Enterprise engineering has a toil problem
Manual workflows. Unclear processes. Teams that want to adopt AI but don’t know where to start — or can’t distinguish what requires AI from what needs agents, automation, or just better engineering discipline. Leadership is frustrated. Velocity is low. The tools exist to fix it, but knowing how to apply them is the hard part.
That’s where we come in. We build the solutions ourselves — software, automation, AI-accelerated workflows — and once we’ve delivered measurable results, we offer coaching and training so your teams can own it independently.
We don’t bill hours. We deliver outcomes.
Most consultancies shift risk to you — fixed scope, hourly billing, your problem if it doesn’t work. We do the opposite. We agree on the outcome, go at-risk, and get paid when we solve the problem we promised to solve.
At-risk engagement model
Fixed-bid, outcome-based. We define the result upfront and aren’t paid until we deliver it.
AI as accelerant, not bandaid
We use AI as much as possible — but we know it can’t fix bad engineering. We fix the foundation first.
We teach what we build
After delivery, clients can engage us for coaching and training so your teams own the solution independently.
Three ways we engage.
Workflow automation & platform engineering
We identify high-toil, high-value workflows and build the automation to eliminate them — using modern platform engineering and AI-accelerated development practices.
AI integration & strategy
From identifying where AI creates real leverage to implementing agents and LLM-powered tooling — we distinguish hype from value and build what actually moves the needle.
Engineering coaching & training
Once we’ve delivered, we offer hands-on coaching and structured training so your engineers understand how we built it, can maintain it, and can extend it independently. Knowledge transfer is built into how we work.
People, process, and technology — in that order.
AI amplifies what’s already there. We start by assessing and strengthening your engineering foundation across three dimensions — then we introduce AI strategically, measurably, and where it creates genuine business value.
People
Organizational alignment, talent management, role clarity, and skills development pathways that build high-performing engineering cultures.
Process
Portfolio management, product management discipline, cross-functional team effectiveness, and maturity assessments that identify optimization opportunities.
Technology
Architecture excellence, platform development, operational observability, infrastructure automation, and strategic AI integration — all built on sound distributed systems principles.
Where we work.
Our engagements span complex enterprise technology environments. Current clients include a leading pharmaceutical distribution organization and a healthcare technology platform serving revenue cycle management at scale.
Who you’re working with.
Dragon Sky
Principal & Technical FellowFounder and technical leader with deep expertise in platform engineering, distributed systems, cloud architecture, and building high-performing engineering cultures.
Scott Reel
Chief of StaffOperational leader ensuring seamless engagement execution and strategic alignment across all client initiatives.
Justin Schmidt
Platform ArchitectSenior engineering leader with decades of software engineering and consulting experience, driving technical excellence across client engagements.
Casey Hyde
Platform Lead EngineerEngineering specialist focused on implementing automation, platform capabilities, and modern development workflows.
Russ J.
Platform Lead EngineerEngineering specialist delivering robust, scalable solutions aligned with industry best practices.
Ready to reduce toil and accelerate your engineering?
Start with a no-commitment discovery session. We’ll identify the highest-value opportunities in your organization and outline what a fixed-bid engagement could look like.
Schedule a discovery session Or email us directly: admin@integraldragon.com