AI Risk Registers: A Practical Starting Point
Use one entry per concrete failure scenario. Record the affected workflow, consequence, existing control, evidence, owner, and next review date.
Author
Priya Desai
Sprinklenet Research contributor focused on policy translation, compliance evidence, and executive-ready AI operating controls.
Government
AI Compliance Workflows for Federal Finance Teams
Consider a policy-research workflow that assembles relevant source passages for a finance reviewer. The reviewer records the applicable guidance, unresolved facts, and decision.
Government
GovCloud vs. Commercial Cloud for AI Workloads
Compare the proposed application boundary before the cloud label.
The Security Review Checklist for Enterprise AI Tools
Ask the supplier to demonstrate one allowed request, one denied request, a revoked permission, and a failed connector.
Government
AI Procurement Questions for Contracting Officers
Better procurement questions make vendor responses more comparable and reduce delivery risk.
Building Audit Trails for Agentic AI Workflows
A chat transcript is not an audit trail.
Government
AI Readiness for Government Contractors
Most contracting firms cannot say which AI tools are approved to touch contract data, and that gap matters more than model access.
Prompt Injection Risk in Enterprise Retrieval Systems
Every document your retrieval system indexes is a potential instruction channel into the model.
AI Governance Roadmap for Mid-Market Enterprises
Mid-market companies carry enterprise-sized AI obligations without a risk office to manage them.
Government
AI for Compliance Teams: Monitoring and Reporting
AI automates the most time-consuming compliance tasks, from regulatory monitoring to gap analysis and reporting, and frees compliance officers for the judgment calls that…
Government
FARbot vs. FARGPT vs. FARchat: Choosing a Federal Acquisition Regulation AI Tool (2026)
A factual 2026 comparison of the four major Federal Acquisition Regulation AI chatbots: FARbot, FARGPT, FARchat, and ChatGPT’s FAR Answer Bot.
Retrieval vs. Fine-Tuning vs. Prompting: How to Choose
A practical decision framework for choosing prompting, retrieval, fine-tuning, or a hybrid approach for enterprise AI systems.
Sprinklenet AI Newsletter
Most weeks I send one short read on enterprise AI: what’s working in real deployments, what’s not, and what I’d do in your seat.
Jamie Thompson, Founder and CEO