Question 1

What is AI workflow automation?

Accepted Answer

It is a normal business workflow, such as processing an invoice or answering a request, where a language model handles the steps that involve reading or writing text. The rest is ordinary automation: triggers, API calls, database writes and approvals. In our builds n8n runs the sequence, the model extracts, classifies or drafts, and a person signs off on anything with consequences.

Question 2

Which tasks are worth automating first?

Accepted Answer

Start with work that is frequent, follows a recognisable pattern and is easy to check. Extracting fields from documents of a known type, sorting a shared inbox and drafting a recurring report are good first candidates. Work that happens a few times a month, or where a wrong answer is costly and hard to spot, usually is not. We help you rank candidates during discovery.

Question 3

Why n8n instead of Zapier or Make?

Accepted Answer

n8n can be self-hosted, so documents and credentials stay on your own servers, and it has built-in nodes for language models, code steps and webhooks. Self-hosting also avoids per-task pricing on high-volume workflows. Zapier or Make can suit small, simple flows that already work for you. n8n uses the fair-code Sustainable Use Licence, which covers internal business use but not reselling n8n as a hosted service, so we check your plans against it.

Question 4

How accurate is AI document extraction?

Accepted Answer

It depends on the documents, so we measure it rather than promise a figure. During the pilot we run the workflow on a set of your real documents with known correct answers and report how many fields came out right. Outputs are validated against a schema and business rules, and anything that fails a check or looks uncertain is sent to a person instead of being written automatically.

Question 5

Can our data stay private?

Accepted Answer

Yes, within the choices you make. n8n can run on your own server or private network. For the model you can use Azure OpenAI in your own Azure subscription, OpenAI's API, or a local model served through LM Studio so text never leaves your infrastructure. We explain the trade-off between local model quality and hosted models for your specific documents.

Question 6

How is an AI automation project priced?

Accepted Answer

A pilot or build is quoted at a fixed price once we have mapped the process and seen sample documents. The price depends on the number of workflows, the systems they connect to and how much review logic is needed. Model usage is billed by the provider to your account. Retainers are a fixed monthly fee based on the workflows we run and the support you need.

Question 7

What happens when a workflow fails or the model gets it wrong?

Accepted Answer

Failures trigger an error workflow that retries where it is safe, records the run and alerts the owner. Wrong answers are caught by schema checks, business rules and the approval step before they reach your systems. Because every run is logged with its input and output, we can trace a bad result, adjust the prompt or rule, and re-run it.

Question 8

Do we need a developer to maintain it afterwards?

Accepted Answer

Not for everyday changes. n8n's visual editor lets a technical member of your team adjust routing rules, recipients or prompts, and we document each workflow. Changes to integrations, hosting or upgrades are easier with a developer, which is what our retainer covers if you do not have one in-house.

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