Enterprise AI Consulting
15 years of engineering and consulting experience, from startups to Fortune 500. We've seen what works at every scale, and what doesn't.
Most AI consulting is theater.
Companies hire consultants who hand them a slide deck full of possibilities and leave. Six months later, nothing has shipped. The team is no closer to using AI than when they started. The challenge isn't understanding AI. It's implementing it in a way that sticks. That means navigating internal politics, legacy systems, skill gaps, and the very real fear that comes with changing how people work. Most consultants skip this part.
- Slide deck syndrome
- Strategy documents that never become working systems.
- Adoption collapse
- Teams trained on tools they never actually use day-to-day.
- Scale blindness
- Solutions designed for demos that break under real enterprise conditions.
Consulting that ships.
Every engagement is hands-on: we embed with your team, working inside your real workflows to build systems that outlast the consulting contract.
- 1
Embedded Discovery
We sit with your team in their workflows, not in a boardroom. Map real processes, identify where AI creates leverage vs. where it creates friction.
- 2
System Architecture
Design AI systems that integrate with what you already have. No rip-and-replace. We build bridges between your existing stack and the AI layer that makes it smarter.
- 3
Hands-On Transfer
Your team learns to run, extend, and evolve the systems we create together, so everything keeps running after we leave.
What 15 years looks like.
Not vanity metrics. The honest version: where the work has been, and what it taught us to say out loud.
- Track record
- Roughly 15 years of engineering and consulting, across more than 50 engagements.
- Measured impact
- One engagement produced a number the client verified themselves. The full figure is broken out below.
- Range
- Early-stage startups finding product-market fit through Fortune 500 teams redesigning how they work.
- What we say no to
- The engagements where AI was an expensive experiment, not leverage. We have told paying clients to wait, and meant it.
We bring the same rigor to every engagement, whatever the size. The difference is 15 years of pattern recognition: knowing which AI applications create real leverage, and which ones only look like progress. When we say a thing will not work for you, that is the part most consultants leave out.
Churn-prediction models we built for a major online marketplace drove $4.1M in incremental revenue. The client measured the number; we did not estimate it. It is the one result on this page we can point to without hedging, which is exactly why it is the one we lead with.
Online marketplace · churn predictionReady for consulting that ships?
Book a free strategy call. No pitch deck, no pressure, just a conversation about where AI fits for your organization.