This page covers AI automation for business as a whole: connecting your CRM, inbox, documents and internal services into workflows that run without a person copying data between tabs. If you found this page searching for "AI and business automation", this is the right starting point — the five workflow examples above (routing, documents, reports, bookings, a custom recurring process) are the concrete shapes that automation usually takes.
A separate page, AI for business, is a catalogue of all fifteen AI directions we build — chatbots, agents, analytics, content, and this automation layer among them. Use that page when you are still deciding which direction fits your task; use this one once you already know the task is "connect systems and remove a manual step".
Automation and an AI agent solve different problems and are often combined. Automation moves data and triggers actions along fixed rules; an AI agent holds a conversation and decides what to say next. A CRM workflow that files a lead automatically is automation; a bot that qualifies that lead in a chat first is an agent. Many projects need both, in that order.
A practical way to scope your first project: write down one workflow exactly as it happens today, step by step, including who does each step and which system they open. Mark the steps that are pure data movement (copy, file, notify) versus the steps that need judgment (decide, reply, prioritize). The first group is what this automation page builds; the second is closer to an agent's job. Most businesses starting AI and business automation for the first time pick a workflow that runs at least weekly, has a clear owner, and fails loudly enough today that everyone already agrees it needs fixing — that combination makes the pilot easy to validate and easy to expand later.
Reference points from the five workflows above: request routing usually lands around from $200, a document flow around after scoping, and a reporting dashboard around after scoping. These are starting references, not a quote — the exact number depends on how many systems the workflow touches and how much of the logic needs a bounded AI step rather than a fixed rule.