I design AI-powered automation for fintech operations. My agents read support tickets and supplier emails, draft replies, route decisions to the right person and deliver executive reports before the workday starts.
Each system pairs automation with AI: it reads the incoming work, understands it, takes the next step and keeps a person in charge of the decision.
Every new support request and complaint is summarized by AI, given a suggested internal action and a ready-to-edit reply, so agents start from an answer instead of a blank screen.
Supplier emails are read and summarized by AI, logged in a tracker, de-duplicated and sent to the right reviewer, with escalations and daily reminders handled automatically.
Weekly and monthly reports, plus an executive presentation, that collect the data, compute the metrics and arrive in the manager's inbox on schedule.
Support response and resolution times measured in business hours, with escalation alerts, morning summaries of pending tickets and a personal scorecard for every agent.
The automations I have built and run in production, grouped by what they do.
AI is most useful when it does the reading and the routing, and leaves the judgment to people.
Tickets, complaints and emails are summarized and classified the moment they arrive, so nobody spends the morning sorting.
Most delays live between people. Requests, approvals and alerts reach the right owner instantly, as a card with one clear action.
AI prepares the decision and a person makes it. Every flow leaves a clear owner, a clear button and a clear record.
The Microsoft stack used to its full potential, extended with AI models and Python.
Open to conversations about AI in operations, process automation and reporting.
naderaloufi3@gmail.comlinkedin.com/in/nader-aloufi