Designing an AI Operating Model with Clear Decision Rights and Learning Loops
Build an operating model by assigning decision rights, evidence, escalation, and review across standards, funding, delivery, risk, operations, and reuse.
Practical intelligence foraccountable AI programs.
Independent B2B reporting for the people who have to make AI work inside a real organization, 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-research method for verifying workflow pain, locating recurring constraints, and deciding whether AI or a simpler change merits a test.
Design an Intelligent Document Processing Pipeline from Intake to Retention
Build a traceable IDP pipeline with clear stage contracts for intake, extraction, validation, human review, delivery, retention, recovery, and control.
Redesigning Exceptions, Approvals, and Handoffs Before Workflow Automation
Practical guide to mapping real workflows, redesigning exceptions, testing approvals, defining handoffs, and deciding when automation is ready to deploy.
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Explore by Category
Ten topics covering the full life of an AI program, from first use case to retirement.
AI Strategy
Connect business needs, capability choices, sequencing, economics, governance, and learning.
AI StrategyAI Use-Case Discovery
Find decision, content, knowledge, prediction, and workflow opportunities grounded in real work.
AI Use-Case DiscoveryWorkflow Automation
Redesign tasks, rules, handoffs, exceptions, approvals, and evidence before automating them.
Workflow AutomationGenerative AI For Work
Apply language and media systems to drafting, retrieval, service, analysis, and assistance responsibly.
Generative AI For WorkIntelligent Document Processing
Extract, classify, validate, route, and review information from business documents.
Intelligent Document ProcessingConversational AI And Agents
Design bounded assistants and agents with tools, context, permissions, evaluation, and escalation.
Conversational AI And AgentsAI Evaluation
Test usefulness, accuracy, robustness, safety, bias, latency, and cost against real scenarios.
AI EvaluationResponsible AI Governance
Establish ownership, inventory, risk tiers, controls, transparency, review, and incident paths.
Responsible AI GovernanceAI Adoption And Work Redesign
Prepare roles, skills, workflows, incentives, managers, and feedback for responsible use.
AI Adoption And Work RedesignAI Operations And Monitoring
Manage versions, prompts, data, access, performance, drift, failures, spend, and retirement.
AI Operations And MonitoringAbout ModelFold
We help organizations pick AI work that is worth doing, then run it without losing track of who owns what.
About ModelFold