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AI, business and practical implementation.

Guides, practical frameworks and our editorial archive. New guides appear by publication date; archive articles are ordered by relevance to our services.

163 articles

AI Knowledge Systems

RAG and Company Knowledge: Helping an AI Assistant Find Reliable Answers

An AI company-knowledge system should answer from the right documents, for the right user, in a way that can be checked. Adding search to a folder is insufficient. Source selection, content…

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AI Agents

AI Agents in Customer Service: Scope, Sources and Human Handoffs

A customer-service AI agent is useful when it helps customers complete a defined process and helps the team handle exceptions. A polite conversation is only part of the job. Reliable…

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Prompt Engineering

Prompt Engineering: Designing Professional Prompts You Can Evaluate

Professional prompt engineering begins when a team needs repeatable work rather than a single impressive answer. One successful conversation does not demonstrate that a template will work with…

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AI Automation

AI Automation for CRM and Leads: A Workflow That Keeps Enquiries on Track

A lead can be lost even when the contact form works. An enquiry reaches a shared inbox, gets forwarded, is copied into the CRM and waits for a response because ownership is unclear. Useful…

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AI Consulting

AI Consulting for Businesses: From a Real Need to an Actionable Plan

A business does not need to begin its AI journey by choosing a platform. It first needs to identify a task worth changing and understand how improvement will be recognised. AI consulting…

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AI Consulting

Your first AI project should be small. And specific.

The best starting point is a task you can describe, review and measure.

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Prompt Engineering

A good prompt is a clear brief.

Define the task, data, constraints and output format before asking AI to get to work.

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AI Agents

A useful AI agent knows when to stop.

A clear purpose, reliable sources and defined limits make an assistant more useful in practice.

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Prompt Engineering

AI automation that holds up in practice: process before prompts

An AI tool can make a poor process faster and a good workflow more consistent

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AI Knowledge Systems

Knowledge bases for AI assistants: quality begins before the model

An AI assistant cannot answer consistently when internal knowledge is contradictory, outdated or scattered across files without owners

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AI Consulting

How to test an AI tool before buying it

An AI demonstration usually shows a tool at its best

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AI Automation

Evaluation sets for AI workflows: measuring improvements and regressions

An AI workflow may appear better after a prompt or model change because the team tested only easy examples

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