Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑
Proud to have partnered with:
Microsoft
Capgemini
HubSpot
Google
Shopify
Thoughtworks
Zapier
Altar.io
Klaviyo
Aws
Microsoft
Capgemini
HubSpot
Google
Shopify
Thoughtworks
Zapier
Altar.io
Klaviyo
Aws
EagliX Service

AI Agents & Intelligent Automation

Autonomous agents that work 24/7, integrate with everything, and actually stay on-task.

LangChainCrewAIAutoGenRAGLLMs
What We Build

Our approach to AI Agents & Intelligent Automation

Most automation projects fail because they're too brittle for real-world variability. We build AI agents that handle complexity — multi-step reasoning, tool use, memory, and human-in-the-loop fallbacks — using production-tested patterns with LangChain, CrewAI, and RAG.

Whether you need a single specialized agent or a full multi-agent system coordinating across your business logic, we architect systems that are observable, maintainable, and built to improve over time — not black boxes that break when a prompt changes.

AI Agents & Intelligent Automation
Why EagliX

What Makes Us Different

Production-Battle-Tested Patterns

We don't experiment on your budget. Our agent architectures are proven on real deployments with proper error handling, retries, and observability built in from the start.

RAG That Actually Retrieves Well

Chunking strategy, embedding selection, retrieval tuning, and re-ranking — we handle the parts of RAG that most tutorials gloss over and most demos ignore.

Multi-Agent Orchestration

From simple single-agent workflows to complex systems with specialized sub-agents, routing logic, shared memory, and handoff protocols.

Observable & Maintainable

Every agent ships with LangSmith tracing, logging, and evaluation tools so you can see exactly what it's doing and improve it systematically over time.

Deliverables

Everything You Get

No ambiguity. Every engagement comes with a clear scope and defined deliverables agreed upon before work starts.

  • Production-ready agent system with error handling and retries
  • Custom RAG pipeline + vector store (Pinecone, Weaviate, or pgvector)
  • Tool integrations (APIs, databases, internal systems)
  • LangSmith / evaluation and tracing setup
  • Human-in-the-loop escalation flows
  • Deployment on your infrastructure or preferred cloud
  • Agent documentation and operational runbooks
Is This Right For You?

This Service Is Built For…

Companies with repetitive, rule-based workflows to automate
Teams drowning in manual data processing or research tasks
Businesses wanting AI-powered customer support or internal assistants
SaaS products adding AI capabilities to their core product
Enterprises with large internal knowledge bases to make searchable
How We Work

From First Call to Delivery

01
01

Workflow Mapping

Identify the exact processes to automate, inputs and outputs, decision points, and edge cases that require special handling.

02
02

Architecture Design

Design the agent graph, tool selection, memory strategy, retrieval approach, and human escalation logic.

03
03

Prototype & Evaluate

Build a testable prototype and measure against your quality benchmarks before investing in full production build.

04
04

Production Build

Full implementation with error handling, observability, comprehensive tests, and clean documentation.

05
05

Integration

Connect to your existing systems, APIs, data sources, and communication channels.

06
06

Deploy & Monitor

Launch with full tracing, a monitoring dashboard, and a performance baseline to measure against over time.

Ready to Start?

Let's build something exceptional

Book a free 30-minute discovery call. We'll scope your project, answer every technical question, and give you a clear path forward — no commitment required.