Before an AI assistant
Which decision or recurring request needs help? What information can it safely use? Who reviews output? What does a good escalation look like?
NEQYZ insights
Ideas for building what comes next.
Original articles, working guides, and concise briefings for teams improving data, cloud, automation, AI, security, and digital platforms.
Choose your format
Start with the level of depth the decision needs.
Some conversations benefit from a sharp point of view. Others need a working sequence the team can use together. The library is organized around both.
10 FIELD NOTES
Articles & field notes
Original thinking on cloud modernization, database reliability, observability, AI guardrails, automation, data governance, security, and platforms.
Browse articles →04 WORKING GUIDESGuides & workbooks
Step-by-step materials for cloud modernization, database reliability, automation discovery, and AI assistant design.
Browse guides →QUICK STARTBriefings
Short starting points for teams that need to orient around the question before deciding how deeply to explore it.
Read briefings →Featured reading
Useful perspectives for complicated technology decisions.
Read a field note when you want a clear lens on a technology choice; use a guide when you need a practical working session.
Field note · Cloud
Cloud modernization is a portfolio decision.
Turn an inherited estate into a sequence of decisions with evidence, guardrails, and momentum.
Read article →Field note · AIAI guardrails should keep work moving.
Bound a useful assistant without turning human judgment into an afterthought or a bottleneck.
Read article →Guide · DataThe database reliability playbook.
Define the service you are protecting, identify recovery assumptions, and tune around real workloads.
Open guide →Briefings
Four conversations worth having before the project grows.
These concise prompts are meant to make a first meeting more useful. They do not replace discovery; they provide the questions that make discovery sharper.
Before cloud modernization
What is driving the change? Which dependencies and operational responsibilities come with each workload? What would make a first wave successful?
Before a data platform
Which decisions lack trustworthy evidence today? What data definitions, quality gaps, access patterns, and ownership need to be settled?
Before a new platform
Who is trying to do what? What is broken about the current experience? What is the smallest meaningful release that can prove the path?
Have a different question?
Bring the decision you are trying to make next.
We can help you turn the situation into a more useful frame—then find the right article, guide, or delivery path from there.