Insights
Insights
Technical insights, case studies, practical guidance, and company updates from the VisionWrights team.
Data Strategy
April 5, 2026
AI Safety and Governance: What Your Board Will Ask
Your board will ask about AI governance. Your compliance team will ask about data privacy. Your legal team will ask about liability. Here's what you need to know before those meetings.
Artificial Intelligence
April 5, 2026
How AI Works: What You Need to Know Before You Buy
You don't need to understand transformer architecture. You do need to understand what AI can and can't do, why it sometimes lies to you, and what the vendors won't tell you.
Artificial Intelligence
April 5, 2026
Building AI Agents: What It Actually Takes
Everyone's selling AI agents. Few are explaining what it takes to build ones that survive contact with reality. Here's what the engineering actually looks like.
Data Strategy
April 5, 2026
AI Maturity: Where You Are and What Comes Next
Most mid-market organizations aren't ready for the AI they're buying. Here's an honest assessment framework — and why starting with the right foundation matters more than starting fast.
Data Engineering
April 5, 2026
Data Foundations: The Boring Part That Makes Everything Work
Every exciting AI initiative depends on boring data engineering. Pipelines, warehouses, ETL, data unification — the infrastructure that nobody wants to talk about but everybody needs.
Data Strategy
April 5, 2026
Unstructured Data: The 80% You're Ignoring
Your dashboards track the 20% of your organizational knowledge that lives in databases. The other 80% — meeting notes, emails, documents — is invisible. Here's how to change that.
Artificial Intelligence
April 5, 2026
Agent Trust: From Guardrails to Autonomy
The question isn't whether AI agents can take action — it's whether your organization trusts them to. Here's the progressive trust model we use with every client.
Data Engineering
April 5, 2026
Composable Analytics: Why We Don't Lock You In
The analytics market wants to own your entire stack. Composable architecture lets you swap any layer without starting over. Here's why that matters for mid-market organizations.
Data Strategy
April 5, 2026
The Semantic Layer: Why Your AI Gives Wrong Answers
When two people pull different revenue numbers from the same system, the problem isn't the tool — it's the missing semantic layer. Here's why it matters more than ever.
Artificial Intelligence
April 5, 2026
Natural Language Query: Ask Your Data a Question
NLQ sounds simple — type a question, get an answer. But the gap between a demo and a production system that your COO trusts is enormous. Here's what we've learned building them.
AI Foundations
March 24, 2026
Why Measurement Maturity Is the Foundation AI Can't Skip
AI projects fail when organizations can't measure whether they're working. Measurement maturity — KPIs, baselines, targets, and feedback loops — is the foundational layer that makes AI accountable. Here's what it means and how to build it.
Analytics
February 22, 2026
The Five Reports Your Behavioral Health EHR Was Never Designed to Produce
Behavioral health organizations are not drowning in manual reporting because their EHR is bad. They are drowning because the analytics challenge is cross-system — and no EHR is built to solve that. Here is what is actually happening and what a realistic fix looks like.
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