
Design a Bounded AI Assistant with Tools, Permissions, and Context Limits
A practical method for bounding AI assistants with capability-specific context, tool permissions, approvals, refusals, evidence, and safe release tests.
Practical intelligence for accountable AI programs.
Design bounded assistants and agents with tools, context, permissions, evaluation, and escalation.

A practical method for bounding AI assistants with capability-specific context, tool permissions, approvals, refusals, evidence, and safe release tests.
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Ten topics covering the full life of an AI program, from first use case to retirement.
Connect business needs, capability choices, sequencing, economics, governance, and learning.
AI StrategyFind decision, content, knowledge, prediction, and workflow opportunities grounded in real work.
AI Use-Case DiscoveryRedesign tasks, rules, handoffs, exceptions, approvals, and evidence before automating them.
Workflow AutomationApply language and media systems to drafting, retrieval, service, analysis, and assistance responsibly.
Generative AI For WorkExtract, classify, validate, route, and review information from business documents.
Intelligent Document ProcessingTest usefulness, accuracy, robustness, safety, bias, latency, and cost against real scenarios.
AI EvaluationEstablish ownership, inventory, risk tiers, controls, transparency, review, and incident paths.
Responsible AI GovernancePrepare roles, skills, workflows, incentives, managers, and feedback for responsible use.
AI Adoption And Work RedesignManage versions, prompts, data, access, performance, drift, failures, spend, and retirement.
AI Operations And Monitoring