Most AI programs stall for ordinary reasons: fuzzy strategy, unreliable data, teams stuck in their ways. We fix those before you invest.
See how we workThe model isn't the advantage. Your foundation is.
Some AI projects will make you money. Most won't. We sort one from the other based on your actual constraints, then give you a plan in order of priority, with a name and a date attached to each step.
Your AI systems will amplify whatever's in your data, good or bad. We look at how it's collected, governed, and moved, then fix the problems while they're still cheap to fix.
Tools change faster than habits. We redesign the workflows, incentives, and training so what worked in the pilot becomes how the team operates.
Two to three weeks inside your business, watching how data flows, how decisions get made, and where work gets stuck. The bottlenecks usually name themselves.
Everything we found, ranked two ways: what it depends on and what it pays off. What has to happen first, what can wait, what shouldn't happen at all.
Hands on the work, next to your team. Cleaning data, piloting tools, changing how decisions get made. Your team does the work with us, so they can do it without us.
When it runs without us, we leave. That's the plan from day one.
an amass newsletter
Weekly notes on AI, data, and organizational change, written for the people on the hook for making it work.
We take on a handful of clients each year, almost always by introduction. If someone we've worked with sent you, let us know. If not, tell us what you're working on anyway. That's how most of our introductions started.