Designing an AI Operating Model with Clear Decision Rights and Learning Loops
A practical guide to assigning AI decision rights, balancing central and business-unit authority, and turning pilot evidence into strategy changes.
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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-research method for testing workflow complaints, locating recurring constraints and deciding whether AI deserves a controlled trial.
Designing an Intelligent Document Processing Pipeline from Intake to Retention
A practical, technology-neutral guide to controlling documents from secure intake and extraction through human review, acknowledged delivery and retention.
Redesigning Exceptions, Approvals and Handoffs Before Workflow Automation
A practical South African guide to mapping real workflow behaviour, testing approvals, defining handoffs and resolving exceptions before automation.
Design a Source-Grounded Generative AI Drafting Workflow
Build a controlled generative AI drafting workflow that keeps approved evidence, generated prose, review decisions and material edits traceable.
Building a Scenario-Based Evaluation Set for a Business AI System
A practical method for building reproducible AI evaluation scenarios that cover routine work, difficult boundaries, known failures and prohibited behaviour.
Design a Bounded AI Assistant with Tools, Permissions and Context Limits
A practical method for defining an AI assistant’s information boundaries, tool permissions, approvals, refusals and accountable escalation paths.
Redesigning Roles by Task When Introducing AI Assistance
A practical South African guide to mapping tasks, testing AI assistance, tracing hidden effort and redesigning roles 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 complete, known-good configuration.
Build an AI Inventory and Risk-Tiering Method Teams Can Maintain
Build a maintainable AI inventory, rate inherent 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 programme, from first use case to retirement.