Practical systems, not slideware
Examples drawn from industrial operations, retail, mortgage investing, insurance, lead follow-up, and internal analytics work.
AI Lead Follow-Up System for a Small Consulting Firm
Replaced a plain contact form with an automated lead workflow that confirms receipt, alerts the owner, preserves context, and keeps prospects warm without adding another SaaS subscription.
Industrial ETL Modernization and Survey Sentiment Triage
Improved brittle ETL procedures and prototyped an early sentiment analysis workflow that turned open-ended survey responses into themes, risks, and practical mitigation steps.
Retail Data Workflows for a Furniture Brand
Helped a furniture retailer make better use of operational and customer data by tightening reporting workflows and identifying places where automation could reduce manual work.
Mortgage Investment Reporting and Data Pipeline Cleanup
Supported mortgage investment analysis by improving how loan, property, and performance data could be prepared, reviewed, and reused for reporting.
Insurance Recruiting and Agency Territory Planning
Built analysis patterns for identifying promising agent candidates from resumes and using geography plus census data to support agency placement decisions.
Start with one useful AI system
If your team is manually chasing leads, reading competitor emails, answering the same internal questions, or copying data between systems, that is a good place to start.
Want examples? Drop your email and I will send practical AI workflow ideas for smaller companies.