Frequently asked questions - enterprise AI
What is enterprise AI, and how is it different from generic AI tools?
Enterprise AI is connected to your data, core systems and permissions, runs under security and control, and produces decisions and automation inside real processes - unlike a generic AI tool that has no knowledge of your organizational context.
How fast do you see business value from AI?
A focused pilot on a single use-case shows value within weeks. We start with the case that has the clearest ROI before scaling across the organization.
What does an AI project look like, from analysis to production?
Business requirements analysis, architecture design, a focused POC, development and implementation into existing systems, and finally monitoring, ROI measurement and ongoing support.
Can AI be added to existing systems without replacing infrastructure?
Yes. We integrate models, a tailored LLM and automation through APIs and integration layers, without replacing your existing systems.
What is the advantage of an enterprise LLM over regular ChatGPT?
An enterprise LLM gives full control over data, security, fine-tuning and organizational-knowledge adaptation - without exposing information to external companies.
How does RAG work in an organization with permissions?
RAG retrieves information only from sources the user is authorized to see, following the same permissions as your existing systems, with a full audit trail and sources for every answer.
What are AI Agents, and what do they actually do?
Agents that perform real actions - updating data, opening tickets, scheduling and acting across systems - not only answering questions.
How do you ensure data security and compliance in AI?
Encryption, permission management, Zero-Trust, logging, monitoring and GDPR compliance, with AI mechanisms that detect anomalies in real time.