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Kodex Journal

Guides, processes, and judgment for shipping AI and technology to production — with the rigor leadership and risk require.

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Featured

KodexLAB

Vault: KodexLAB starter kit (gated)

A gated starter kit for entering KodexLAB with community access, boards, and baseline artifacts when the goal is structured learning instead of isolated demos.

September 21, 2026Read →

Process

Vault: industrial client briefing pack

A discovery pack to structure the initial briefing, technical context, constraints, and expected success before falling into generic industrial proposals.

September 20, 2026Read →

RAG

Vault: quality sampling scripts

A set of scripts to sample answers, sources, and recurrent failures when quality is better evaluated with lightweight discipline than occasional intuition.

September 19, 2026Read →

All articles

Guides, processes, and judgment for shipping AI and technology to production — with the rigor leadership and risk require.

KodexLAB

Vault: KodexLAB starter kit (gated)

A gated starter kit for entering KodexLAB with community access, boards, and baseline artifacts when the goal is structured learning instead of isolated demos.

September 21, 2026Read →

Process

Vault: industrial client briefing pack

A discovery pack to structure the initial briefing, technical context, constraints, and expected success before falling into generic industrial proposals.

September 20, 2026Read →

RAG

Vault: quality sampling scripts

A set of scripts to sample answers, sources, and recurrent failures when quality is better evaluated with lightweight discipline than occasional intuition.

September 19, 2026Read →

Private Equity

Vault: knowledge/community KPI dashboard

A KPI sheet to track adoption, contribution, reuse, and freshness of knowledge when internal communities promise a lot but measure very little.

September 18, 2026Read →

Legal

Vault: minimum retention policy

A one-page policy to define minimum retention, deletion, and periodic review criteria when teams generate more data than they actually govern.

September 17, 2026Read →

RAG

Vault: examples of good/bad citations

An annotated set of useful, weak, and misleading citations to teach teams and models what counts as acceptable evidence in RAG answers.

September 16, 2026Read →

Services

Vault: common ERP connector map

A connector map to frame common ERP integrations, data types, typical dependencies, and the key questions to ask before promising an easy sync.

September 15, 2026Read →

Services

Vault: RAG support ticket templates

A set of ticket templates to capture failure mode, affected corpus, symptom, traces, and expectation when RAG support cannot rely on loose screenshots.

September 14, 2026Read →

Process

Vault: multi-plant technical glossary

A CSV glossary to unify naming for equipment, failures, states, and units when multiple plants describe the same thing in incompatible ways.

September 13, 2026Read →

Compliance

Vault: AI governance RACI

A RACI sheet to organize ownership of prompts, sources, access, validation, and incident response once AI is no longer an isolated experiment.

September 12, 2026Read →

Fintech

Vault: fraud signals + thresholds

An operating table of signals, combinations, and thresholds to review conversational or transactional fraud without relying only on intuition or scattered rules.

September 11, 2026Read →

Private Equity

Vault: DD questions for the data room

A question bank for operational and technology due diligence when the data room looks complete but still hides dependency, debt, or real fragility.

September 10, 2026Read →

Aerospace

Vault: FAI / NCR checklist

A set of forms and checklists to structure FAI, nonconformities, and evidence capture before a deviation turns into an endless discussion.

September 9, 2026Read →

Legal

Vault: data clause templates

A vault of baseline clauses for ownership, access, retention, third-party use, and data exit in automation, AI, or document-heavy projects.

September 8, 2026Read →

RAG

Vault: metadata schemas for RAG

A set of JSON schemas to normalize document type, effective date, owner, sensitivity, validity, and other keys that make RAG retrieval behave with judgment.

September 7, 2026Read →

Process

Vault: 12 industrial ops prompts

An execution-oriented vault with 12 ready-to-use prompts for briefings, incidents, shift handoffs, and technical escalation without starting from a blank page.

September 6, 2026Read →

Methodology

Playbook: sovereign go-live (checklist)

An operating checklist to prepare a sovereign go-live with data, access, observability, and support resolved before the first real use.

September 5, 2026Read →

RAG

Playbook: QA for cited answers

A guide to evaluate cited answers consistently, detect polished but weak citations, and turn QA into an operating criterion.

September 4, 2026Read →

Private Equity

Playbook: portfolio ops with knowledge

How to bring knowledge practices into the portfolio so operational improvement does not depend on local heroes or endless calls between companies.

September 3, 2026Read →

Legal

Playbook: document incident response

An ordered document response for incidents where speed matters, but the chain of evidence matters even more.

September 2, 2026Read →

Services

Playbook: closing the ERP↔CRM gap

How to close ERP and CRM gaps without starting an endless integration program or asking the commercial team to compensate manually forever.

September 1, 2026Read →

RAG

Playbook: RAG source audit

A playbook to review whether the sources feeding RAG are still citable, current, and useful for real work.

August 31, 2026Read →

Process

Playbook: plant onboarding to IoT

How to bring a plant into an IoT program without disrupting operations, overloading maintenance, or deploying sensors nobody will use later.

August 30, 2026Read →

LLM

Playbook: prompt red team

A practical sequence to stress prompts, instructions, and guardrails before a flow moves from experiment to real usage.

August 29, 2026Read →

Services

Playbook: AI vendor evaluation

How to evaluate an AI vendor with questions that separate marketing, real delivery capability, and dependency risk.

August 28, 2026Read →

Process

Playbook: shift-change briefing

A guide to turn shift change into a useful, short, and verifiable handoff instead of a routine that depends on the most experienced operator.

August 27, 2026Read →

Compliance

Playbook: governance for document access

How to define document access in knowledge systems without falling into the false shortcut of 'open everything and fix it later'.

August 26, 2026Read →

LLM

Playbook: migrate from generic chat to RAG

An operating guide for moving from a pleasant but opaque chatbot to a RAG layer with sources, permissions, and more reliable behavior.

August 25, 2026Read →

Fintech

Playbook: fraud detection with a private LLM

A review sequence for using a private LLM to support fraud detection without exposing sensitive data or automating decisions without control.

August 24, 2026Read →

Private Equity

Playbook: DD data room for PE

How to structure a digital diligence data room so partners find signal quickly and management does not drown the transaction in loose files.

August 23, 2026Read →

Aerospace

Playbook: technical tolerance in quality

A playbook to handle quality deviations with technical judgment, traceable evidence, and the right escalation before urgency pushes a bad release.

August 22, 2026Read →

Legal

Playbook: contract history with citations

How to build a contract query flow that answers with verifiable citations, correct versions, and no dangerous shortcuts around sensitive obligations.

August 21, 2026Read →

Process

Playbook: predictive maintenance with IoT + RAG

An operating sequence to connect IoT signals, technical context, and human review without selling predictive magic the plant cannot sustain.

August 20, 2026Read →

RAG

Playbook: first RAG pilot in 30 days

A playbook to turn the vague idea of 'trying RAG' into a pilot with scope, owners, corpus, and a decision rule in four weeks.

August 19, 2026Read →

Methodology

RAG backlog priority model

A MoSCoW-based model to prioritize a RAG backlog by risk, citation quality, operational impact, and integration dependency.

August 18, 2026Read →

Compliance

Audit-ready evidence framework

A framework to organize operational, technical, and control evidence so an audit does not depend on last-minute proof collection.

August 17, 2026Read →

Services

ERP-to-AI integration matrix

A matrix to decide which ERP and AI integrations deserve direct connection, an intermediary layer, or simply controlled read access.

August 16, 2026Read →

Process

Shift-change framework for plant operations

A hand-off checklist to capture incidents, pending decisions, and line context without relying on last-minute calls.

August 15, 2026Read →

Private Equity

PE portfolio readiness model

A model to compare portfolio companies by their real ability to absorb AI, automation, and operating improvement without burning out the team.

August 14, 2026Read →

Fintech

Conversational fraud score

A practical score to organize linguistic, contextual, and transactional signals when an interaction looks legitimate but still does not add up.

August 13, 2026Read →

Services

Single source of truth framework

A framework to define ownership and stop multiple systems from competing over the correct version of a client, order, document, or asset.

August 12, 2026Read →

LLM

Prompt governance model

A minimum policy to treat prompts, system instructions, and templates as operating assets rather than improvised text.

August 11, 2026Read →

Process

ROI matrix for sensors plus knowledge

A matrix to prioritize cases where sensor signals gain the most value when combined with manuals, SOPs, and technical history.

August 10, 2026Read →

Legal

Document onboarding framework

An ingestion flow to structure intake, classification, review, and traceability of documents before connecting them to search or AI.

August 9, 2026Read →

Automations

Secure automation pyramid

A layered model for lower-risk automation: visibility first, then control, then execution, and only later broader autonomy.

August 8, 2026Read →

RAG

Citable sources model for operations

A rubric to decide which documents, systems, and events should feed operational answers and which ones should stay out.

August 7, 2026Read →

Private Equity

Digital due diligence in four layers

A four-layer framework to read real digital maturity in a portfolio company without confusing purchased software with operating capability.

August 6, 2026Read →

Aerospace

Technical tolerance framework for aerospace

A framework to classify technical deviations and decide whether they escalate to FAI, document review, or operational containment in aerospace contexts.

August 5, 2026Read →

LLM

Decision tree: private LLM vs SaaS

A clear decision tree to choose between a private LLM, SaaS, or a mixed setup based on sensitivity, latency, and governance load.

August 4, 2026Read →

Compliance

Data sovereignty scorecard

A scorecard to assess whether your AI and data stack retains real control over location, access, training exposure, and evidence of use.

August 3, 2026Read →

Process

When DIY vs DFY makes sense in industrial data

A practical framework to decide what to build in-house, what to delegate, and what should not start yet in a plant or industrial network.

August 2, 2026Read →

RAG

5-level RAG maturity matrix

A compact matrix to separate a polished pilot from a RAG operation that can withstand audit, scale, and real usage.

August 1, 2026Read →

Process

Query a 2,000-page technical manual in natural language

The challenge is not storing manuals; it is being able to use them under pressure, with the right section, the current version, and the exact source in front of you.

July 31, 2026Read →

Process

From request for quote to quotation in minutes, not days

Many B2B companies do not lose margin because they sell badly, but because they take too long to understand, break down, and quote complex RFQs.

July 30, 2026Read →

Fintech

Credit approval in minutes: what AI actually automates and what it does not

Fast approval does not come from a magical AI. It comes from automating verification, document reading, and scoring inside a governed workflow.

July 29, 2026Read →

Private Equity

Filter deal flow before it reaches the committee: AI as the first filter

Not every deal deserves partner hours. AI can act as an initial filter against thesis fit, exclusions, and early asset-quality signals.

July 28, 2026Read →

Legal

The mistake that creates the most law-firm sanctions: miscalendared procedural deadlines

The issue is rarely not knowing the rule; it is extracting a deadline badly, interpreting a trigger too late, or leaving it outside the operational circuit.

July 27, 2026Read →

Legal

How to anonymize legal documents with AI without losing evidentiary value

Useful anonymization is not blind redaction: it protects sensitive data without breaking context, traceability, or evidentiary value.

July 26, 2026Read →

Security

Detect fraud without sending data to the public cloud: the private-AI case

How to detect transactional fraud in real time with a private LLM — without sending customer data to public tools — with traceability and sovereignty.

July 25, 2026Read →

Process

Due diligence in days, not weeks: AI for large-scale file review

How a RAG system with controlled sources accelerates Private Equity due diligence without giving up traceability, risk prioritization, or data sovereignty.

July 25, 2026Read →

Process

Find a technical tolerance in seconds — not in a 10,000-page manual

How a RAG system with controlled sources turns airworthiness manuals and SOPs into natural-language queries — with source citation and data sovereignty.

July 25, 2026Read →

Process

From 3 hours to 30 seconds: how a firm queries 10 years of contract history

How a RAG system with controlled sources can reconstruct a full client or contract history in seconds — without compromising professional secrecy.

July 25, 2026Read →

Process

Real predictive maintenance: IoT + RAG to anticipate the next failure

How to combine IoT sensors with a RAG system that understands your own technical manuals — to anticipate unplanned downtime, not only log it.

July 25, 2026Read →

Guide

Model Context Protocol (MCP): the definitive guide to executable AI in 2026

How MCP connects LLMs to enterprise tools in real time — and why it redefines operational AI.

April 25, 2026Read →

Analysis

MCP vs. traditional API: the end of static integrations for AI

A CTO/CIO comparison: less integration friction, more governance, and stronger operational impact.

April 20, 2026Read →

Case

Executable AI in action: MCP integration with ERP and CRM

From static integrations to real-time operations: stock, suppliers, and orders under governance.

April 15, 2026Read →

Process

Roadmap: from AI pilot to auditable production

A milestone process to move from demo to a system leadership and risk can operate and audit.

March 28, 2026Read →

Guide

Enterprise RAG without operational hallucinations

How to design retrieval operations can trust: sources, citations, evaluation, and clear limits.

March 10, 2026Read →

Process

Orchestrated automations: ROI in hours and margin

From loose scripts to measurable orchestration: where margin is won and how to avoid fragile-bot debt.

February 22, 2026Read →

Security

ISO 27001 security for AI in production

Controls, evidence, and OWASP applied to agents, RAG, and MCP tools — without improvising in production.

February 5, 2026Read →

Guide

How to evaluate an AI technology partner

Criteria before you hire: architecture, security, business metrics, and delivery cadence.

January 18, 2026Read →

Strategy

Cognitive infrastructure: AI that moves EBITDA

Beyond the noise: capability integrated into operations, security, and data governance with a financial readout.

December 2, 2025Read →

Process

Mission-critical web stack: why Astro (and what else matters)

Performance, front sovereignty, and delivery discipline for digital surfaces that cannot fail.

November 14, 2025Read →

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