Extend AI Workflow Automation Agent
Budget: ₹2,500 – ₹0 INR
I recently finished the first version of an AI agent that marries large-language-model reasoning with structured workflows. It already triggers tasks and logs outcomes, but I now want to push it from proof-of-concept to a rock-solid internal service.
The immediate focus is to automate routine tasks, standard responses and process follow-ups across our existing tool stack—everything from data-entry style chores to email handling and report generation. Beyond execution, the agent must actively support decisions in operations, sales, support and wider workflow orchestration, not just spit out suggestions.
To do this well, the model has to read customer intent, obey system rules and act on real-time workflow context before taking autonomous actions. Reliability, scalability and clear observability are non-negotiable; I need this to feel like a dependable service, never a fragile chatbot.
Current stack: Python, LangChain, FastAPI, Postgres and a private Git repo with CI/CD. Open to well-reasoned improvements that boost stability or speed.
Deliverables
• Modular, well-documented code for the new automations
• Integration tests proving end-to-end execution paths
• A concise runbook covering deployment, monitoring and rollback
Acceptance criteria
The agent completes the tasks above with at least 95 % success in staging, respects all system rules and produces audit logs for every autonomous action.
The immediate focus is to automate routine tasks, standard responses and process follow-ups across our existing tool stack—everything from data-entry style chores to email handling and report generation. Beyond execution, the agent must actively support decisions in operations, sales, support and wider workflow orchestration, not just spit out suggestions.
To do this well, the model has to read customer intent, obey system rules and act on real-time workflow context before taking autonomous actions. Reliability, scalability and clear observability are non-negotiable; I need this to feel like a dependable service, never a fragile chatbot.
Current stack: Python, LangChain, FastAPI, Postgres and a private Git repo with CI/CD. Open to well-reasoned improvements that boost stability or speed.
Deliverables
• Modular, well-documented code for the new automations
• Integration tests proving end-to-end execution paths
• A concise runbook covering deployment, monitoring and rollback
Acceptance criteria
The agent completes the tasks above with at least 95 % success in staging, respects all system rules and produces audit logs for every autonomous action.