AI as product layer, support, retention and expansion — not just chatbot.
Analysis on SaaS, AI support, recommendation, digital product, agents in customer workflows and architecture for monetizing intelligence in product.
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AI in support and customer success
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Product, UX and design-to-code
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Retention, expansion and workflow automation
Design an applied-AI SaaS product
Product architecture to turn AI into useful, measurable and sustainable workflow.
Design an applied-AI SaaS productSanity-published content connected to this editorial pillar.
2 published articles
The contest is no longer about polished chatbots. In B2B SaaS, AI agents in support are starting to affect retention, expansion, and operating costs.
The real gain is not AI-generated design, but connecting Figma, agents, and the design system to reduce rework and accelerate delivery.
AI in production
From impressive pilots to systems that survive real operations.
AI in productionLLM integration, RAG and hybrid architecture
Models connected to the business without fragile improvisation.
LLM RAG integrationMLOps, LLMOps and AIOps
Reliability, evaluation and observability for AI that cannot become a black box.
MLOps LLMOps AIOpsAI agents
Useful autonomy without losing control, traceability and cost discipline.
AI agentsAI governance, audit and security
Practical controls for AI that must be explainable, traceable and safe.
AI governanceInfrastructure, FinOps and AI cost
Platforms, latency and cost so AI operates without invoice surprises.
AI infrastructure FinOpsResilient systems for production AI
Architecture, fallback and response when automation fails.
resilient AI systemsHyperlean, ROI and margin with AI
Before scaling, prove where AI changes cost, revenue or predictability.
AI ROI