AI agents

AI agents for engineering and architecture practices

The work that repeats every day, done ahead of you and handed over ready to approve.

Why an engineering practice gains from an agent

In an SME in this field, much of the day goes on tasks that repeat: reading, sorting, digging for history and writing again what has been written before. An AI agent does that part and hands it over prepared. It does not replace the tools an engineering practice already uses — it works inside them.

AI agents

What an agent actually does

These are tasks that repeat every single day in an engineering practice:

  1. Gather information scattered across mail and project folders
  2. Prepare commercial proposals from past work
  3. Find what was already done on similar projects
  4. Track queries and what is still unanswered
  5. Summarise the state of each project at day's end

In every one of them the agent prepares and a person approves. That boundary is what makes it reliable.

It connects to what you already use

No need to change tools. The agent works over the systems you already have, with the permissions that already exist:

Microsoft 365 (mail and calendar)
SharePoint and OneDrive
Teams
Project management software

And time lost searching?

The information does not move. The agent works over the folders and mailboxes where it already lives, with the permissions that already exist.

What this looks like in practice

We have a real case in this sector, anonymised at the client's request, with the agents that were implemented and how confidentiality was handled.

Read the case
FAQs

Frequently asked questions

It works best when you start with a single process. You do not need to be a large company — you need one task that repeats every day and costs someone time.

No. The agent connects to what you already have — Microsoft 365 (mail and calendar), SharePoint and OneDrive, Teams — and works inside it.

No, and that is deliberate. The agent drafts the reply; your team sends it. That is the difference between a tool you can trust and one that some day says something foolish in your name.

Beyond implementation there is a monthly usage cost that almost nobody mentions up front. We estimate it per use case before starting, so you know what you will pay every month.

The information does not move. The agent works over the folders and mailboxes where it already lives, with the permissions that already exist. If the assessment says it does not pay off, we say so.

Start with one process, not a revolution

Pick the task that repeats most in your day. We measure what it costs today and tell you frankly whether automating it pays off.

How we implement

The method, the connectors, what it costs to run and when our answer is that it does not pay off — it is all on the main AI agents page.

See AI agents for business
  • Over 25 years of IT experience
  • The agent prepares, the approval is always yours
  • The agent respects the permissions you already have in place
  • Connects to the systems you already use
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