Questions we get asked about AI automation.

A chatbot answers questions. Older automation, often called RPA, follows fixed steps and breaks when something changes. An AI agent reads messy inputs such as emails and documents, works out what needs to happen next within limits you set, and takes the step in your tools, or hands it to a person when it is not sure.

No. We look at what you already have. Usually the first step is choosing one process and checking that its inputs exist somewhere we can reach. Messy data is common, and if something has to be fixed first, we tell you plainly.

We pick one process, agree how you will judge whether it is working, build an agent that runs inside your tools with your team approving the results, and widen its role only when you are comfortable. How long that takes depends on the process, and we will say so once we have understood it.

Before we build anything, we agree what you will measure, for example time spent, errors caught or items handled. We measure it before and after, and you decide whether the result is good enough.

Most business tools that offer an integration, an API or a data export. Examples we have worked with include Google Workspace, Microsoft 365, Slack, SharePoint, Salesforce, ServiceNow and Monday.com. If yours is not on the list, ask us.

It suits teams with a process that repeats often, follows recognisable rules, and takes real time. It is not for one-off tasks, for processes nobody can describe, or for decisions that must rest entirely on human judgement.

Size matters less than having a process that repeats often enough to be worth automating. Tell us what it is and we will give you an honest view.

Not by default. We begin with your team approving every result. Only when the accuracy has been proven, and only if you choose, does oversight step back, and you can turn it up again at any time.

Mistakes are expected early, which is why people review first. We design agents so that their work can be checked, fix causes rather than symptoms, and keep changes small. We cannot promise it will never be wrong. We can make mistakes visible and cheap to catch.

We design each agent so that its work can be reviewed: what it looked at and what it did. Where an answer draws on documents, it shows which ones.

How your data is handled is set out in the agreement for each engagement. We work with the access you grant, and we are glad to go through the details with you and your security team before anything starts.

Ownership is agreed in writing at the start of each engagement. Please ask us before we begin, so it is clear on both sides.

We build agents to take on repetitive work, so that people spend their time on judgement, relationships and exceptions. Decisions about staffing are yours.

We agree how the agent is monitored and supported before it goes live, so it is clear who watches it and who fixes it.