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What We Do
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About Us
Move beyond isolated AI experiments to build scalable, domain-driven systems with AI-ready architectures.
Enhance valuation and accelerate ROI through due diligence, tech migrations, and strategic restructuring.
Control cloud costs, streamline data, and focus investments on high-value, scalable solutions.
Streamline operations and improve decision-making by aligning your ERP systems with how your business actually works.
Reduce risk and increase resilience by closing the security gaps hiding in your architecture and workflows.
Optimize operations, restructure teams, and modernize technology to maximize the value of digital investments.
Deliver mission-critical software in production-ready increments that create measurable value early.
Reduce risk and complexity with every cycle, turning legacy systems into platforms that can evolve.
Management Consulting
Software Engineering
Product & Strategy
AI
Security
Cloud
Data
Talent
The belief that shaped us — and how it evolved into LiminalArc, the natural next step in our journey.
Our team of over 100 experts spans the nation, from consultants and technical architects to product specialists.
We are looking to hire mature, pragmatic consultants who are deeply passionate about meaningful change.
Connect
What AI Looks Like at Scale
In a multi-unit enterprise.
The Org Chart Isn’t the Operating Model
Your business units are already running AI experiments, and several of them are running the same one. The problem isn’t ambition or tooling. The layer between the units doing the experimenting and the systems the results have to run on is usually missing, or it’s a platform team that was never chartered for it. So what one division proves stays in that division.
This guide is the operating model on one page. Business units place a short list of bets close to the work. A shared run layer owns what gets proven and runs it for every unit. Underneath sits the capability foundation you already have, organized around what the business does, with data owned at the source.
What You’ll Take Away
- The three-layer model on one page, showing how each element works today and how it works in the model
- Who makes the decision to platform, and the rule for when to make it
- Why the many-to-many between solutions and capabilities needs a layer of its own
- What has to be true before each part of the model can stand up
- Where to start: one unit, one proven solution, one capability domain, end to end
- The same picture read four ways: board story, IT agenda, cost-out, and operations
Download the White Paper.
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