AI & Automation
You’re competing against companies with more people and more budget, and the gap shows up as drag — manual work eating your team’s hours, processes that don’t scale, capacity you can’t add without hiring. Left alone, it caps how much a smaller team can do. We build the AI integrations, applications, and automations that close that gap — leverage built into your business, so a leaner team outproduces a larger one.
Leverage you can build, not just buy.
Every hour your team spends on repetitive, manual work is an hour a better-resourced competitor isn’t losing — and at your size, that drag compounds into a ceiling on what you can ship, serve, and win. Leave it in place and you’re hiring to do work that software should be doing, while the gap with bigger players widens. Applied AI and automation flip that: the leverage that lets a smaller team move faster, waste less, and operate at a scale its headcount shouldn’t allow. We do it by building real production systems — AI embedded inside the tools you already use, applications that turn a manual process or a strategic edge into working software, automations that quietly remove the work draining your hours — not a chatbot bolted onto your homepage, and not a prototype that breaks in week three.
We don’t bolt a chatbot onto your homepage and call it AI. We build. Custom AI integrations that put real capability inside the tools your team already uses. Applications — internal or customer-facing — that turn a manual process or a strategic edge into working software. Automations that connect your systems and quietly remove the repetitive work eating your team’s hours. Production systems that run, not prototypes that demo well and break in week three.
We know how to build these because we built our own. The Asymmetric Stack — the email orchestration, marketing intelligence, and research systems that let a small senior team run demand at agency scale — wasn’t bought off a shelf. We engineered it, we run it daily, and it’s a large part of why a firm our size competes the way it does. When we build leverage for a client, it’s the same kind of system we trust our own operation to.
And it stays tethered to growth. We’re not a dev shop that will build anything; we build the systems that remove what’s slowing your growth or sharpen what’s driving it — operations automated so your team works on what matters, AI integrated where it creates real advantage, applications that productize the thing you do better than anyone. Strategy decides what’s worth building. This capability builds it.
From drag to leverage.
Map
We start by walking your actual operation — the workflows, the tools, the handoffs — to find the two things worth acting on: the drag, where manual work is quietly eating your team’s hours, and the opportunity, where AI or automation would create leverage you can’t buy off a shelf. You show us how the work really gets done, not the org-chart version of it, and we trace where time leaks and where a strategic edge is trapped inside a manual process. The output is a prioritized map: the specific systems worth building, ranked by the hours they’d return or the advantage they’d create. It matters because most AI spend dies here — on building the impressive thing instead of the thing that moves your business — and this step makes sure we build the latter.
Design
Then we scope the system to fit the tools and workflow you already run, rather than forcing you onto a new platform to accommodate ours. We decide the shape of the build — an AI integration inside your existing tools, a standalone application, or an automation that connects systems and removes work — and define exactly what it does, where it plugs in, and how you’ll know it’s working. You see the plan before a line of code is written: scope, integration points, and the measure of success it’s held to. The deliverable is a build spec you’ve signed off on, which matters because it’s the difference between software engineered to your reality and a generic tool you have to bend your business around.
Build
We build it as a production system — engineered to run reliably, owned by you, documented for your team — not a prototype that demos well and breaks in week three. This is the same standard and the same stack we use for the Asymmetric Stack that runs our own operation daily, so what you get is a system we’d trust to run a business, because we trust its equivalent to run ours. During the build you get working software to react to, not a black box revealed at the end. You walk away owning the code and the documentation, which matters because leverage you can’t maintain, extend, or understand isn’t leverage — it’s a dependency.
Integrate
Finally we deploy it, connect it into your stack, and make sure it actually compounds — measured against the time saved or the advantage gained, not against a demo. We wire it to the tools and data it needs, hand your team the documentation to run and extend it, and confirm it’s doing the job we scoped it to do under real conditions. You get a system in live use and a clear read on what it’s returning you. It matters because a build that ships but never gets adopted is wasted spend; this step closes the gap between delivered and actually driving the outcome it was built for.
What to expect.
Production software your team runs in daily operation — the kind we’ve shipped as full ERPs (Stride, HazardOS, YieldPath, Lomax), an AI-powered SaaS (Eydn), and customer-facing calculators — not a prototype that breaks in week three.
Leverage a small team operates on, built to the same standard as the Asymmetric Stack we run our own firm on — so work gets removed, not just sped up, and your headcount stops being the ceiling.
AI embedded where it creates real advantage and left out where it doesn’t — a system you own, documented and built to keep working as you grow, not a black box only the builder understands.
Where this has paid off.
Every project below was built with AI-assisted development — how a team our size ships production software this fast. Some run AI in daily operation; others don’t need to. Either way: real systems, not prototypes that demo well and break in week three.
Applications & platforms
Stride
Three Gaits
An ERP purpose-built for therapeutic-horsemanship centers — students, sessions, horses, volunteers, and scheduling in one production system.
HazardOS
Advanced Health & Safety
An operating system for environmental-remediation companies — field operations through to the back office on one platform.
YieldPath
Doudlah Farms
An ERP for an organic-farm and e-commerce operation, built to run production, inventory, and fulfillment together.
Lomax
Cordwainer Memory Care
An ERP for a memory-care community — operations and resident management unified in one system.
Eydn
Eydn
A full wedding-planning SaaS with an AI planner powered by Claude — generated timelines, budget tracking, and guest management.
Calculators & interactive tools
ROI calculator suite
Aviary
Three customer-facing ROI calculators — call center, lead generation, and retention — for an AI voice-agent platform, with industry defaults and full payback and NPV math.
ATM ROI calculator
BluePoint ATM
A customer-facing tool modeling ATM-placement returns across cash, surcharge, and transaction revenue.
EPR calculator
Paper Tube
A calculator modeling extended-producer-responsibility packaging fees and the savings from recyclable fiber tubes.
Affordability & readiness planner
The Cordwainer
A memory-care affordability and readiness planner — a guided assessment that returns a personalized PDF report.
Workplace-violence assessment
Kestralis Group
An exposure-assessment tool built around California’s SB-553 workplace-violence-prevention requirements.
AI and automation builds run $10,000–$50,000, scoped per project by complexity and integration depth.
Frequently asked questions
What does an AI or automation build cost?
AI and automation builds run $10,000–$50,000, scoped per project by complexity and integration depth.
Do you build production systems or prototypes?
Production systems — engineered to run reliably, owned by you, and documented for your team — not a prototype that demos well and breaks in week three. It's the same standard we hold the Asymmetric Stack to, the systems that run our own operation daily.
Will I own the software you build?
Yes. You walk away owning the code and the documentation, because leverage you can't maintain, extend, or understand isn't leverage — it's a dependency.
Tell us what you need.
Two minutes. Five fields. Describe what you’re looking for and we’ll get back to you within one business day with a sense of scope, timing, and next steps.
/services/capabilities/ai-automation/ · Capability 07