Operationalizing AI across your Enterprise

Path Infotech is heading to Oracle AI World 2026 to turn AI ambition into measurable enterprise impact-across workflows, systems, and operations. Let's connect and explore what's possible for your enterprise.

The Venetian Convention Center, Las Vegas
October 25-28, 2026
Booth #6043
AI
Why Now

The AI gap isn't talent or models. It's the layers underneath.

Many enterprises have accelerated AI adoption at the application layer, yet the underlying technology landscape remains largely unchanged. As a result, promising AI initiatives often struggle to progress from experimentation to production. Enterprise AI cannot operate in isolation — it must be supported by data that is accessible and governed, infrastructure that is observable and scalable, databases that are AI-ready, and integration layers capable of connecting intelligence across the enterprise.

“The next phase of AI is not about adding intelligence to individual applications. It is about building an enterprise stack designed to operationalize it.”

Database

Where enterprise truth resides. Governed, conversational access to enterprise data — enabling faster decisions without traditional query constraints.

Infrastructure

Where resilience is engineered. Systems that monitor, detect, and anticipate issues — helping prevent disruption before it impacts operations.

Middleware

Where enterprise systems connect. Intelligent integration and routing keep data, context, and processes flowing seamlessly across the enterprise.

Applications

Where business outcomes are delivered. AI embedded across claims, RFPs, procurement, and approvals — transforming workflows, not adding another tool.

Putting AI to work inside the enterprise stack you already run every day.

Production-grade AI, engineered by Path Infotech- turning high-friction, high-volume enterprise processes into fast, governed, reliable workflows.

Supplier Lifecycle Management

Supplier lifecycle management, finally unified.

Next-gen supplier lifecycle management — self-service onboarding & compliance, catalogue and PO collaboration, invoice capture with 3-way matching and ERP posting, plus performance & risk scorecards.

Result: Faster onboarding & payments, stronger governance, healthier supplier relationships end to end.

Supplier Lifecycle Management

Ask your enterprise a question. Get a governed answer.

Secure, RBAC-governed semantic search & conversational AI over enterprise documents, with citation-backed answers — plus plain-English NL2SQL over your governed databases, fully audit-logged.

Result: Faster policy & data discovery in seconds, less dependency on IT/BI teams, trusted & auditable answers.

Supplier Lifecycle Management

AI-powered invoicescanning.

Simply upload, extract, validate, and route for approval-then sync seamlessly with your ERP. IntelliDocAIEW integrates with your existing ecosystem with zero disruption, enabling data to flow effortlessly through standard APIs, powered by AI and built for enterprise workflows.

Result: Up to 80% faster processing, 90%+ extraction accuracy, fewer manual errors.

AI-Powered RFP Processing

Smarter RFPs, Faster Decisions

Weeks of manual reconciliation, replaced. This reads every RFP and vendor response, extracts the evaluation logic, and scores answers against it directly - weightings, thresholds, tie-breakers, all automatic, every decision logged.

Result: 50%+ faster evaluations, a fully traceable record, one dashboard instead of a folder of spreadsheets.

AI-Powered Claims Processing

Streamline Healthcare Claims End-to-End

Claims hide their errors in policy fine print, exclusions, and medical records buried in scans nobody has time to read closely. This reads and interprets every claim, validates it against policy and coding rules, catches fraud and billing anomalies, and settles payout automatically

Result: Faster, error-free claims cycles with fraud and compliance checks built in, and a full audit trail from intake to payout.

AIOps

From reactive support to intelligent operations.

AI enabled managed services that shift infrastructure, database, cloud, middleware, NOC, and SOC support from reactive incident response to predictive, automated operations - all under one accountable model.

Database
Oracle | MySQL | Open-Source Databases
Cloud
OCI | Azure | AWS | Hybrid & Multi-Cloud

Result: 40% lower IT ops cost, 5x faster resolution, 99.95% uptime SLA, sub-15-minute P1 response.

One Partner full stack

ORACLE

Fusion Applications

ORACLE

E-Business Suite

ORACLE

Generative AI

ORACLE

Integration

ORACLE

AI Database 26ai

ORACLE

Cloud Infrastructure

ORACLE

AI Data Platform

ORACLE

Multicloud

How We Turn AI Strategy Into AI in Production

AI does not become enterprise-ready at the application layer — it becomes enterprise-ready when architecture, data, applications, and operations are all designed to work with it. That's the lens through which we approach AI, grounded in four areas where that integration matters most.

AI-Native ERP

Intelligence within the enterprise core.

AI and agentic capabilities across Oracle Fusion and E-Business Suite, embedded within the business systems where enterprise processes and data reside.

AI for Operational Efficiency

Intelligence applied to high-value workflows.

Intelligent automation for processes where scale, accuracy, and faster decisions drive business impact.

AI-Accelerated Engineering

AI embedded across the delivery lifecycle.

Applying AI across software engineering and modernization to improve development velocity, engineering quality, and the ability to deliver at enterprise scale.

AIOps for Managed Services

Operations designed for continuous intelligence.

AI-driven observability, correlation, and root-cause analysis across infrastructure, database, cloud, and middleware — moving operations from incident response toward proactive service management.

Who should Connect with Us

CIOs & CTOs

turning AI strategy into an enterprise-scale roadmap

CFOs & Finance Leaders

driving measurable ROI through AI-led efficiency and automation

AI & Digital Transformation Heads

moving AI initiatives from pilot to production

Enterprise Architects

building an AI-ready stack across every enterprise layer

Procurement & Ops Leaders

automating supplier, invoice, and process-intensive workflows

Connect with the Path team at Oracle AI World 2026.

Come exchange perspectives on enterprise AI, modernization, and what it takes to move from strategy to production.

Pankaj Ratra

Director, Business Development & Marketing

Vishal Aggarwal

Vice President-Cloud & Platform Management

Prabir Kundu

Asst. Vice President- Cloud & Platform Management

Ronald Carlson

Director-Business Development

Aruna Agrawal

Asst. Vice President- ERP and AI Pre-Sales

Vincent Chua

Oracle Business Head

Paritosh Goel

Asst. Vice President-ERP

Let's talk about where your AI actually needs to live.

Let's explore it together at Oracle AI World 2026 - from AI-ready architecture and Oracle modernization to intelligent workflows and AIOps.