Building a Retrieval Layer for Operational Knowledge
Most operational AI failures trace back to retrieval, not the model: the wrong version wins, permissions leak, and withdrawn documents keep getting cited.
Insights
Articles from Sprinklenet on AI governance, AI strategy, enterprise knowledge management, and government contracting.
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AI Governance Roadmap for Mid-Market Enterprises
Mid-market companies carry enterprise-sized AI obligations without a risk office to manage them.
AI Due Diligence for Buyers and Investors
Investors, acquirers, and enterprise buyers face the same question: how to separate AI capability from marketing. A structured approach to AI due diligence.
Government
Agentic AI in Enterprise Operations
Agentic AI enables enterprises to move beyond reactive chatbots to autonomous systems that plan, reason, and execute multi-step workflows.
Multimodal AI for Business Leaders
Multimodal AI lets enterprises process text, images, documents, and audio within one architecture, opening document intelligence, quality inspection, and knowledge capture that single-modality systems…
From Pilot to Production: Scaling AI Without Losing Momentum
The pilot-to-production gap kills more AI projects than bad technology. Bridge it with production-ready architecture, deliberate integration planning, and incremental scaling that maintains momentum.
What AI Vendors Miss About Data Preparation
In Sprinklenet’s project experience, 60–80% of the effort goes into data preparation.
Building AI Delivery Teams That Ship
The difference between organizations that ship AI and those that stall almost always comes down to team structure. Three roles every AI team needs.
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…
Multi-Model AI Architecture for Real-World Delivery
The best enterprise AI systems use multiple models, each selected for specific tasks.
Intelligent Automation Beyond RPA
Intelligent automation moves past rule-based automation to systems that interpret context, adapt to variation, and support decisions in complex situations.
Agentic AI for Controlled Enterprise Workflows
Every vendor claims agentic AI. What it is, where it creates measurable value, and how to adopt it without the missteps that derail most…
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