Repeated
The process happens often enough that improving it would matter.
Focused AI workflow pilot
Turn a repeatable research or operational process into a workflow your team can run, inspect, and improve—without beginning with a promise of full autonomy.
01 / Good fit
The best starting point is not “we need an agent.” It is a process with recognizable inputs, decisions, and outputs that currently consumes meaningful time.
The process happens often enough that improving it would matter.
Some steps require judgment; purely deterministic work may only need ordinary software.
A knowledgeable person can inspect important outputs while the first version proves useful.
We can define where the workflow begins, what it produces, and when it is complete.
02 / The sprint
The implementation may be a skill, runbook, integration, or small internal tool. That decision follows the workflow rather than leading it.
Walk through the current process, inputs, decisions, exceptions, and useful output.
Keep interpretation with the model and put rules that must behave consistently into code.
Implement one bounded workflow with the agreed data sources, tools, and review points.
Demonstrate the workflow, document its operation and limits, and identify the next sensible step.
Included in a typical pilot
Scoped separately
03 / Public evidence
These are open-source projects, not claims of client adoption. They show the workflow, governance, deployment, testing, and documentation work available to inspect.
A deliberate constraint
If conventional software, a script, or a simpler process change is the safer answer, I will recommend that instead. The purpose of the pilot is useful work—not adding an agent for its own sake.