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Enterprise AI, explained for builders and buyers. Page 7 of 27

Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.

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237 Articles
39 Topics
12 Featured
An engineer adjusting components inside an illuminated server rack, representing the GPU tiers that decide which Qwen model an enterprise can run on premises
AI Infrastructure 9 min read

Qwen On-Premise: Choosing a Qwen3.5, 3.6 or 3.8 Model by Size Tier

The Qwen family now runs from sub-1B edge models to a 2.4-trillion-parameter flagship, with different licenses at the top end. A tier-by-tier guide to dense versus MoE, coder and vision variants, official FP8 and Int4 builds, long context, tool calling and the GPUs each tier needs.

#Qwen#open-weight models#local LLM
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Inside a desktop PC: a motherboard with an M.2 drive installed beneath a lit Radeon graphics card, representing workstation hardware for running a local LLM
AI Infrastructure 9 min read

How to Run OpenClaw and Hermes Agent on a Local LLM

A practical setup guide for pointing OpenClaw or Hermes Agent at a model on your own hardware: choosing between Ollama, vLLM and llama.cpp, the documented configuration for each harness, Docker isolation, MCP servers, and how to size a tool-calling model to your GPU memory.

#OpenClaw#Hermes Agent#local AI infrastructure
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Three colleagues reviewing work on laptops in an open-plan office, representing relationship managers preparing client briefings with a private AI assistant that respects bank information barriers
Finance AI 6 min read

AI for Relationship Managers: Client Briefings Without Breaching Information Barriers

A relationship manager assistant that pulls client context from every system is an obvious win and an obvious risk. In a bank with private-side functions, the naive design turns the retrieval index into a hole in the information barrier. How to build the assistant so the wall survives it.

#financial services AI#private AI#on-premises AI
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Euro banknotes, a tablet showing a price chart, a calculator and printed financial reports on a desk, representing the capital and operating budget decisions behind on-premises AI infrastructure
Enterprise AI Economics 7 min read

CapEx or OpEx? How Finance Teams Account for On-Premises AI Spend

The same AI programme can land on the balance sheet or in the income statement depending on how it is bought and built. A line-by-line guide to how hardware, licences, internal agent development, fine-tuning and data work are typically classified under IFRS and US GAAP, and where AI creates new judgement calls.

#AI platform TCO#enterprise AI investment#on-premises AI
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Network cables patched into a server rack under green light, representing the on-premises infrastructure where hybrid keyword and vector search run for a private RAG pipeline
RAG 7 min read

Hybrid Search for Private RAG: Why Vector Search Misses Policy Numbers and Part Codes

Vector search is good at meaning and bad at exact strings, and enterprise questions are full of exact strings: policy numbers, part codes, clause references. How hybrid keyword-plus-vector retrieval works in a private RAG pipeline, and how to run it inside your own infrastructure.

#private RAG#RAG#vector search
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Four colleagues reviewing figures together around a laptop in a modern office, representing the credit committee review that an AI-drafted credit memo must support rather than replace
Finance AI 7 min read

AI Agents for Credit Memo Preparation and Risk Summarization

The commercial credit memo is a synthesis job built from a dozen systems, and it consumes the analyst time that should go into judgement. How to build an agent that assembles the evidence and drafts the narrative without ever forming the credit opinion itself.

#enterprise AI agents#financial services AI#workflow automation
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Industrial hardware lit by a single indicator light in a dark facility, representing the on-premises infrastructure that runs event-triggered AI agent workloads
Implementation Guide 7 min read

How to Trigger VDF AI Agents from Enterprise Events

Most enterprise work arrives as an event, not a question: a ticket opens, an invoice posts, a document lands. A practical guide to wiring webhooks, queues and schedules into governed agent runs — with the delivery, identity and backpressure problems handled before they reach production.

#enterprise AI agents#workflow automation#agent orchestration
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Close-up of a circuit board lit by golden light, representing the GPU memory that long-context inference consumes in an on-premises AI data centre
Architecture & Patterns 7 min read

Long-Context Models vs Private RAG: What On-Premises Buyers Should Evaluate

A million-token context window looks like it retires your retrieval pipeline. On-premises, it mostly moves the cost into GPU memory and quietly removes your permission filter. How to decide which work belongs to retrieval and which belongs to context.

#private RAG#on-premises AI#AI infrastructure
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Cabinet of claim folders representing the closed insurance files where unidentified subrogation recovery is lost
Insurance AI 6 min read

AI Agents for Subrogation: Finding Recovery Before the File Closes

Subrogation is lost at intake, not in negotiation. How agents can flag recovery potential, preserve evidence, and build the file — with the pursue decision left to people.

#insurance AI#on-premises AI#workflow automation
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