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Enterprise Practice

AI Automation & Agents

Build recursive LLM orchestration pipelines using LangGraph and n8n to automate complex support, CRM enrichment, and outreach workflows. We replace manual, rule-based processes with adaptive, reasoning agents.

Discuss Your Automation Needs

Key Outcomes

  • Reduce operational costs by 40-60%
  • Eliminate manual data entry and enrichment
  • Scale customer support without linear headcount growth
  • Execute complex workflows autonomously 24/7

Deliverables

  • Multi-agent Pipeline Architecture
  • Deployed LangGraph/n8n Workflow
  • Human-in-the-loop Escalation Framework
  • CRM/ERP Integration Layer
  • 30-day Post-launch Tuning SLA

Engagement Methodology

1

Process Mining

Identify bottlenecks in support, sales, or operations workflows.

2

Agent Design

Architect multi-agent systems with specialized personas and tool access.

3

Orchestration

Build LangGraph/n8n pipelines connecting LLMs to internal APIs.

4

Deployment

Deploy with human-in-the-loop escalation paths for safety.

Engagement Profile

Typical Timeline6 - 12 Weeks
TeamAI Engineer, Automation Specialist
Best ForOperations and support teams overwhelmed by repetitive, manual knowledge-work tasks.