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 ↗Prepare project evidence and administrative reporting packs with source provenance and researcher review.
Research teams need to synthesize records without overstating what the evidence supports. AI-generated summaries can blur observations, hypotheses and established findings.
Help teams organize the material and make review more efficient while researchers retain interpretive authority.
A project lead selects approved records for an internal progress report.
Draft a progress summary that separates completed work, preliminary observations and open questions, with source references.
The responsible researcher checks interpretation and disclosure suitability before circulation.
Confirm confidentiality, publication status and sponsor restrictions. Do not turn preliminary observations into established claims.
Measure unsupported interpretations, missing provenance, preparation time and corrections needed before circulation.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗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.