What the team was up against.
[Placeholder] The operations team was spending 6+ hours daily on repetitive data processing tasks that required context switching between multiple tools and manual verification steps.
[Placeholder] Error rates had climbed to 8% due to human fatigue, and the backlog was growing faster than the team could handle. Something needed to change.
How I thought about it.
[Placeholder] I started by shadowing the operations team for two weeks, documenting every decision point, tool interaction, and edge case they encountered.
[Placeholder] This research revealed that 80% of the work followed predictable patterns — perfect candidates for AI automation with human oversight on the remaining edge cases.
"The goal wasn't to replace humans, but to give them superpowers — handling the routine so they could focus on the complex."
What shipped.
[Placeholder] Built a fleet of specialized AI agents using Claude and the Model Context Protocol (MCP), each handling a specific workflow domain.
[Placeholder] Implemented a review queue for edge cases and a comprehensive audit trail for compliance. The system processes documents, extracts key data, and routes decisions to the right team members.
Built with.
// Agent orchestration with MCPconst agent = new MCPAgent({model: 'claude-3.5-sonnet',tools: [documentParser, dataExtractor, routingEngine],context: workflowContext,});const result = await agent.process({input: document,maxSteps: 10,reviewThreshold: 0.85,});
What it produced.
[Placeholder] The system now handles 500+ documents daily with minimal human intervention. The operations team has been redeployed to higher-value strategic work, and the company projects $400K in annual savings.
What I'd do differently.
[Placeholder] If I were to do this again, I'd invest more upfront in building a robust testing framework for the AI agents. We caught some edge cases later than ideal.
[Placeholder] I'd also advocate for involving the operations team earlier in the design process — their domain expertise was invaluable and we could have moved faster with their input from day one.
