Designing an AI Operating Model with Clear Decision Rights and Learning Loops
A practical guide to assigning AI standards, funding, delivery, risk and operations, then turning pilot evidence into portfolio and strategy decisions.
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Independent B2B reporting on putting AI to work: picking use cases worth doing, redesigning the work around them, and running them under real governance.
How to Observe Real Work Before Proposing an AI Use Case
A practical field method for observing real workflows, testing reported bottlenecks and framing evidence-backed AI opportunities without mistaking complaints for proof.
Designing an Intelligent Document Processing Pipeline from Intake to Retention
A practical, technology-neutral guide to designing a traceable IDP pipeline from secure intake and validation through review, delivery and retention.
Redesigning Exceptions, Approvals and Handoffs Before Workflow Automation
A practical guide to mapping real workflow behaviour, testing approvals, defining handoffs and resolving exceptions before automation begins.
How to Design a Source-Grounded Generative AI Drafting Workflow
Build a controlled AI drafting workflow that keeps approved evidence, generated prose, review decisions and consequential edits distinct and traceable.
Building a Scenario-Based Evaluation Set for a Business AI System
A practical guide to building reproducible AI evaluation scenarios for everyday work, difficult boundaries, known failures and prohibited behaviour.
How to Design a Bounded AI Assistant with Tools, Permissions and Context Limits
A practical method for setting capability-level information limits, tool permissions, approvals, refusals, evidence and release tests for AI assistants.
Redesign Roles by Tasks When Introducing AI Assistance
A practical Australian guide to mapping tasks, testing AI assistance, tracking hidden effort and redesigning roles only after a measured pilot.
Version Prompts, Models and Workflow Logic as One AI Release
Bind prompts, models, tools and workflow logic into one testable AI release, then promote and restore the same known configuration safely.
Build an AI Inventory and Risk-Tiering Method Teams Can Maintain
Build a maintainable AI-use inventory, rate exposure across four clear dimensions, and route each use to proportionate review as its context changes.
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Ten topics covering the full life of an AI program, from first use case to retirement.