Category: AI
AI posts from Magnis AI.
Enterprise AI, generative AI, governance, RAG, agents, and automation.
Other categories
AI posts
AI Automation for SMBs: Where to Start When Everything Looks Like It Could Be Automated
If you run an SMB and you keep hearing that AI can automate everything, the question is where to start. Here is a simple framework for picking the first three workflows.
Implementing MAS FEAT in Practice: A Controls Library for Banks
FEAT principles translated into engineering controls. What Fairness, Ethics, Accountability, and Transparency look like inside your CI pipeline, model registry, and audit pack.
EU AI Act: A 12-Month Conformity Readiness Roadmap
High-risk obligations come into force August 2026. A practical roadmap covering Annex III classification, Article 9 to 15 controls, technical documentation, and conformity assessment.
Production RAG: Why Pure-Semantic Retrieval Fails Enterprise Content
Why single-vector RAG underperforms on regulatory, legal, and technical content, and what hybrid retrieval, reranking, and evaluation actually deliver in production.
Hallucination Mitigation in Regulated LLM Applications
Grounding, output validation, multi-step verification, and runtime evaluation. A layered approach to reducing hallucination in enterprise LLM applications, with measurable acceptance criteria.
Building an AI Risk Register that Survives Internal Audit
What fields, classifications, and review cadences regulators expect. A practical template for AI inventories that stand up to MAS, RBI, and EU AI Act scrutiny.
ISO 42001 versus NIST AI RMF: Which One Should You Adopt?
A side-by-side comparison of ISO 42001 (AI management system) and NIST AI RMF (risk framework). Why most organisations need both, and how to harmonise.
Want to talk about ai for your business?
Book a free 30-minute strategy call. We will look at where you are today and outline the next 90 days.