Build an AI Agent or Automation Workflow by Sachin RajanBuild an AI Agent or Automation Workflow by Sachin Rajan
Build an AI Agent or Automation WorkflowSachin Rajan
I build production-ready AI agents and automation workflows that connect your tools, APIs, data, and business processes.
This can include autonomous or human-in-the-loop agents, scheduled workflows, event-driven automations, internal AI tools, CRM workflows, research agents, reporting systems, API integrations, and multi-step business processes.
I focus on building systems that can run reliably beyond a prototype. That means structured outputs, validation, retries, persistent state, clear execution boundaries, logging, and approval steps where needed.
Typical work includes:
• AI agents for internal operations
• Workflow and business-process automation
• LLM and API integrations
• CRM and communication workflows
• Automated research and reporting
• Scheduled and event-driven processes
• Human approval workflows
• Database-backed agent state
• Multi-agent orchestration
• Existing automation debugging and improvement
What you’ll receive:
• System and workflow architecture
• Backend implementation
• AI / LLM integration
• API and third-party integrations
• Validation and error handling
• Logging and execution visibility
• Testing of key workflows
• Setup and handoff documentation
I can work from an existing workflow, specification, prototype, API documentation, or directly from your business requirement.
The goal is not simply to add an LLM to a process. It is to build an automation system that is useful, controllable, and reliable enough to run repeatedly.
I build production-ready AI agents and automation workflows that connect your tools, APIs, data, and business processes.
This can include autonomous or human-in-the-loop agents, scheduled workflows, event-driven automations, internal AI tools, CRM workflows, research agents, reporting systems, API integrations, and multi-step business processes.
I focus on building systems that can run reliably beyond a prototype. That means structured outputs, validation, retries, persistent state, clear execution boundaries, logging, and approval steps where needed.
Typical work includes:
• AI agents for internal operations
• Workflow and business-process automation
• LLM and API integrations
• CRM and communication workflows
• Automated research and reporting
• Scheduled and event-driven processes
• Human approval workflows
• Database-backed agent state
• Multi-agent orchestration
• Existing automation debugging and improvement
What you’ll receive:
• System and workflow architecture
• Backend implementation
• AI / LLM integration
• API and third-party integrations
• Validation and error handling
• Logging and execution visibility
• Testing of key workflows
• Setup and handoff documentation
I can work from an existing workflow, specification, prototype, API documentation, or directly from your business requirement.
The goal is not simply to add an LLM to a process. It is to build an automation system that is useful, controllable, and reliable enough to run repeatedly.