Single Workflow Agent
7 Days
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One automated workflow with human approval before any external action is taken.
One automated workflow with human approval before any external action is taken.
Deliverables: A working AI agent built around one repetitive process in your business, such as stock monitoring, data entry, supplier outreach, or document processing. The agent handles repetitive steps automatically and includes a human approval checkpoint before anything is sent externally, so you always stay in control. You receive a fully functional agent, a simple dashboard to monitor its activity, and short documentation explaining how it works and how to adjust it.
Process: I start by understanding your current workflow, including where time is lost and which steps are repetitive or error prone. I then build and test the agent using your real business case, not a generic template, so the logic matches how your business operates. Human review checkpoints are placed where mistakes would be costly, such as before an email is sent. Once tested, the agent is deployed with a simple dashboard so you can see what it is doing, along with clear documentation.
Timeline: Most projects are completed within one to two weeks, depending on workflow complexity.
What I need from you: A short description of the workflow you want automated, and sample data if available, so the agent can be tested against real conditions.
Keywords: AI agent, workflow automation, business automation, LangGraph, LangChain, autonomous agent, agent developer, inventory automation
7 Days
21 Days
30 Days

AI/ML Engineer based in Faisalabad, Pakistan. I build agentic AI systems, chatbots, and machine learning pipelines that actually ship, not just prototype in a notebook. My focus is stateful multi-agent workflows (LangGraph, LangChain), computer vision, and production-ready deployment. I also apply MLOps practices (MLflow, DagsHub) to keep experiments tracked and systems reliable long after launch.
AI/ML Engineer based in Faisalabad, Pakistan. I build agentic AI systems, chatbots, and machine learning pipelines that actually ship, not just prototype in a notebook. My focus is stateful multi-agent workflows (LangGraph, LangChain), computer vision, and production-ready deployment. I also apply MLOps practices (MLflow, DagsHub) to keep experiments tracked and systems reliable long after launch.




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