
How to Start an RPA Managed Services Business: A Step-by-Step Guide
How to launch an RPA managed services business: choosing a niche and platforms, defining services, pricing models, team, contracts and winning the first clients.
The blog
Every guide and explainer on automation, RPA and AI, newest first.

How to launch an RPA managed services business: choosing a niche and platforms, defining services, pricing models, team, contracts and winning the first clients.

Six dos and six don’ts for using generative AI tools like ChatGPT, Claude and Copilot at work, from protecting confidential data to verifying output, plus a…

How artificial intelligence powers Industry 4.0 factories: predictive maintenance, quality inspection, planning, robotics, plus challenges and a practical way to start.

Ten practical ways to automate WhatsApp for your business, from order updates to lead qualification, plus how Meta’s per-message pricing and the October 2026 changes affect…

Rule-based chatbots follow scripts; conversational AI understands free-text questions and context. How they differ in accuracy, cost and risk, and how to choose (or combine) them.

How intelligent document automation (IDP) works: OCR, classification, extraction, validation and review, with use cases, tools, metrics and risks.

How AI detectors work, what independent evidence says about their accuracy and bias, and better ways to assess AI-written text than a percentage score.

What marketing automation does, its main benefits, what to look for and how popular tools such as HubSpot, Mailchimp and ActiveCampaign compare.

Ten everyday tasks you can automate today, from email sorting and meeting notes to data entry and invoices, with step-by-step approaches and tools to try for…

UiPath Clipboard AI copies tables and fields from PDFs, screens and images and pastes them into Excel or forms. How to get it via Autopilot for…

Practical ChatGPT use cases across writing, research, coding, data, learning and business, with prompt tips and limits to watch.

The main branches of AI explained simply: machine learning, deep learning, NLP, computer vision, robotics, expert systems and generative AI, with everyday examples.