For commercial teams · A Mynd Labs engagement
We redesign your commercial team's most expensive workflows with AI, build the new version so it actually runs in your own tools, and measure, 60 days later, which ones are still used. Not a training day. A measurable change in how sales, marketing, export and customer operations get their work done.
Companies have bought the tools. What they have not done is change the work. Training teaches your team what a model can do; it rarely survives the first busy week. The bottleneck was never access to AI, it was rebuilding the specific, expensive workflows a commercial team runs every day, and making the new version the one people actually reach for.
That is the whole engagement: pick the workflows that cost the most, redesign them with AI, build the new version so it actually runs, and come back to measure what stuck.
How it works
Optional start
Half a day, with your leadership
We map where AI actually changes your commercial economics and leave with the two or three workflows worth redesigning first. The fastest, lowest-commitment way to see whether this fits, before a team gives up a day.
The design sprint
One day, 6 to 8 people, one workflow
One commercial function, in the room, on your own live cases. You leave with a measured baseline of what the workflow costs today, the redesigned version rehearsed live, and a concrete, written plan to build it. Not slides about AI.
Your decision point
You can stop here. You already have your own measured number, the redesigned workflow, and a fixed plan to build it. Whether to build is a decision you make after seeing your own data, not before.
The build
Two to four weeks, in your own environment
This is the part most consultants can't do: we build the redesigned workflow so it actually runs, templates, generators, data connections, automatic measurement, in your own tools, on your own accounts. It runs without us.
The proof
Day 30 and day 60
We come back and count which redesigned workflows are still in use, against the baseline we set on day one. Adoption, not attendance, is the deliverable.
Scope is set per engagement, once we know which workflows are worth the room. The executive session is where that gets decided.
What you actually buy
The outcome is measurable AI adoption across sales, marketing, export and customer operations, the workflows your commercial team already lives in. Every claim is set against a baseline and labelled honestly: what we observed, what we verified, and what remains an estimate. At day 60 we come back and count which redesigned workflows are still in use. That number is the point of the whole thing.
20 to 250 people, a real commercial team, selling across borders. Every hour saved in the export and sales workflow lands directly on the margin, and the export margin has been thinning for a decade.
Law, accounting, advisory, research, agencies. You sell hours, so an hour recovered from a commercial workflow is revenue, and your own clients are the next hundred conversations.
Why me
Half a day with your leadership to find the workflows worth redesigning. Bring the commercial problem; you leave knowing whether this is worth a team's time.