How to choose the first Claude workflow to automate
A practical selection model for finding a first AI workflow that is useful, measurable, and safe to put in production.
Resources
Practical notes for teams modernizing data and AI operations.
Short guides for buyers and technical leaders evaluating Claude, AI workflow automation, migration support, reporting systems, and operational data reliability.
Claude and AI
Guides for production AI workflows and Claude adoption.
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What makes an AI workflow production-ready
The controls, evaluation criteria, handoff design, and monitoring needed before an LLM workflow becomes part of daily operations.
Claude Code enablement guide
How engineering and data teams can use Claude Code for codebase understanding, tests, refactoring, migration support, and documentation.
Data operations
Checklists for support, reporting, and platform reliability.
Database operations handover checklist
A checklist for support coverage, migration readiness, backups, escalation paths, and reporting dependencies.
BI reporting reliability checklist
A practical checklist for KPI definitions, dashboard ownership, refresh cadence, access rules, data quality, and stakeholder trust.
Migration support playbook
A playbook for QA, validation, reporting continuity, rollback planning, stakeholder updates, and operating handover.