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Everything Aprex has written, in one place.
The guides below come out of the work Aprex does in practice: how a pilot should be scoped, what drives the price, what has to be in place before AI takes responsibility in operations, and how privacy and security get settled before a project starts.
Last updated: September 21, 2026
- 01
Before you start
Read the pilot and cost guides first if scope is still open. They explain how a scoped pilot is defined, what actually drives the price, and what information Aprex needs to give a concrete assessment instead of a guess.
- 02
When the technology choice comes up
The guides on AI agent versus chatbot, RAG, and Power Automate versus custom cover the decisions that often get made too early. They compare the options on operations, flexibility, and risk, not just on a feature list.
- 03
Before the solution takes responsibility
Privacy, security, and going to production are the three that most often stop a project late. The GDPR, safe AI, and AI in production guides describe what has to be settled before the solution handles real data and real users.
Overview
All guides
Each guide stands on its own. Start with the one closest to the question you have right now.
What should a 2–6 week AI pilot include?
How to scope a pilot with clear workflow, data, risk, measurement, and go/no-go.
Read more →What does an AI pilot cost?
What drives the price, and what to send in for a concrete assessment.
Read more →AI agency for small business: how to choose
Scope, pilot model, references, and data handling to look for in a vendor.
Read more →Privacy and GDPR in AI projects
Controllership, data minimisation, sensitive data, and agreements before kickoff.
Read more →Power Automate vs custom automation
When off-the-shelf suffices, and when building your own pays off.
Read more →What does a business website cost?
What drives business website pricing, and what an assessment needs.
Read more →AI in production for Nordic businesses
What must be in place before AI takes responsibility in operations.
Read more →AI agent vs chatbot: the practical difference
What actually separates an agent from a chatbot in workflows and case handling.
Read more →RAG for businesses: internal AI with your documents
Documents, retrieval, source display, access control, and evaluation in practice.
Read more →AI workflow automation: practical guide
Combining APIs, rules, webhooks, queues, and AI where it creates real value.
Read more →Safe AI in Norwegian businesses
Data boundaries, access, logging, vendor choice, and human control.
Read more →