AI Strategy

Connect business needs, capability choices, sequencing, economics, governance, and learning.

AI StrategyJul 26, 2026
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.

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Ten topics covering the full life of an AI program, from first use case to retirement.

Find decision, content, knowledge, prediction, and workflow opportunities grounded in real work.

Redesign tasks, rules, handoffs, exceptions, approvals, and evidence before automating them.

Apply language and media systems to drafting, retrieval, service, analysis, and assistance responsibly.

Extract, classify, validate, route, and review information from business documents.

Design bounded assistants and agents with tools, context, permissions, evaluation, and escalation.

Test usefulness, accuracy, robustness, safety, bias, latency, and cost against real scenarios.

Establish ownership, inventory, risk tiers, controls, transparency, review, and incident paths.

Prepare roles, skills, workflows, incentives, managers, and feedback for responsible use.

Manage versions, prompts, data, access, performance, drift, failures, spend, and retirement.