AI Solutions: Agents, RAG at Scale, and the EU AI Act
Production AI in 2024 meant retrieval-augmented generation, vector stores, and governance as the EU AI Act neared finalisation.
Enterprise AI in 2024 moved decisively beyond chat demos. Organisations deployed AI agents and assistants embedded in workflows — support routing, document Q&A, code review assistance, and operational copilots — with clear guardrails and measurable ROI.
RAG at scale
Retrieval-augmented generation (RAG) became the default pattern for grounding models in private knowledge. Teams paired embedding pipelines with vector databases such as Pinecone or pgvector inside PostgreSQL, balancing latency, cost, and data residency. Chunking strategies, citation of sources, and evaluation suites separated pilots from production.
Developer productivity
GitHub Copilot Enterprise and similar tools accelerated routine coding, but organisations still needed architecture review, testing, and security scanning — AI amplified teams; it did not replace delivery discipline.
Governance and the EU AI Act
As the EU AI Act neared finalisation, risk classification, human oversight, documentation, and audit trails moved from legal slides into engineering backlogs. Purpose limitation and data minimisation remained central for GDPR-aligned programmes.
PrequaliQ focuses on AI that attaches to real business processes — with clear metrics, maintainable pipelines, and governance appropriate to your industry.