Designing an AI Operating Model with Clear Decision Rights and Learning Loops
A practical guide to assigning AI decision rights, choosing an operating structure, and turning pilot evidence into portfolio and strategy change.
Practical Intelligence forAccountable AI Programmes
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-research method for testing workflow complaints, locating recurring constraints and deciding whether AI deserves a controlled trial.
Designing an Intelligent Document Processing Pipeline from Intake to Retention
A practical, technology-neutral guide to designing an IDP pipeline with traceable stages, explicit failure routes, useful review and controlled retention.
Redesigning Exceptions, Approvals and Handoffs Before Workflow Automation
A practical method for mapping real workflow behaviour, testing controls, defining handoffs and resolving exceptions before automation begins.
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Ten topics covering the full life of an AI programme, from first use case to retirement.
AI Strategy
AI StrategyAI Use-Case Discovery
AI Use-Case DiscoveryWorkflow Automation
Workflow AutomationGenerative AI for Work
Generative AI for WorkIntelligent Document Processing
Intelligent Document ProcessingConversational AI and Agents
Conversational AI and AgentsAI Evaluation
AI EvaluationResponsible AI Governance
Responsible AI GovernanceAI Adoption and Work Redesign
AI Adoption and Work RedesignAI Operations and Monitoring
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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