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.
When Should a Local Model Router Escalate or Abstain?
Set escalation and abstention thresholds for local SLMs and private LLMs using held-out evidence and explicit human-review capacity, not self-reported confidence.
Read article
Changing Embedding Models in Private RAG: A Controlled Migration Plan
Plan an on-premises embedding migration with parallel indexes, permission checks, deletion handling, measured cutover, and a usable rollback path.
Read article
Agent Skills vs Tools, Prompts, MCP, and Workflows
Agent Skills define how an agent performs specialised work. See exactly how they differ from prompts, tools, MCP, agents, and orchestrated workflows.
Read article
Why We Built VDF AI: An Intelligence Control Layer for Enterprise AI
Enterprise AI is becoming a network of models, agents, tools, and knowledge. The founder story of why VDF AI became the control layer connecting them.
Read article
AI Agents for Regulated Complaints Handling
Complaints are deadline-bound, evidence-heavy and supervised. That makes them a strong candidate for agent assistance and a poor candidate for automation. How to design the split — and what changed for customer-facing AI in August 2026.
Read article
How to Run a Bake-Off Between Enterprise AI Platforms
Feature lists and demos do not separate enterprise AI platforms. A structured bake-off does — one workload, several vendors, identical evidence requirements. Here is how to design one that produces a defensible decision rather than a preference.
Read article
Why Private RAG Fails on Tables and Spreadsheets
Retrieval pipelines handle prose well and numbers badly. Tables get shredded by chunkers, headers get separated from values, and aggregate questions cannot be answered by retrieval at all. How to design a private RAG pipeline that handles structured data honestly.
Read article
Incident Response for Private AI Agents: A Practical Playbook
AI-agent incidents cross models, retrieval, tools, identities, and business systems. Build a private-AI response plan that can contain and reconstruct them.
Read article
Offline Patch Management for Air-Gapped AI Platforms
Air-gapped AI still needs rapid vulnerability remediation. Build a signed, testable offline patch pipeline across GPU, model-serving, RAG, and agent components.
Read articleNo articles are filed under this topic yet. Try another topic or browse all articles.
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.