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Insights & Resources

Enterprise AI knowledge. From a team who ships it.

Guides, case studies, original research, and practical frameworks. Built from real enterprise AI engagements.

11 results

The Enterprise AI Stack in 2026: The Reference Architecture

The enterprise AI technology stack has matured dramatically. Multi-model orchestration, agentic workflows, knowledge graphs, and governance-as-code - here's the reference architecture for 2026.

·5 Feb 2026·15 min read

enterprise-aitechnicalai-foundationemerging-tech

What Is Computer Use AI?

AI that can see screens, click buttons, and operate software - just like a human user. Here's what computer use means for enterprise and where it fits in the stack.

enterprise-aitechnicaltechnology-trends+1

John Li10 Aug 2025·6 min

ArticleHighlight

The Multi-Model Enterprise: Why One AI Vendor Isn't Enough

Smart enterprises don't bet on a single AI model. They build orchestration layers that select the right model for each task - and protect against vendor lock-in.

enterprise-aitechnicalstrategy+1

Mak Khan +15 Jul 2025·9 min

What Is Multimodal AI? A Guide for Enterprise Leaders

Multimodal AI processes text, images, audio, and video together. Here's what it means for enterprise - and where it delivers real value.

enterprise-aitechnicaltechnology-trends+1

Mak Khan18 Feb 2025·5 min

AI Model Integration Patterns: How Enterprises Connect to AI

APIs, SDKs, orchestration layers - the emerging patterns for how enterprises connect to and manage AI models. A practical guide to the integration layer that determines whether AI scales.

enterprise-aitechnicaltechnology-trends+1

John Li20 Nov 2024·5 min

From RAG to Knowledge Graphs: The Evolution of Enterprise Knowledge Systems

RAG was step one. Knowledge graphs add structure, relationships, and reasoning. The evolution of how enterprises organise knowledge for AI.

enterprise-aitechnical

Mak Khan +12 Sept 2024·7 min

Enterprise AI Observability: What to Monitor, How to Alert, When to Intervene

Your AI system is a black box in production. Here's the observability stack that turns it transparent - what to measure, what to alert on, and when a human needs to step in.

enterprise-aitechnical

John Li2 Aug 2024·9 min

The Model Doesn't Matter as Much as You Think

GPT-4, Claude 3, Gemini - everyone's debating which model is best. Meanwhile, the infrastructure around the model determines 80% of the outcome.

enterprise-aitechnical

Mak Khan8 Jun 2024·7 min

What Is Agentic AI? The Next Enterprise Capability

Agentic AI doesn't just answer questions - it takes actions, makes decisions, and orchestrates workflows. Here's what that means for enterprise.

enterprise-aitechnology-trendstechnical+1

Mak Khan5 Jun 2024·5 min

ArticleHighlight

The AI Infrastructure Nobody Talks About

Behind every working AI system: vector databases, caching layers, model routing, observability. The unsexy infrastructure that determines whether AI works in production.

enterprise-aitechnical

John Li25 Mar 2024·8 min

Responsible AI Is Just Good Engineering

Responsible AI isn't an ethics committee or a compliance box. It's engineering discipline applied to a new category of system.

enterprise-aicompliancetechnical+1

Dr Tania Wolfgramm +122 Mar 2024·7 min