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 durable portfolio learning.
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 the Blog
Our newest guides, briefs, and decision frameworks.
How to Observe Real Work Before Proposing an AI Use Case
A practical field method for studying real workflows, testing bottleneck hypotheses and choosing AI only when evidence beats simpler alternatives.
How to Design an Intelligent Document Processing Pipeline from Intake to Retention
A practical, vendor-neutral framework for designing traceable document processing from secure intake and validation to review, delivery and retention.
Redesign Exceptions, Approvals and Handoffs Before Workflow Automation
A practical method to map real workflow behaviour, test approvals, define accepted handoffs and redesign exceptions before automating.
Nothing here yet. Browse the categories while we publish more.
Explore by Category
Ten topics covering the full life of an AI program, 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.
About ModelFold