in technology, from hands-on engineering to platform leadership
employees served by AI solutions I put into production
users on Jira platforms I have run
An AI assistant that tells families whether they can still apply for FEMA disaster help, and by what date.
FEMA’s disaster data is public but raw, and the rules are easy to misread. A county may be declared only for aid to local governments, deadlines get extended, and denial letters confuse people. A wrong deadline can cost a family their aid, so the app follows one rule: code computes the facts, the AI only explains them, and code checks the explanation.
In the news







Ask a real question about any US county and watch the answer get checked against FEMA's data. Choose a 15-minute walkthrough, or I'll send you a login to try it yourself.
Every engagement is anchored in rigorous engineering standards and strict balance-sheet accountability.
Conversational assistants, RAG and agentic AI grounded in your own content and systems.
Jira, Jira Service Management, Jira Align and Confluence, from administration and migrations to AI-powered automation with Atlassian Rovo.
Connecting ServiceNow, Workday, Microsoft Teams and other systems, and the Agile delivery practices that make change stick.
Most AI projects stall between the pilot and everyday use. My work is closing that gap.
I'm the founder of Edge With AIS. Over 30 years in technology, I've put AI solutions into production for a 63,000-employee organization and run Jira platforms serving 24,000 users. I build with the same rule I used in Disaster Aid Navigator: code computes the facts, the AI explains them, and code checks the result.
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