Explore Our AI Engineering Services
Six capabilities that take an AI initiative from the first workflow to operating at scale.
All Capabilities
FAQs
Common Questions About Our AI Solutions
What AI engineering capabilities does INSNAPSYS offer?
INSNAPSYS runs six AI engineering capabilities, covering everything from a first workflow to full-scale operation: Agentic AI Systems, RAG & Knowledge Platforms, AI Workflow Automation, LLMOps & Production Engineering, AI Chatbots & Assistants, and MCP Servers & AI Integrations.
What frameworks do INSNAPSYS's agentic AI systems use?
Multi-agent workflows built on LangGraph, CrewAI, and AutoGen, with state management, tool use, human checkpoints, and the observability that production requires.
What is an MCP server, and why does INSNAPSYS build them?
Model Context Protocol servers that expose internal systems (CRM, CMDB, ERP, databases) as secure, permissioned tools any AI client can use. Build the integration once, and every assistant and agent that follows can use it without a new integration project.
What does LLMOps & Production Engineering cover?
The operational infrastructure that makes AI systems observable, measurable, and improvable after launch: evaluation pipelines, guardrails, cost control, and the monitoring that surfaces issues before your users do.
Ready to Start?
Build an AI Strategy Your Team Can Act On
Start with a two-week Discovery Sprint. We map your highest-value workflows and deliver a prioritised pilot roadmap with clear reasoning behind every recommendation.
