Work
Outcomes from engagements Alberto ran. Client names stay off the page where NDAs or courtesy require it. Metrics are real. Ask under NDA if you need deeper diligence before a call.
Context: PE-backed home-services company (generator installs). Data bill climbing. Operators still needed the tools.
What we did: Right-sized warehouse, pipelines, and BI against actual use. Cut what wasn’t earning its keep.
Result: ~$110k/yr lower annual spend, ops still unblocked.
Tools
~$110k/yr
Context: Ecommerce / media company. Familiar mess: rising cost, numbers nobody fully trusted.
What we did: Warehouse and pipeline cleanup, BI that finance and growth could believe.
Result: ~$100k/yr cost impact, reliability that stuck after the engagement.
Tools
~$100k/yr
Context: Operators wanted to ask the business questions without waiting on a ticket queue.
What we did: Production connectors with real identity and permissions, not a demo on one laptop.
Result: 10+ live setups in use.
Tools
10+ live setups
Context: Home-services growth needed a faster path from operational signal to sales action.
What we did: Real-time outage signal in, sales targeting out.
Result: Working motion leadership could point to, not a slide about “AI readiness.”
Tools
Working motion
Context: Natural-language answers are only useful if the metrics underneath are honest.
What we did: Semantic layer work so AI answers sit on definitions and entitlements the business already trusts.
Result: Cortex Analyst-ready layers on metrics that hold up.
Tools
Cortex Analyst-ready
Bring the bill, the outages, and the questions owners keep asking.
