An AI-ready data layer for enterprise agentsThe goal: one AI-ready data layer that every business unit can build agents on, with each unit keeping control of its own definitions, access and audit. Squid generates a grounded AI ontology from theSep 28 · 12 min readsquidcloud.hashnode.dev
The Four Layers That Enable AI to Reason and Act Across Enterprise Data In large enterprises, critical business knowledge is rarely stored in one place. It’s distributed across dozens of operational systems, data warehouses, APIs, documents, and dashboards. As a result, aApr 9 · 10 min readsquidcloud.hashnode.dev
Automating Document Compliance in Wealth ManagementIndustry: Wealth Management / Financial ServicesCompany Profile: Enterprise wealth platform with in-house custody operationsPrimary Use Case: Document Governance, Template Compliance, Version Control The Challenge A large wealth management platform s...Jan 7 · 3 min readsquidcloud.hashnode.dev
Case Study: Accelerating Sales and Deal Desk Operations with Agentic AIIndustry: Enterprise Sales / Revenue OperationsCompany Profile: Publicly traded cloud communications platformPrimary Use Case: CRM Automation, Deal Desk Enablement The Challenge A publicly traded enterprise communications platform processing millions...Jan 5 · 4 min readsquidcloud.hashnode.dev
Case Study: 80%+ Faster Issue Diagnosis for a Global Connectivity PlatformIndustry: Connected Devices, IoT, MobilityCompany Type: Global SaaS connectivity providerPrimary Use Case: Technical Support Engineering & Incident Diagnosis The Challenge A global SaaS provider powering connectivity for connected vehicles, IoT devic...Jan 2 · 4 min readsquidcloud.hashnode.dev
