Designing an AI Operating Model with Clear Decision Rights and Learning Loops
Build an AI operating model that assigns decision rights, balances central control with domain ownership, and turns pilot evidence into strategy.
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.
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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 against real cases before choosing an AI experiment or a simpler operational change.
How to Design an Intelligent Document Processing Pipeline from Intake to Retention
A practical, technology-neutral framework for controlling document intake, extraction, review, delivery and retention through explicit stage contracts.
Redesigning Exceptions, Approvals and Handoffs Before Workflow Automation
A practical method for mapping real workflows, testing controls, defining handoffs and resolving ambiguity 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
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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
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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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