A consistent point of view on the AI we build: generative AI you can trust, and machine learning that makes decisions.
adBrain writes across its two areas of expertise and where they combine: generative & agentic AI (grounded, governed, yours to run), machine learning & decisioning (predict, decide, prove), and the Compound AI where the two meet. These articles are evidence of how we think, not product pitches. The through-line is AI that actually runs in production, in your environment. See what we can do and the challenges we solve.
Generative AI · 2026-07-04 The gap between a clever demo and generative AI you can deploy is grounding, permissions, and proof. What RAG, attribute-based access control, citations, and audit actually take, and why you should be able to run and change it.
Causal measurement · 2026-06-24 Attribution tells you which touchpoint got the credit. Incrementality tells you what actually changed because of your decision. Why the difference decides where your budget should go.
Adaptive optimisation · 2026-07-01 A/B tests answer one question and stop. Contextual bandits keep choosing, and keep learning. What they are, when to reach for them, and how to run them safely in a live system.
More articles are planned across both practices: enterprise agents, real-time decisioning, and deployment choice. Want to talk through any of these for your own systems? Talk to us
What separates enterprise-grade generative AI from a public chatbot: retrieval grounding, permission-aware answers, citations, and governance you can audit.
Read articleWhat contextual bandits are, when they beat a classic A/B test, and how to deploy them safely in production.
Read articleWhy measuring causal lift, not last-click credit, is the honest basis for AI-driven growth decisions.
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