AI for business

AI for business: practical guides, applications and automation

How to choose and integrate artificial intelligence into your business: custom applications, chatbots, voice agents, CRM and automation. These guides explain the data, permissions, outcome checks and operating costs involved, with examples for real business workflows.

AI for business 62

published articles

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Latest published articles

AI Context Window: What It Is and How It Shapes Applications

AI Context Window: What It Is and How It Shapes Applications

Understand AI context windows, document and response budgets, memory, RAG and compaction. Practical diagrams and tests for reliable business applications.

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AI Tokens: What They Are, Costs and Application Limits

AI Tokens: What They Are, Costs and Application Limits

Understand AI tokens, input and output costs, caching, context windows and API limits. Practical calculations, diagrams and controls for business applications.

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What Is an LLM? How Large Language Models Work

What Is an LLM? How Large Language Models Work

What is an LLM and how does it work? Understand tokens, training, context, document retrieval and tools through diagrams and practical business examples.

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AI vs Machine Learning vs Deep Learning: Key Differences

AI vs Machine Learning vs Deep Learning: Key Differences

AI, machine learning and deep learning explained through clear diagrams, business examples and practical criteria for choosing the right approach.

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Types of Artificial Intelligence: A Practical Business Guide

Types of Artificial Intelligence: A Practical Business Guide

Understand machine learning, generative AI, LLMs and AI agents. Clear classifications, diagrams and business examples for choosing an AI application.

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What Does an AI Application Cost? Development and Operations

What Does an AI Application Cost? Development and Operations

Plan an AI application's budget across development, usage, integrations, infrastructure, evaluation, monitoring and maintenance.

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AI Agents for Applications Without APIs: Controlled Automation

AI Agents for Applications Without APIs: Controlled Automation

Automate through application interfaces with a controlled browser, permitted actions, outcome verification, exception handling and approvals.

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Connecting Business Applications to ChatGPT: Data and Access

Connecting Business Applications to ChatGPT: Data and Access

Connect a CRM or catalogue to ChatGPT with MCP tools, authentication, permissions, structured results and controlled actions.

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AI Quotation Configurators for B2B Businesses

AI Quotation Configurators for B2B Businesses

Qualify B2B enquiries with AI-assisted questions, catalogues, compatibility rules, verified pricing and a clear handover to sales.

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AI Document Processing: From PDFs to Verified Data

AI Document Processing: From PDFs to Verified Data

Turn documents into business data through extraction, structured fields, value checks, exception handling and application integration.

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CRM AI Assistants: Useful Features and Controlled Integration

CRM AI Assistants: Useful Features and Controlled Integration

Add an AI assistant to a CRM for search, summaries, tasks and draft messages, with role-based access, approvals and a clear activity history.

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AI Voice Assistants for Bookings and Customer Support

AI Voice Assistants for Bookings and Customer Support

Design an AI voice assistant for conversation, availability checks, confirmations, human handoff and integration with business applications.

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