Secure Enterprise AI Platform: Overcoming Key Challenges

Client Overview

The client is a multibillion-dollar, growth-oriented independent oil and gas firm specializing in the acquisition, development, and operation of long-life assets. With a focus on operational excellence and innovation, the client sought to harness AI as a driver of efficiency, collaboration, and insight.

Customer Challenge

The client’s workforce had begun experimenting with AI tools independently, creating fragmented “AI silos” across the organization. Without a centralized strategy or sanctioned platform, management faced key obstacles:

Inconsistent and unsecure use of AI across business units

Lack of a unified, approved method for AI enablement

Missed opportunities for collaboration and shared knowledge

Concerns about data security in unsanctioned AI usage

The strategic need was clear: create a single, secure, and scalable AI environment that could empower 1300 users, streamline collaboration, and protect sensitive business data.

Ness Solution

Without an effective AI strategy, the client risked

Fragmented adoption leading to inefficiencies and duplicate work
Security vulnerabilities from uncontrolled AI usage
Loss of competitive advantage in research and sustainability initiatives
Inability to scale AI adoption effectively across the enterprise

The urgency was amplified by the company’s growth trajectory and the demand for rapid insights into sustainability, competitive benchmarking, and market intelligence.

Key initiatives

Chat Engine Rollout

Curated prompts routed to the most appropriate AI model, ensuring optimal responses.

Ephemeral Prompting

Guaranteed chat security by preventing data persistence.

Prompt Library

Introduced a shared repository for personal and team prompts, fostering collaboration and reuse.

Document Translation

Enabled seamless translation of PDFs, PowerPoints, and other documents into native languages, preserving full formatting fidelity.

Deep Research Automation

AI-powered “researchers” kept users up to date with critical insights, from sustainability to competitive trends.

Training & Enablement

Rolled out structured video training to onboard all 1300 users effectively.

Tools and Capabilities

Managed AI Layer (integrated with enterprise security)
Prompt Library for collaboration
Automated translation capabilities
AI-powered research workflows
Change management, training, and adoption framework

Business Outcomes

The client partnered with KKR & Ness to deliver a managed AI layer that provided secure, centralized, and collaborative AI access.

Widespread Adoption

1300 users integrated AI into their daily workflows.

Fostered knowledge sharing and accelerated internal processes.

Enhanced Insights

Delivered deep research into sustainability and competitive benchmarking.

Secure AI Enablement

Provided sanctioned, centralized access to leading AI models while safeguarding data.

Productivity Gains

Enabled faster decision-making, improved translations, and streamlined research efforts.

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