Our method, under the microscope.
The same six phases run every engagement, in the same order, and each one ends at a gate you sign off before the next begins.
We map the workflow with the people who actually run it, find the one constrained seat worth attacking first, and cost the current state in hours and dollars. Nothing gets built until we agree on the number we are trying to move.
We define the future state in detail: what the system handles, where it hands off, and exactly where a person sits in the loop. You see the approval path before a single line of code exists.
We develop the agent, connect it to your systems, and capture documentation as we go rather than after. Three to four of those weeks are the build itself, and that holds only when every piece of data we ask for arrives on the date we ask for it. Inside a larger organization, expect one to two months instead.
We run the system against the baseline with real data and real reviewers. Your team reviews live outputs, we tune against what they flag, and then we make a go or no-go call together.
Training, SOPs, monitoring and a named support owner on our side all ship with the system, because adoption is where most AI projects quietly die.
We measure realized ROI against the original baseline, refine what drifted, absorb model and platform changes, and scope the next adjacent workflow once this one is holding.
You never buy the build before you have the number. The baseline is agreed before the work starts. If a pilot does not beat it, we say so and we do not recommend expanding. And when the ecosystem shifts underneath the build, which it will, we pivot the strategy rather than write off the investment.
B2B manufacturers and the industrial and wholesale distributors alongside them, run by the owner or the C-suite, across the Rust Belt. If that is not you, we will say so on the call rather than after the roadmap.
Rather than from the revenue band.
Every engagement targets administrative and white-collar work. We will use the data a machine produces, but we do not go onto the shop floor, and nothing we sell touches robotics, machine vision or predictive maintenance.
The phase lengths above hold when every piece of data we ask for arrives on the date we ask for it. Inside a larger organization, expect one to two months for the build phase instead of three to four weeks.
AI Implementation Specialists
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The same six phases run every engagement, in the same order, and each one ends at a gate you sign off before the next begins. All six are below, start to finish.
Metrology · STN 03
We map the workflow with the people who actually run it, find the one constrained seat worth attacking first, and cost the current state in hours and dollars. Nothing gets built until we agree on the number we are trying to move.
We define the future state in detail: what the system handles, where it hands off, and exactly where a person sits in the loop. You see the approval path before a single line of code exists.
We develop the agent, connect it to your systems, and capture documentation as we go rather than after. Three to four of those weeks are the build itself, and that holds only when every piece of data we ask for arrives on the date we ask for it. Inside a larger organization, expect one to two months instead.
We run the system against the baseline with real data and real reviewers. Your team reviews live outputs, we tune against what they flag, and then we make a go or no-go call together.
Training, SOPs, monitoring and a named support owner on our side all ship with the system, because adoption is where most AI projects quietly die.
We measure realized ROI against the original baseline, refine what drifted, absorb model and platform changes, and scope the next adjacent workflow once this one is holding.
You never buy the build before you have the number.The baseline is agreed before the work starts. If a pilot does not beat it, we say so and we do not recommend expanding. And when the ecosystem shifts underneath the build, which it will, we pivot the strategy rather than write off the investment.
B2B manufacturers and the industrial and wholesale distributors alongside them, run by the owner or the C-suite, across the Rust Belt. If that is not you, we will say so on the call rather than after the roadmap.
The operation we build for
Rather than from the revenue band.
Every engagement targets administrative and white-collar work. We will use the data a machine produces, but we do not go onto the shop floor, and nothing we sell touches robotics, machine vision or predictive maintenance.
The phase lengths above hold when every piece of data we ask for arrives on the date we ask for it. Inside a larger organization, expect one to two months for the build phase instead of three to four weeks.
Thirty minutes, no charge. You describe the bottleneck, we size the opportunity live against your own numbers, and you leave with the $2,500 roadmap, a pilot range, or an honest no. Nothing is paid before that point.