Most companies have adopted AI and most are running it somewhere, but enterprise AI adoption at production scale is a different challenge from running a pilot. Getting it to run reliably, safely, and with measurable business return is a different problem entirely, and that is what 161 documented enterprise engagements between 2015 and 2026 reveal. Kanerika’s State of Enterprise AI
TL;DR Data governance companies help enterprises keep data accurate, compliant, and well-managed — covering data quality, cataloging, lineage, access control, and regulatory reporting. The 15 leading 2026 providers differ by strength: some specialize in compliance, others in Microsoft Purview implementation, cataloging, or industry-specific rules. The right partner depends on your regulatory exposure, existing platform (especially Microsoft ecosystem depth), and whether
TL;DR The best RPA tools in 2026 are led by UiPath for enterprise-grade automation, while Microsoft Power Automate is the most widely deployed because it ships with Microsoft 365; the right pick depends on your existing stack, budget, and how much AI-driven document handling you need. Modern platforms now read unstructured documents, handle exceptions, and make decisions in real time
FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika
Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study
Enhancing Brand Compliance and Approval Workflows with Conversational AI
Building an AI-Powered Compliance Platform That Scales Across Jurisdictions
Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study
Enabling Faster Insights with Informatica to Microsoft Fabric Migration
How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer
How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study
Enhancing Decision-Making and Reducing Costs with Power BI.
