Claude integration and automation

1. 01

   “Long documents need reading, and the detail matters.”

   This is where Claude earns its place. We build the intake, the extraction and the review step, and measure accuracy on your own documents before anybody relies on it.

2. 02

   “The API bill is unpredictable, or larger than expected.”

   Usually the largest model doing work a smaller one handles fine, or whole documents being sent when an extract would do. We size the model to the task and cap every route that calls it.

3. 03

   “An assistant answers from the open web instead of your material.”

   We ground it in your own documents and records, with access rules so it only answers from what that person could already read, and citations so an answer can be checked.

4. 04

   “You need to know what happens to the data you send.”

   We put the account, the keys and the terms in writing before anything is built, including what is retained and what the terms say about training. Where that is not acceptable for the data in question, it rules the approach out.

5. 05

   “A model you built against has been retired or repriced.”

   We keep the model choice changeable rather than welded in, so a provider’s change is a configuration change and not a rebuild.

6. 06

   “Your developers want to use it but nothing is standardised.”

   We set up the shared patterns — prompts in version control, evaluations that catch a regression, and sensible limits — so it is engineering rather than everybody improvising.

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