Different industries, same approach: understand the problem, build something that works.
AI / Automation
Customer Service Chatbot
The problem: Support team was overwhelmed with repetitive questions. Same 20 questions, asked hundreds of times.
Built an AI chatbot trained on their documentation. Handles tier-1 questions automatically, escalates the rest to humans.
Handles 70% of incoming support tickets without human intervention
Automation
Weekly Report Automation
The problem: Ops manager spent every Monday morning pulling data from 3 systems, copying into Excel, formatting the same report.
Built a system that pulls the data automatically, generates the report, and emails it out every Monday at 7am.
Saves 4+ hours every week. Report is ready before anyone gets to the office.
Dashboards
Executive Dashboard
The problem: Leadership couldn't get a clear view of the business. Data in spreadsheets, always out of date, nobody trusted the numbers.
Built a live Tableau dashboard pulling from all their systems. Updates automatically, one source of truth.
Leadership makes faster decisions. No more "let me check on that."
Data Cleanup
Duplicate Data Elimination
The problem: Customer database was a mess. Same people entered multiple times, variations in names, no way to trust the data.
Built a deduplication system that matches records intelligently, merges duplicates, and keeps the database clean going forward.
Reduced duplicate records by 40%. Data they can actually trust.
Integration
CRM to Accounting Sync
The problem: Sales closed deals in the CRM, but someone had to manually re-enter everything into the accounting system. Errors, delays, frustration.
Built an automated sync. When a deal closes in the CRM, invoice gets created in accounting automatically.
Zero manual data entry. Invoices go out same day instead of next week.
Analytics
Support Call Analytics
The problem: Thousands of support calls per month but no visibility into what customers were actually saying. Trends hidden in recordings nobody had time to listen to.
Built a pipeline that transcribes calls, analyzes sentiment, and surfaces trends in a dashboard.
Product team finds issues customers complain about - before they churn.