AI Browser-Automation Agent (Data Tasks)

If your team spends hours every week logging into a portal to copy data, fill the same forms, pull the same reports or move records between two systems that don't talk to each other, an AI browser-automation agent can do it for you. I build agents that actually operate web apps the way a person does — navigating pages, reading the screen, typing into fields and clicking through multi-step flows — using Playwright and computer-use techniques combined with LLM reasoning to handle layouts that shift or fields that move. This is ideal for back-office work on internal dashboards, supplier portals and government-style web systems that offer no proper API.

Reliability is the whole point, so every agent ships with error and retry handling, detailed run logs, and human-in-the-loop checkpoints where a person approves before anything is submitted or a payment-style action is taken. Agents can run on a schedule (for example, pull a daily report at 7am) or on demand, and I deploy them on a UAE-friendly VPS or your own cloud. Suited to SMEs, agencies and finance/operations teams across Dubai, Abu Dhabi and Sharjah.

This is a packaged browser-automation agent for a defined back-office task — distinct from my sibling AI Agents Development gig, which designs custom multi-agent frameworks and tool-using systems in LangChain/CrewAI for product features. Here you get one robust agent that operates real web apps and finishes a specific repetitive job, not a from-scratch agent platform.

How it works

1. 1
   Map the task

   We record the exact clicks, fields and decisions the job needs today

2. 2
   Build + guardrail the agent

   I build the flow with retries, logging and human approval checkpoints

3. 3
   Test + deploy scheduled

   We test on real cases, then deploy it to run on schedule or on demand