Insights from the frontlines of AI

Agents aren't the starting point of enterprise AI maturity. They're the result of a trusted, governed knowledge foundation. Here's the architecture and phased rollout that gets you there.

Why enterprise AI breaks without a RAG-first foundation. Build trustworthy retrieval, governance, and traceability before scaling agents and workflows.

Faktion and Argenta announce a strategic partnership to build customer-centric banking with responsible AI agents, evaluation-driven development, and embedded AI capabilities.

How Faktion and Crius use multimodal AI and evaluation-driven development to turn raw author manuscripts into structured, production-ready XML.

Learn why AI initiatives stall and how building the right organisational capabilities helps companies achieve real ROI and competitive advantage with AI.

Faktion and Probis partnered to build Selectivo, an AI-powered recruitment portal for public sector hiring.

Learn why agentic workflow design, not model choice, determines whether AI agents create value.

Discover the key trends from AI Engineer Paris 2025—where AI engineering shifts from model training to reasoning, evaluation, and operational excellence.

Learn how Faktion designs LLM-as-a-Judge evaluator agents that scale expert validation, align human and agent judgement, and build trustworthy AI.

Learn how to transform raw IoT telemetry into actionable insights with our ML pipeline for industrial machinery usage detection. Unlock hidden patterns today.

Five practical truths for turning enterprise AI into scalable business value.

Discover the common failure modes of RAG in enterprises and learn practical fixes to move beyond prototypes into production-ready AI systems.