We work out your AI strategy, train your teams, and build alongside your engineers until the thing runs in production. The same senior people are on it from the first call to the last commit.
AI is changing the way companies operate, build products and sell. The people we work with are CEOs, COOs and CTOs who want their company out in front of that.
We look at where AI changes your operations, products and go-to-market, then work out the order to make those moves in.
We train your people to use AI in their daily work and build the systems with your engineers, so the change sticks after we leave.
The same senior team leads it from the first strategy session until AI is running in production.
Each one ends with something concrete you can point to afterward, whether that's a plan, a team that's been trained, or code in production.
We figure out where AI pays back first and what's in the way. Go-to-market strategy lives here too, and we build it from your own pipeline data.
A 3-week readiness assessment and a prioritized plan your board can read.
Hands-on cohorts that work on your real workflows, using our SHIP framework (Scope, Harness, Iterate, Prove). We run separate executive briefings so the leadership team isn't left behind.
Every team leaves with its own workflows running on agents it can audit.
We build AI products and features with your engineers, in your repos. On the marketing side, agents run the automation and your team can audit what they do.
Production code your team owns when we step back.
We map how your company actually runs and pick out the workflows worth automating. Then we build agentic AI into them with your staff, covering everything from the first marketing touch to the renewal. People still sign off on anything that matters.
Explore AI Business OSIf you want the detail behind any of these, ask on the call and we'll walk you through the work.
A messaging SaaS company grew its market cap 13× during our 2020 to 2022 go-to-market engagement, and was acquired for $260M before the engagement ended.
Read the case →Our longest engagement: we were technical and security advisor to a healthcare communications company.
Read the case →Members covered by the unified record we designed for a health benefits trust of about 80 employers.
Read the case →A speech-recognition company we worked with was later acquired.
Innovaite Labs invests $25k to $100k in early AI companies and builds alongside the founders.
See Innovaite Labs →A working conversation about where AI fits and what's blocking it, and whether there's a fast path to production. We don't bring slides.
Three weeks of finding where AI pays back first and what's holding it up. At the end you get a prioritized readout your board can act on. We scope and price it with you on the call.
The same senior team stays on to run the plan. We track what the AI work is returning and adjust it as your business changes, and as the models do. We also meet with your leadership team on a regular schedule to go over it.
The call is the place to start. If an assessment isn't the right next step for you, we'll tell you.
We'll talk about your AI strategy and your team, and whether there's a fast path to production. We won't pitch you. Send the form and we'll reply within two business days.
If you have a minute before then, think about where AI should pay back first in your business. We usually start the call there.