Government
On-Prem vs. Cloud AI Deployment
Choosing between on-premises, cloud, and hybrid AI deployment affects security, costs, and capabilities. A practical framework for making this critical infrastructure decision.
Insights
Articles from Sprinklenet on AI governance, AI strategy, enterprise knowledge management, and government contracting.
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Document Intelligence for Enterprise Teams
Eighty percent of enterprise data is unstructured.
AI Chatbots for Internal Help Desks and IT Support
AI chatbots built on a knowledge management platform resolve routine IT help desk tickets automatically while improving response times and employee satisfaction.
Budgeting for AI Implementation in Year One
Model API costs are 15–20% of total AI spend. The other 80% is where budgets hold or collapse.
Custom AI vs. SaaS Platforms: A Buyer Framework
A practical framework for enterprise leaders evaluating whether to build custom AI, adopt SaaS platforms, or pursue a hybrid approach, with five decision dimensions…
Measuring the ROI of AI Knowledge Management
AI knowledge management ROI comes from time savings, quality gains, risk reduction, and preserved institutional knowledge when teams measure it honestly.
Government
AI Knowledge Management for Enterprise Teams
AI knowledge management helps enterprise teams turn repositories, institutional memory, and operational records into governed, searchable, citation-backed answers.
Government
Retrieval Pipeline Architecture for Enterprise AI Integration
A production retrieval pipeline needs more than embeddings. Enterprise AI integration requires ingestion, metadata, permissions, evaluation, orchestration, and governance.
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.
Building an AI Center of Excellence
An AI Center of Excellence helps organizations coordinate strategy, governance, architecture, delivery standards, and adoption without slowing useful experimentation.
Government
AI Compliance and Data Governance
AI compliance extends beyond traditional data governance into model transparency, bias monitoring, and algorithmic accountability.
AI Security in Practice for Multi-Model Systems
A practical look at AI security for multi-model systems, including data exposure, prompt injection, permission-aware retrieval, auditability, and defense in depth.
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