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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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182 Articles
39 Topics
12 Featured
Open passport with stamped pages representing untrusted regulated documents entering a secure private RAG pipeline
RAG 6 min read

Prompt-Injection Containment for Private RAG Systems

Private RAG can retrieve malicious instructions. Contain prompt injection with provenance, isolation, least privilege, validation, and approval gates.

#private RAG#on-premises AI#AI governance
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Two insurance colleagues reviewing work in a modern office corridor, representing the delegated-authority and reinsurance teams supported by governed on-premises AI agents
Insurance AI 6 min read

AI Agents for Reinsurance Document Analysis: Bordereaux, Treaties, and Claims Cessions

Reinsurance runs on late spreadsheets and unstructured treaty wordings. How governed AI agents can validate bordereaux, read treaty terms, and prepare cessions on-premises.

#insurance AI#reinsurance#bordereaux
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Padlock and keys resting on a computer keyboard, representing controlled data deletion and erasure in a secure private RAG platform
RAG 6 min read

Data Deletion in Private RAG: Retention, Erasure, and Proving a Document Is Gone

Deleting a source document does not remove it from a RAG system. How to design retention and erasure across indexes, caches, logs and derived artifacts — and prove it.

#private RAG#data retention#GDPR
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Close-up of high-density memory modules on computer hardware, illustrating the GPU memory footprint that quantization reduces in on-premises AI infrastructure
AI Infrastructure 6 min read

LLM Quantization for On-Premises AI: Cut GPU Cost Without Quietly Losing Accuracy

Quantization decides how many GPUs an on-premises AI platform needs. A practical guide to FP8, INT8 and 4-bit weight-only formats, and the governance around them.

#local LLM#quantization#GPU capacity
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Server cabinets and overhead network cabling in an enterprise data center used for an egress-controlled on-premises AI platform
AI Infrastructure 5 min read

Egress-Controlled On-Premises AI: Prove It Runs Without Hidden Callouts

On-premises AI can still depend on external licensing, telemetry, model, update, and identity services. Build and test a default-deny egress architecture.

#on-premises AI#egress control#air-gapped AI
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Rows of local server racks in a data center hosting private AI production monitoring and evaluation workloads
AI Operations 5 min read

Production Drift Monitoring for Private AI Systems

Detect input, retrieval, tool, and output-quality drift inside your own boundary with sliced baselines, local telemetry, delayed labels, and response playbooks.

#AI drift monitoring#private AI#on-premises AI
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An engineer monitoring enterprise systems where transaction-safe AI agents need controlled retries, durable operation state, and compensation
AI Agents 5 min read

Transaction-Safe AI Agents: Idempotency, Compensation, and Safe Retries

AI agents that write to enterprise systems need durable operation IDs, idempotent tools, retry classification, reconciliation, and compensating actions.

#AI agent transactions#idempotency#compensating transactions
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Three colleagues reviewing a request together in a modern office, representing the internal service desk workflows that on-premises AI agents support inside the enterprise security boundary
Workflow Automation 8 min read

AI Agents for Internal Service Desks: IT, HR, and Finance Requests

The internal service desk is the most proposed first AI use case and the most often misdesigned. Entitlement-aware answers, guarded write actions, employee-data governance, and metrics that are not deflection.

#workflow automation#enterprise AI agents#on-premises AI
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A padlock resting on a bright surface, representing scanned enterprise documents processed by on-premises OCR and private RAG pipelines that never leave the security boundary
RAG 7 min read

Scanned Documents in Private RAG: On-Premises OCR, Layout, and Tables

Half the corpus that matters in regulated industries is image-only. How to build an on-premises document parsing stage — OCR, layout analysis, table structure, confidence routing, and page-level provenance — that private RAG can actually retrieve from.

#private RAG#on-premises AI#RAG
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