Designing an AI Operating Model with Clear Decision Rights and Learning Loops
A practical guide to assigning AI standards, funding, delivery, risk and operations, then turning pilot evidence into portfolio and strategy decisions.
Practical intelligence foraccountable AI programs
Independent B2B reporting for the people who have to make AI work inside a real organisation, not just evaluate it.
Latest from ModelFold
Our newest guides, briefs, and decision frameworks.
How to Observe Real Work Before Proposing an AI Use Case
A practical field method for observing real workflows, testing reported bottlenecks and framing evidence-backed AI opportunities without mistaking complaints for proof.
Designing an Intelligent Document Processing Pipeline from Intake to Retention
A practical, technology-neutral guide to designing a traceable IDP pipeline from secure intake and validation through review, delivery and retention.
Redesigning Exceptions, Approvals and Handoffs Before Workflow Automation
A practical guide to mapping real workflow behaviour, testing approvals, defining handoffs and resolving exceptions before automation begins.
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Ten topics covering the full life of an AI program, from first use case to retirement.
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Intelligent Document ProcessingConversational AI and Agents
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AI Operations and MonitoringAbout ModelFold
We help organisations pick AI work that is worth doing, then run it without losing track of who owns what.
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