From Scattered Signals to Cited Answers: How We Built Our Customer Intelligence Platform
How we built CIP, our customer intelligence platform: 13 n8n workflows, a self-hosted SingleStore store and a RAG chat that gives cited answers.
AI/ML Consulting
How to Build a Multi-State AI Compliance Program: A Step-by-Step Playbook for U.S. Mid-Market Businesses
Map which state AI laws apply to your business and run them through one NIST-aligned governance program. A 6-step playbook for mid-market companies.
AI-Ready Meeting Data: How We Fixed Zoom Recording Chaos in 2 Weeks
Generic Zoom titles broke our recording routing. A small app built in 2 weeks with AI now names every meeting and files recordings on our Synology NAS.
Can Claude Replace Your Data Team? What Executives Learn After Six Months of Doing It Themselves
Executives are connecting Claude to their data warehouse instead of hiring. What 2026 research says about accuracy, risk, and what to build first.
AI Governance Failures: What Air Canada, Workday and Cigna Teach Mid-Market Leaders
Explore tips and techniques for snowflake cost optimization to save money and enhance data efficiency.
AWS, OpenAI, and Anthropic Just Bet $6.5B on Forward-Deployed Engineers. Here’s What It Means for Mid-Market Companies.
If you run a growing company, you have probably lived some version of this story: you bought the AI tool, ran the pilot, sat through the vendor demos — and six months later, nothing about how your business actually operates has changed.
The End of the Dashboard Era: Why AI-Native Analytics Is Replacing Traditional BI
Dashboards are answers to questions people asked last year. That is not an indictment of dashboards. For monitoring known metrics …
How Insurers Convert Policy PDFs into Structured Data Using AI
Use insurance document automation to convert policy PDFs into data. Leverage IDP, OCR, and NLP to streamline workflows and improve accuracy.
How Predictive Analytics Models Power Insurance Claims and Risk Decisions
Unlock actionable insights with insurance predictive analytics to improve claims forecasting, risk modeling, and operational decision-making.
The 5 Pillars of a Mid-Market AI Readiness Assessment
In our work with mid-market and enterprise organizations, AI initiatives rarely fail in the boardroom. They fail in the infrastructure. They fail in the data pipeline. They fail because an organization committed to AI transformation before it honestly assessed whether it was ready for one.