AI Deployment Audit
Embedded
Forward Deployed
A full-time senior engineer is $180K plus six months of ramp. An agency is $10K a month for decks. This is a senior team that ships inside your walls — for less than either.
Audit fee credited toward your first month. 7-day money-back guarantee on the audit. We schedule a free 15-minute call first to make sure we're a fit — no pressure, no pitch.
Proof of Build
Built, deployed, and running
in production.
Live platforms and automated pipelines — running in production right now.
Regional Law Firm
12-attorney firm · Real estate, business formation & estate planning · Inland Northwest
This firm was losing 25+ hours per week across their team to contract review, client intake processing, and internal document search. Their attorneys billed $325/hr on average but spent nearly a third of their day on non-billable admin work — reading contracts page by page, manually entering intake data into Clio, and digging through years of case files to find prior work product. Worse, multiple paralegals were using ChatGPT to draft documents and summarize case notes, sending privileged client data to OpenAI's servers without the partners knowing. We deployed a private AI system on a Mac Mini in their server room — running local LLMs for all privileged document processing, integrated directly with Clio, with a custom portal their entire team uses daily. Contract review that took 90 minutes now takes 30 seconds. Client intake processing dropped from 45 minutes to under 5. And zero bytes of client data have touched an external server since deployment.
Commercial General Contractor
35 employees · Commercial construction · CDA / Spokane corridor
This firm was spending 15-20 hours per week on bid preparation alone — pulling specs from architect plans, comparing subcontractor pricing, writing scope narratives, and assembling submission packages. Their bid data is the most competitively sensitive information in the company — a competitor seeing their pricing means losing every project. They couldn't use any cloud AI tool for bid work, which meant their estimators were doing everything manually while competitors with less sensitive data moved faster. We deployed a private AI system on-site that reads architectural plans and specs, extracts scope requirements, compares against their historical bid library, flags pricing anomalies in sub bids, and drafts RFI responses. The estimating team now assembles a complete bid package in a fraction of the time, and every document stays on hardware they own. We also built a contract change order tracker that monitors active projects and flags scope creep before it becomes a margin problem.
Client identities are confidential by policy. We protect our clients' information the same way we protect their data — it doesn't leave our hands without explicit permission.
What makes this different
Most consultants deliver a PDF. We deliver a working prototype on the audit call — and production systems inside your business in the first 90 days.
Who We Are
Meet Kyle Cunningham
Northline Systems was founded by Kyle Cunningham — a software engineer working in machine learning and AI since 2021, building production systems where reliability isn't negotiable. For the past two years, Northline has deployed AI infrastructure for businesses across the Inland Northwest.
That work taught a blunt lesson: most businesses don't have an AI problem or a tooling problem — they have a deployment problem. The platforms exist. What's missing is engineering inside the operation that makes them work together and stays accountable for the result. So that became the business.
Based in Coeur d'Alene, Idaho, working with businesses across North Idaho, Spokane, and remote. Founder-led, with no account managers, no offshore teams, and no subcontractors. The engineer who scopes your system is the engineer who builds it — and the one who answers when you call.
The tools exist. The gap is
deployment. Let's close it.
It starts with a 15-minute call — whether this model fits your business, and what an audit would look at. No pitch, no pressure.
AI Deployment Audit: $3,500
Credited toward your first month.
7-day money-back guarantee on the audit