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Agentic AI

Agentic AI develops production‑grade agentic AI and automation solutions that integrate large‑language‑model agents, such as Anthropic Claude, with live business systems like CRMs, ERPs, and support queues. Their Model Context Protocol (MCP) connectors provide reliable workflow execution with features like automatic retries, structured output validation, and LangSmith observability, enabling 24/7 operation and eliminating bottlenecks for lead‑driven and operations‑heavy teams.

Austin, United States110+ followers
Updated 28 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many organizations rely on manual processes and fragmented tools to manage CRM, ERP, billing, and support workflows, leading to missed follow‑ups, data inconsistencies, and operational bottlenecks. Existing automation solutions often lack reliable AI orchestration, error handling, and observability, making them unsuitable for production environments.

Solution

Agentic AI delivers production‑grade agentic AI and automation that connect large‑language‑model agents, such as Anthropic Claude, directly to live business platforms through its Model Context Protocol (MCP). MCP connectors go beyond simple CRUD operations, enabling AI agents to execute real workflow actions with automatic retries, structured output validation, and full observability via LangSmith. The system is built on battle‑tested technologies like LangGraph, LangSmith, and a modern stack (Node.js, Python, PostgreSQL, Redis, AWS) to ensure reliability and scalability. Agents operate continuously, handling hundreds of thousands of unified records and providing human‑in‑the‑loop guardrails when needed. This approach removes routine manual work, improves data quality, and keeps sales, operations, and support teams focused on high‑value activities.

Target Audience

Primary customers are mid‑size to enterprise businesses that need AI‑driven automation for sales, CRM, ERP, billing, and support workflows, including operations teams, sales enablement groups, and regulated industries such as legal and healthcare.

Features

  • Model Context Protocol (MCP) connectors that link Claude and other LLM agents to CRMs, ERPs, billing systems, and support queues
  • Production‑ready orchestration on LangGraph with automatic retries and structured output validation
  • End‑to‑end observability and debugging through LangSmith dashboards
  • Multi‑agent orchestration with hand‑offs and human‑in‑the‑loop approval guardrails
  • Self‑hosted, model‑agnostic deployment options for on‑prem or cloud environments
  • Pre‑built agentic AI solutions for sales & CRM automation, lead scoring, personalized outreach, and pipeline intelligence
  • Scalable architecture handling 24/7 operation of 100+ MCP tools and over 460 K unified records
This profile is AI-generated and may contain inaccuracies.