New VDF AI Enterprise is now available on AWS Marketplace
Insights · Research · Field Notes

Enterprise AI, explained for builders and buyers.

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

Subscribe via RSS Explore white papers
182 Articles
39 Topics
12 Featured
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 Latest
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
Read article
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
Read article
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
Read article
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
Read article
Laptop on an empty desk representing the AI platform access, agents, and retrieval permissions left behind when an employee leaves
AI Governance 6 min read

When an Employee Leaves: Offboarding People from an Enterprise AI Platform

Revoking SSO does not undo what an AI platform learned. A joiner-mover-leaver checklist for agents, private RAG permissions, memory, shared prompts, and audit trails.

#AI governance#on-premises AI#private RAG
Read article
Terminal output on a monitor representing adversarial testing of an enterprise AI agent before production release
AI Security 6 min read

Red-Teaming an Enterprise AI Agent Before It Reaches Production

An adversarial test is not a benchmark. How to scope, run, and sign off a red-team exercise against an agent's tools, permissions, and retrieval — and what evidence it should leave behind.

#AI security#enterprise AI agents#AI governance
Read article
Yellow and green network cables neatly connected in a data centre rack, representing a structured evaluation suite for Agent Skills
AI Evaluation 5 min read

How to Evaluate Agent Skills: Triggering, Output Quality, and Safety

Build an Agent Skill evaluation suite that separates activation accuracy, task quality, tool-boundary compliance, approvals, and provider compatibility.

#Agent Skills#AI evaluation#agent testing
Read article
Abstract red and blue network lines on a black background, representing controls that keep enterprise Agent Skills governed
AI Governance 5 min read

How to Govern Enterprise Agent Skills

A practical control model for enterprise Agent Skills: ownership, validation, permissions, testing, versioning, approvals, telemetry, and retirement.

#Agent Skills#AI governance#AI safety
Read article
Red and blue light trails from steel wool photography, representing context revealed to an agent in stages
AI Agent Architecture 5 min read

How Progressive Disclosure Keeps Agent Context Focused

See how Agent Skills reveal metadata, instructions, and resources in stages so agents can discover capabilities without flooding the model context.

#Agent Skills#progressive disclosure#context engineering
Read article
Processor on a circuit board representing the local compute that keeps running when an AI agent workflow is cancelled without propagation
AI Infrastructure 6 min read

Stopping AI Agents Safely: Cancellation and Deadlines on Private Infrastructure

Design cancellation across agent branches, local model servers, queues, and tools so stopped workflows release GPU capacity and report their actual state.

#on-premises AI#enterprise AI agents#AI governance
Read article
Stay ahead of enterprise AI

Turn insight into an on-prem AI roadmap.

Pair these articles with a product walkthrough to see how VDF AI handles orchestration, governance, and cost control inside your own infrastructure.

Explore the platform