EngineersGovernance & Compliance
Technical readiness checklist for AI in production
Eight verifiable blocks, each with required evidence, to decide whether an AI system is ready for production — not just for a demo.
5 min read
Governance & Compliance
12 publications
EngineersGovernance & Compliance
Instrumenting cost and quality in AI production
How to measure tokens and cost per unit of work, attribute spend by team, monitor quality, and back your ROI calculation with real data.
4 min read
EngineersGovernance & Compliance
Immutable AI decision log with hash chaining
How to build an append-only, hash-chained record of AI decisions — with periodic anchoring, auditable correction, and vendor-independent export.
5 min read
ExecutivesGovernance & Compliance
An audit trail for decisions made with AI
What to record, how long to keep it, and how to answer an auditor, a customer or a regulator without depending on your vendor's goodwill.
3 min read
EngineersGovernance & Compliance
Policy as code for AI governance
How to turn your AI usage policy into executable rules: risk classification, attribute-based authorization, guardrails and CI tests.
4 min read
ExecutivesGovernance & Compliance
The AI committee: who decides, who approves, who answers
Roles, a risk-based approval matrix, an acceptable use policy and a use-case inventory — the minimum executive governance for scaling without surprises.
3 min read
EngineersGovernance & Compliance
PII detection and masking in AI pipelines
How to detect, mask, and, when authorized, re-identify personal data in AI pipelines without breaking inference or data-subject rights.
5 min read
ExecutivesGovernance & Compliance
Data privacy in the age of AI: GDPR and LGPD in practice
Legal basis, minimization, anonymization, impact assessments and model-vendor clauses — what changes when AI enters the workflow.
3 min read
EngineersGovernance & Compliance
Capture pipeline for AI interactions: from conversation to auditable knowledge
How to design the event schema, partitioning, retention, and indexing needed to turn prompts, retrieved context, and human edits into a reusable knowledge asset.
4 min read
ExecutivesGovernance & Compliance
The forgotten asset: turning AI interactions into auditable knowledge
How to capture, version and curate prompts, responses and decisions so every AI use improves the next one — instead of vanishing at the end of the session.
4 min read
EngineersGovernance & Compliance
AI gateway: DLP and outbound data control
How a corporate AI gateway becomes the single point of egress — identity, routing, DLP on request and response, cost limits and shadow AI blocking.
6 min read
ExecutivesGovernance & Compliance
Where what your employees type into AI ends up
The real path of a corporate prompt: retention, model training, subprocessors and data residency — and the questions that belong in the contract.
4 min read
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