An AI agent development company that ships the guardrails with the agent

1. Problem. 5 million+ files across regional data centers, S3, document systems, databases and application servers: contracts, financial statements, engineering reports, spreadsheets and email. The usual fix is 1 central index, and regional data rules ruled it out. So every cross-region question, and every workflow touching more than 1 system, depended on someone stitching answers together by hand.

2. Solution. The data stays in its region and the question travels to it. Retrieval runs locally and returns only what the asking user is already allowed to open. 7 LangGraph agents split the work, hand off to each other over A2A and reach each system through MCP servers with scoped permissions. Anything that changes a record waits for human approval, and n8n keeps ingestion, approvals and notifications moving around the clock.

1. Problem. 14 disconnected sales tools, no consistent lead qualification and shaky CRM data. Revenue was slipping through gaps that no single person could track across multiple regions at once.

2. Solution. A round-the-clock revenue layer on n8n and LangGraph. Real-time lead qualification, automatic CRM enrichment, personalized outreach across email and LinkedIn, predictive deal health scoring, and live pipeline reports delivered to leadership with no sales ops in the loop.

1. Problem. A fast-scaling US e-commerce brand had support infrastructure buckling under volume. Response times were slipping, agents were overwhelmed, and brand content across 5 social platforms was inconsistent. Hiring more people was the expensive fix.

2. Solution. An autonomous support platform across Instagram, TikTok, Facebook, LinkedIn, X, chat and email. Claude handles incoming queries with knowledge-grounded reasoning, processing refunds, routing tickets and resolving most issues without escalation. A sentiment layer escalates only what needs human judgment.