Your team owns the build.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Help teams organize the material and make review more efficient while researchers retain interpretive authority.
Which outputs are verified? Who approves disclosure? What material must remain restricted or unpublished?
Confirm confidentiality, publication status and sponsor restrictions. Do not turn preliminary observations into established claims.
We use these answers to agree on integration boundaries, responsible reviewers, access controls and a definition of done. The proposal identifies dependencies and what is included before implementation begins.
Pilot one internal reporting cycle using approved source material and compare the draft with researcher-reviewed conclusions.
Measure unsupported interpretations, missing provenance, preparation time and corrections needed before circulation.
Store the accepted report with its evidence references and unresolved review items.
Document the owner, support path and recovery procedure. Define how the workflow behaves when information is incomplete, access fails or a reviewer declines the proposed result. Agree on what needs fresh validation after a model or integration change.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.