Buying an AI tool is easy. Getting a team to use it every day, on real work, is the part that decides whether the investment pays back. Most pilots stall not because the technology fails but because nobody mapped the process it was supposed to replace.
What we do
We map the workflows first and score them by volume, error rate and how much human judgement they really require. Only the ones that clear the bar get automated. Then we build on infrastructure that will still be maintainable in a year: documented prompts, versioned logic, monitoring and a fallback when the model is wrong.
What you get
A short list of automations that actually earn their keep, a team trained on them, and clear numbers on hours saved and quality gained.
We stay involved through adoption, because a tool nobody opens is not an implementation.