AFRIPA COLLECTION / 02
Source-aware agent systems with operating boundaries, review loops, and accountable handovers.
Published guides in this collection
8 min read
Why approved source packs, retrieval rules, and review gates matter before an assistant is placed in a business workflow.
Begin with a source-and-review rule, not a generic chatbot.8 min read
A practical framework for converting an open-ended AI ambition into a bounded, reviewable business task.
Frame one bounded task before selecting models or tools.8 min read
How to create an evaluation route that compares outputs with approved sources, edge cases, and human judgement.
Design an evaluation route before scaling an AI pilot.8 min read
A readiness guide for building a source-aware, reviewable agentic system without claiming full autonomy.
Use the readiness brief to select a credible first agentic workflow.7 min read
AI Readiness Begins With Sources, Not Models presents a source-led operational approach grounded in AI_AGENT_SERVICE_PAGE.md, with a visible mechanism, review boundary, and next decision.
Prepare the approved source pack and review rule for one bounded AI task.7 min read
Every Agentic Workflow Needs a Human Owner presents a source-led operational approach grounded in AI_AGENT_SERVICE_PAGE.md, with a visible mechanism, review boundary, and next decision.
Name the owner, review gate, and handoff for the first agentic workflow.7 min read
Agentic Systems Need an Evaluation Loop presents a source-led operational approach grounded in AI_AGENTS_FOR_BUSINESS_PUBLIC_KB.md, with a visible mechanism, review boundary, and next decision.
Create a small evaluation set before widening an AI workflow.8 min read
A practical way to select a small, reviewed AI task that supports real work without making unchecked autonomy claims.
Choose one repeated task with clear inputs, rules, and an accountable owner.9 min read
A source-aware way to define the business task, approved information, review gate, owner, and handoff before choosing an AI tool.
Frame one useful AI task before comparing tools.9 min read
How to make an AI-supported workflow legible by deciding what a person owns, what a system prepares, and where a review must occur.
Design the handoff before widening an agentic workflow.9 min read
A practical method for testing AI-assisted work against approved sources, ordinary cases, edge cases, and human review before expanding use.
Create a small evaluation set before calling an AI pilot ready to scale.CONNECTED DELIVERY PRINCIPLE
Useful digital work connects a real business question, trusted source material, a clear page or workflow, a review point where the decision matters, and a practical next action.
↗Defined source rules
↗Human review points
↗Useful operating patterns