What are the best AI solutions for a business?
The ones that solve a specific, measurable business problem. Start with high-volume or high-value processes, then choose the right level of technology: automation, assistant, agent, RAG or application.
Which processes should a company automate first with AI?
Repetitive, documented, high-volume tasks whose output is easy to check: triage, extraction, summarisation, reporting and answers to frequent questions.
How do you deploy an AI agent in a company?
Define its scope, its access rights and the steps where a human signs off, then test it on real cases before a gradual rollout, with team training and monitoring.
What is the difference between a chatbot, an AI assistant and an AI agent?
A chatbot answers questions. An AI assistant helps a person produce or analyse in their work. An AI agent chains actions across tools to reach a goal, under human oversight.
What is RAG and when should you use it?
RAG lets AI answer from your own documents and cite its sources. It is useful whenever answers must rely on a reliable, up-to-date internal knowledge base.
How can internal data be used safely with AI?
Identify useful data, classify it by sensitivity, control access rights and choose appropriate hosting. Confidential data should never be exposed in uncontrolled tools.
Can you build a business application or SaaS with AI?
Yes, when the need is recurring and shared by several users or organisations. We start with a prototype tested with users before any full build.
How much does a custom AI solution cost?
Cost depends on scope, data, integrations and the level of support. It is quoted after an assessment, with a prototype to limit risk.
How do you secure an enterprise AI solution?
Through data and access control, human oversight, traceability, testing against misuse such as prompt injection, and team awareness of AI-related cyber threats.
How do you move from an AI prototype to production?
Measure the prototype's results, secure the integration with your tools, document how it works, train the teams and set up monitoring and continuous improvement.