10 min readApplied
AI Compliance Starts at Ingestion
AI compliance is a property of how documents enter your system, not a report you run later. Why data provenance and audit trails must be built at ingestion.
Running AI in Live Operations
What breaks after launch: memory, permissions, freshness, compliance, approvals.
10 posts
9 min readPrimer
Vector Database and Retrieval: What Matters Operationally
Choosing a vector database is not the operational risk. Whether retrieval is fresh, secure, and testable is. Here is how operations leaders should decide.
9 min readPrimer
Knowledge Management AI for Teams That Need Reliable Answers
Knowledge management AI fails when it is treated as content generation. Reliable answers come from a governed knowledge flow, not a bigger knowledge management system.
8 min readPrimer
AI Context in Live Operations: What Must Stay Live
In live workflows, AI context is the real-time answer to who can act, what changed, and which record is current. Here is how to decide what must stay live.
8 min readApplied
The Continuous Alignment Loop for AI Agents
AI agents drift after launch. Keeping them aligned takes a loop: capture failures, diagnose them, approve fixes through governed context, redeploy, repeat.
9 min readPrimer
Agent Memory Without Risk: A Plain-English Guide
Agent memory is safe only when it is scoped, expiring, and re-verified at the point of action. Here is how operations leaders set the boundary before an agent acts.
9 min readPrimer
AI Memory in Operations: What Should the System Remember?
Operational AI memory improves continuity, but only with explicit retention rules. Here is how to decide what the system keeps, discards, and must cite before acting.
11 min readPrimer
Enterprise Search vs AI Search for Ops Teams
Enterprise search and AI search solve different problems. Operations teams need answers that are current, permission-aware, and evidence-backed — not just relevant.
9 min readPrimer
Data Ingestion Pipeline Basics for Operations Leaders
AI answers are only as fresh as your ingestion pipeline. What operations leaders need to know — and a trace worksheet to find where data goes stale.
9 min readPrimer
AI Operations: Why Good Models Still Fail in Live Workflows
Capable AI agents still fail in production because operations depend on approvals, exceptions, source quality, and handoffs — not model IQ. Here is the control map.
Inherent on Substack
Keep yourself updated on the latest in AI news and trends.
Everything you need to know about AI, delivered to your inbox. Every week.
Powered by Substack. Unsubscribe anytime.