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Redefine what's
possible
- 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
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KPI Partners Enterprise AI Offerings
GenAI Solutions
Design and deploy secure enterprise copilots, NLQ capabilities, and search experiences powered by trusted data and built with governance, accuracy, and access controls.
Agentic AI
Autonomous AI agents that execute multi-step business workflows across enterprise systems — with embedded controls, auditability, and human-in-the-loop governance.
Data Science & ML
Production-ready machine learning models with explainability, continuous monitoring, and enterprise-grade MLOps for long-term operational reliability.
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.
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.
Our Proven Enterprise AI Deliverables
Each use case is delivered through a proof-of-value in 4–6 weeks, followed by a scale roadmap.
Customer Sentiment Analysis
Turn customer interactions into real-time sentiment insights that drive proactive engagement and retention.
BI augmentation with natural language insights
Ask business questions in plain language and get instant, actionable BI insights—no dashboards required.
Agentic claims and reconciliation automation
Automate claims processing and reconciliation with intelligent agents that reduce cycle time and errors.
Autonomous supply chain and inventory agents
Enable self-optimizing supply chain and inventory operations powered by autonomous AI workflows.
Enterprise knowledge and decision copilots
Empower teams with AI copilots that deliver trusted, context-aware answers across enterprise knowledge.
Predictive analytics and risk intelligence
Anticipate risks and opportunities with predictive intelligence built on governed enterprise data.
Our Impact Across Industries
AI That Delivers Real Outcomes
Food Service
AI-driven data extraction and analytics for faster decisions and lower overhead.
Automotive Retail
Implemented pricing analytics, delivering accurate lift insights and improved ROI.
Semiconductor Manufacturing
Centralized GenAI platform enabling secure, personalized workflows and actionable insights.
Supply Chain
AI-driven supply chain analytics for real-time insights and optimization.
Success Stories
Reduced claims turnaround using AI-driven workflow automation, improving speed and consistency across operations.
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Global Financial Services Leader
Enabled self-service access to ERP and analytics using governed GenAI, reducing IT dependency and improving decision speed.
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Leading U.S. Beverage Manufacturer
Improved reliability through predictive intelligence and root-cause analysis embedded into operational workflows.
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Global Manufacturing Leader
WHY KPI PARTNERS
Your Partner for Enterprise AI Success
We combine deep technical expertise with a relentless focus on business outcomes, helping enterprises move from AI experimentation to transformational impact.
Outcome-first Enterprise AI strategy
Enterprise AI strategy focused on measurable business outcomes from day one.
Strong data engineering and analytics foundation
Deep data engineering and analytics expertise that powers reliable AI foundations.
Proven accelerators that reduce time to value
Pre-built accelerators and patterns that significantly reduce time-to-value.
End-to-end delivery from strategy to operations
Complete ownership from strategy through deployment to ongoing operations.
Deep cloud and ecosystem partnerships
Deep partnerships across major cloud and AI ecosystem providers.
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 🔗

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.
