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
Data governance companies help organizations manage data as a controlled, reliable asset, covering access policies, compliance reporting, data quality, and lineage tracking. Most enterprises reach a point where internal teams can no longer manage this at scale, and that’s when a specialist partner makes the difference. Getting this wrong is expensive. Citigroup has spent over $7.4 billion since 2021 on data
RPA tools are software bots that handle repetitive, rule-based work (data entry, invoice processing, report generation) without needing changes to your existing systems. In 2026, the category has matured well past basic scripting. The leading platforms now layer in AI, so bots can read unstructured documents, handle exceptions, and make decisions in real time. UiPath holds the top enterprise spot,
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.
