Agentic Semantic Layer White Paper - ThoughtSpot AI Guide

According to Gartner, by 2028, 60% of agentic analytics projects relying solely on MCP will fail due to the lack of a consistent semantic layer.

If your agentic analytics strategy runs on MCP alone, you're in the majority—and that's the problem.

This white paper shows you how to build the semantic foundation that keeps your agents from guessing.

You’ll learn:

How to audit, build, and govern a semantic layer that scales with your agents
How to avoid hallucinations and give business users answers they can trust
What OSI (Open Semantic Interchange) mean for your strategy

Get the guide and put governed answers behind every agent in your org.

ThoughtSpot Agentic Analytics Platform

Analyst Studio

Data Mashups, Data Science,
Python Notebooks, Ad Hoc SQL Analysis

Semantic Model

Trusted & Secure Metrics Layer, Agent-ready
Metadata, Data Security

Data Management

Real time, Zero Copy or In-Memory,
Unified Metadata and Compliance

AI Agents

Spotter - Agentic AI Analyst,
Deep Research, Agent as a Service

AI-Augmented Dashboards

AI-first, Mobile-ready, Automated Insights,
Connected Where You Work

Smart Apps

Embedded Analytics for your customers, Insights to
Actions, APIs and SDKs, Workflow Automation

Smart Apps

Automated
Insights

Data Hub

AI Agents

AI Augmented
Dashboards

Smart Apps

The most successful companies use ThoughtSpot