The Enterprise Guide to Governed Agentic Analytics
A step-by-step walkthrough of how to deploy agentic analytics on your existing warehouse while keeping data residency, audit trails, and role-based access intact.
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agentic analytics works.
Guides, webinars, reports, and customer stories - all grounded in how Quaeris delivers audit-ready answers from your warehouse, without data ever leaving your perimeter.
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1212 Resources available
44 In-depth guides
33 On-demand webinars
33 Original research reports
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Every guide, webinar, and report is grounded in real Quaeris architecture - no generic AI content.
Live Demo: Semantic Layer + MCP in 30 Minutes
Watch how finance teams connect their warehouse, define certified metrics, and get audit-trail answers from natural-language questions - all in a single session.
Watch nowState of Agentic Analytics in Finance - 2026
Original survey research across enterprise finance teams: adoption rates, governance gaps, and the data quality issues blocking AI analytics from board-level trust.
Download reportHow a Global FP&A Team Cut Month-End Close by 3 Days
A controller team used Quaeris to replace a 5-day manual reconciliation cycle with a single governed query - with full GL lineage exported for the auditors.
Read the storyBuilding a Semantic Layer for Warehouse-Native Analytics
A practical guide to defining, versioning, and governing certified metrics directly above Snowflake, BigQuery, or Databricks - without copying data.
Read the guideAudit-Ready AI: How to Keep Every Answer Traceable
A 45-minute session walking through Quaeris's lineage architecture: how query lineage is automatically captured from question to GL root, and exported for regulators.
Watch nowThe Data Governance Maturity Model for AI-Ready Enterprises
A five-stage framework for assessing whether your organization's metric definitions, lineage practices, and access controls are ready to underpin agentic AI safely.
Download reportSOX, EU AI Act, and Your Analytics Stack: A Compliance Playbook
How to map your AI analytics deployment against SOX §302/§404, EU AI Act Article 13 transparency obligations, and SOC 2 Type II requirements - with a reusable checklist.
Read the guideMCP Protocol + Quaeris: Connecting Enterprise Tools to Your Semantic Layer
A technical walkthrough of how Quaeris exposes a certified MCP endpoint - enabling agents in Slack, Notion, and Excel to query governed answers from your warehouse.
Watch nowEnterprise AI Analytics: Build vs Buy vs Govern
A cost and risk analysis of the three paths enterprise analytics teams take - building custom LLM pipelines, buying off-the-shelf tools, or deploying a governed platform above the warehouse.
Download reportBoard-Level Variance Analysis in 60 Seconds: A CFO's Story
A CFO describes the board meeting moment that changed how their finance team runs analytics - from a two-day SQL sprint to a governed Quaeris query answered live in the room.
Read the storyAgentic Analytics vs BI Tools: When to Use Each
A decision framework for data and analytics leaders evaluating where governed agentic analytics fits alongside their existing Tableau, Power BI, or Looker investment.
Read the guideFeatured Resource
Our most comprehensive guide.
In-depth guide · 45 min read
The Complete Blueprint for Governed Agentic Analytics
Deep-dive guide
From semantic layer to board-ready answer: how to deploy AI analytics your auditors will trust.
This guide walks through every layer of a governed agentic analytics deployment: warehouse-native architecture, semantic layer design, certified metric versioning, role-based access, audit lineage, and MCP integration. Written for CDOs, heads of analytics, and data engineering leads.
Estimated read time45 min
01Why governance is the prerequisite for agentic AI8 min
02Designing a warehouse-native semantic layer10 min
03Certified metric versioning and ownership9 min
04Audit lineage: from question to source system10 min
05MCP integration and multi-tool orchestration8 min
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