A partnership that pairs the tooling with the harder half: changing how your team works. Training built around your actual workflows, someone on your team who owns each one, and before-and-after numbers that show whether any of it moved the business.
Most companies think they're doing AI when what they're really doing is letting AI happen to them. Someone expensed a subscription. A few power users built something clever that nobody else can maintain. Leadership asks for an AI update and gets a list of tools instead of a number. The technology is rarely the blocker. The blocker is that nobody redesigned the work around it, nobody trained the people doing that work, and nobody measured whether it made a difference. Software you bought and nobody adopted is worse than software you never bought.
Before we touch a workflow we write down how long it takes, what it costs, and how often it goes wrong. Every claim we make later gets checked against that.
We rebuild the process around what the technology makes possible, rather than bolting a model onto the old steps. Usually that means fewer handoffs, different approval points, and people spending their time somewhere else entirely.
Training for the people who do the work, plus one person on your team who owns it after we're gone. Generic prompt training doesn't survive contact with a real workload.
We report against the before numbers every month. What improved, what didn't, what we're changing next. If a workflow isn't moving, we say so and move the effort.