Question 1

What is the difference between automation and artificial intelligence?

Accepted Answer

Automation runs defined rules or workflows. AI becomes relevant when you need to process language, classify, extract, recommend or support a decision on less structured data. The two often complement each other.

Question 2

Which processes can be automated in an SMB?

Accepted Answer

Follow-ups, document processing, ERP/CRM sync, reporting, lead qualification, data checks, internal notifications, invoicing or administrative tracking are often strong candidates.

Question 3

How do you avoid automating a bad process?

Accepted Answer

We start by mapping the real process, measuring expected gain, identifying exceptions and clarifying ownership. A poorly framed workflow can move the problem instead of solving it.

Question 4

How do you identify the best AI use cases?

Accepted Answer

A good use case combines enough volume, measurable gain, accessible data and controlled risk. We discard gadget uses and prioritise those that truly cut delays, errors or repetitive work.

Question 5

Can AI connect to our existing tools?

Accepted Answer

Yes. AI can integrate with an ERP, CRM, business tool, document base or workflow via APIs, connectors and governance rules. What matters is controlling access, data used and human validations.

Question 6

How do you measure ROI on automation?

Accepted Answer

ROI is measured on time saved, fewer errors, processing speed, service quality and capacity freed for teams. Each automation must be tied to a concrete indicator before it is built.

Question 7

How do you avoid an AI POC that never reaches production?

Accepted Answer

We start with a use case that has clear volume and ROI, accessible data, and a success criterion before the POC. If the gain is not measurable or data is missing, we do not open the build.

Question 8

What is RAG and when do you need it?

Accepted Answer

RAG connects an LLM to your internal documents or databases so answers use your context, not only generic model memory. It helps whenever you need to answer, summarise or act from business data — with source and access control.

Question 9

How do you limit hallucinations and keep control?

Accepted Answer

Limited data scope, constrained prompts and tools, logging, and human validation on critical actions. AI assists; business rules and humans remain in charge of high-risk decisions.

Question 10

Is AI compatible with GDPR and sensitive data?

Accepted Answer

Yes, if processing, processors, access and purposes are framed. We integrate AI in a governed architecture: data minimisation, controlled hosting, traceability. Healthcare/HDS cases follow stricter constraints.

Question 11

Should we buy a market AI tool or build a custom integration?

Accepted Answer

A SaaS AI tool is enough when the process is standard. Custom integration becomes relevant when AI must live inside your ERP/CRM, business rules and data — otherwise you create another silo.

Améliorer vos processus, automatiser et gagner en efficacité