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    Enterprise AI Built for Real Business Execution 

    Move beyond pilots to scalable business outcomes. KPI Partners delivers governed

    Enterprise AI built on trusted data to drive insight and execution. 

     

     

     

     

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Trusted By the Global Enterprises

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Why Enterprise AI Matters?
 
Enterprises are investing heavily in AI, but most initiatives stall at pilots. 
 
The challenges are clear:
 
  • Fragmented data that lacks governance and trust 
  • GenAI that performs well in demos but lacks enterprise context  
  • Insights that don’t translate into repeatable workflows or operational action 
KPI Partners solves these gaps with an execution model designed to move AI from experimentation to enterprise scale. 
 
 

 

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KPI Partners Enterprise AI Offerings

Our approach to delivering outcomes

KPI Enterprise AI Lab™

From POC to Production in 90 Days 

A structured, outcome-driven execution model to move Enterprise AI from experimentation to production without compromising governance, security, or performance. 

 

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KPI’s Enterprise AI Lab is a structured engagement model that ensures every POC is production-intent,

delivering measurable outcomes in weeks - not months.

 

Managed Services for Scalable Business Operations 

AI that runs continuously, so your business never slows

 

Handle end-to-end Enterprise AI, including AI agents, GenAI Applications, and models continuously with AI-based Managed Services by KPI Partners. Ensure uninterrupted business operations in a cost-effective, scalable, and secure way. 

 

Standard Enterprise

AI Engagement Model

 

AI Engagement Model

 

Why Our Enterprise AI Model Works?

 

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Our Partners
 
Enabling modern data platforms and lakehouse architecture for agile analytics and AI/ML workloads.
Snowflake Partner
 
As a Snowflake Premier Partner, KPI Partners accelerates legacy data migration to Snowflake with pre-built accelerators.
 
Empowering data and AI transformation with Azure, Power BI, and advanced cloud solutions.
KPI Partners Oracle-2-1
 
Providing enterprise BI and data integration solutions powered by Oracle’s analytics suite.
Google_Cloud
 
Accelerating cloud adoption with BigQuery, Vertex AI, and scalable data engineering solutions.
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Driving scalable cloud data and analytics solutions with AWS infrastructure and managed services.
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Enhancing CRM insights with analytics-driven decision support on the Salesforce platform.
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Transforming how users interact with data through powerful visualization and dashboarding.

Our Impact Across Industries

AI That Delivers Real Outcomes

Food Industry

Food Service 

AI-driven data extraction and analytics for faster decisions and lower overhead. 

 

Read the Case Study

Automotive

Automotive Retail 

Implemented pricing analytics, delivering accurate lift insights and improved ROI.

 

Read the Case Study

 

 

 

Semiconductor Industry

Semiconductor Manufacturing 

Centralized GenAI platform enabling secure, personalized workflows and actionable insights. 

 

Read the Case Study

 

Supply Chain Industry

Supply Chain 

AI-driven supply chain analytics for real-time insights and optimization. 

 

Read the Case Study

Data Platform Migration for Modern Analytics

 

KPI DataBridge Suite is designed to help enterprises modernize their data and analytics infrastructure across:
 
BI Modernization 🔗
Data Platform Migration 🔗
Data Products 🔗

 

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Explore Real-World
Data Platform Migration Case Studies

 


 

Ready To Operationalize Enterprise AI?

Move beyond pilots to scalable, enterprise-ready AI. Complete the form to get your free assessment.

FAQ – Enterprise AI

How does the Enterprise AI Accelerator help move AI from pilots to production?

The accelerator follows a structured path from readiness assessment to production deployment. Each use case is designed with production intent, ensuring it can scale without rework. 

How do you ensure enterprise governance, security, and compliance with AI solutions?

Governance, security, and data controls are built in from day one. We align AI deployments with enterprise security standards, access controls, and compliance requirements. 

What types of Enterprise AI use cases does the accelerator support?

We support GenAI, Agentic AI, and predictive analytics use cases. Common examples include enterprise knowledge copilots, workflow automation, decision support, and forecasting.

How is this different from standalone GenAI or chatbot implementations?

Standalone tools focus on interaction. Our approach embeds AI into enterprise data platforms and workflows with governance and measurable outcomes. 

How long does it take to deliver a production-ready Enterprise AI solution?

Most engagements start with a proof of value delivered in 4–6 weeks. Successful use cases then move into production and scale through a defined roadmap. 

How do you validate business value and KPIs during the engagement?

Each engagement is tied to clearly defined KPIs. We validate value during the proof of value phase before scaling. 

Can we start with a proof of value before scaling Enterprise AI across the organization?

Yes. We recommend starting with a focused proof of value to validate outcomes, risk, and effort before broader rollout. 

BI Platform Migration

GenAI Accelerators

Databricks Accelerators

4 Infrastructure Optimizer
5 Databricks Unity Catalog Enablement
Description Text is Optional
6 Data Quality Validator for Databricks
Description Text is Optional

Snowflake Accelerators

2 Oracle / SQL Server to Snowflake Migration
3 Snowflake Cost Optimization App
4 Snowflake Security Automation App
5 Snowflake Data Governance App
Description Text is Optional
6 Data Quality Validator for Snowflake
Description Text is Optional

KPI Data Products on Any Cloud

Microsoft Fabric Migration Accelerators

1 EDW (Snowflake, Redshift, Oracle/ADWC, Teradata, and Netezza) to Microsoft Fabric Migration Accelerator

Google Accelerators

1 Marketing Analytics and AI/ML  for GA
2 Oracle to BigQuery Migration Utility
3 Snowflake to BigQuery Migration Utility
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