GUIDES / AI SYSTEMS
AI systems: the model does the work, a person checks it.
An AI system is software in which a language model does the central task, such as sorting requests or reading documents, and a person reviews the output. These guides cover how to scope, test and keep one running.
WHAT THESE GUIDES COVER
AI system or automation with an AI step: one test separates them.
Take the model out and see what is left. If the process still works, it is an automation that uses AI in one step, and the automation guides cover it. If nothing useful is left, the model is doing the work, and the design has to plan for wrong answers: who reviews the output, what gets escalated and how quality is checked on real cases.
The guides are for owners and operations leads who have seen demos and want to know what holds up in daily work, without a data-science team in-house. They start from the task, and the choice of model comes after it.
- Where a model is the right tool and where fixed rules are enough
- Review steps, escalation and what happens when the output is wrong
- Agents with a narrow task and a person reviewing their work
CATEGORIES
Two areas of the AI guides.
AI system design
How a whole AI system is put together: inputs, output format, review step, tests on real cases and the link to tools already in use.
AI agents
Agents for one recurring task, such as research, sorting or data extraction, each with a defined scope and a person who approves the result.
GUIDES
AI questions the guides answer.
How to Sequence an AI Operations Rollout
A four-phase sequence for rolling out AI in business operations: audit, one complete automation, integration, then learning on top of what works.
Multi-Agent Systems for Business
Practical guide to multi-agent AI systems for business: four architecture patterns, worked examples, failure modes and when several agents are worth it.
How to Scope an AI Agent
Framework for evaluating which business tasks are suitable for AI agents and which require human judgment.
FREQUENTLY ASKED
Questions about AI systems.
Which tasks suit an AI system?
How do you know an AI system is working?
Why does an AI prototype work in a demo and fail on real input?
Does an AI system replace the person doing the task?
SERVICES
When a task is ready to build.
AI systems
AI inside daily work, with a review step and a plan for wrong answers, quoted by the hours it saves each month and delivered under a licence of use.
AI agents
An agent for one recurring task, working inside set limits, with a person approving what it produces.
Consulting by the hour
A paid session on whether a task calls for AI, a tool you already have or no change at all.