Our Mission
Help teams turn AI access into work that is measurably better, with named owners and controls that match the real risk.
About ModelFold
We help organisations pick AI work that is worth doing, then run it without losing track of who owns what.
Most AI coverage stops at what a model can do. We start where it gets hard: the process it has to fit, the people who have to trust it, and the controls that keep it accountable once it is live.
- Independent, with commercial ties labelled
- Written for operators, not spectators
- Material claims attributed to sources
What We Stand For
Three commitments shape everything we publish.
What We Offer
Briefs, field guides, decision frameworks, and evaluation methods for planning and running business AI. Commercial pathways are labelled and never shape our conclusions.
Our Approach
We start from a real process or decision, not a model release. We map the handoffs, exceptions, and costs, then follow through to adoption, monitoring, and retirement.
ModelFold Editorial Desk
We report on how AI actually lands inside a business. Our work starts from named sources, separates what we found from what we think, and uses AI assistance for research and drafting under documented editorial controls. We are not a substitute for individual expert review.
- Designing an AI Operating Model with Clear Decision Rights and Learning LoopsA practical method for assigning AI decision rights, choosing mixed operating structures and turning pilot evidence into strategy changes.
- How to Observe Real Work Before Proposing an AI Use CaseA practical field-research method for observing real workflows, testing bottleneck hypotheses and deciding whether AI deserves a controlled trial.
- Designing an Intelligent Document Processing Pipeline from Intake to RetentionA practical, technology-neutral guide to designing traceable document processing from secure intake through review, delivery and retention.
