For Global System Integrators (GSIs), the promise of Generative AI (GenAI) is immense, yet the path to truly operationalizing it for clients has often felt like navigating a complex maze.
Many GSIs have invested heavily in internal platforms, task forces, and workshops, only to find their sellers still waiting for demo-ready solutions and their clients questioning the tangible value beyond a Proof of Concept (PoC).
The clock is ticking, and the market demands real-time, agentic, decision-making systems that are built, sold, and shipped in weeks, not quarters.
This is where Lyzr steps in.
We’re seeing a fundamental shift in how leading GSIs are approaching GenAI.
They are moving beyond theoretical discussions and internal experimentation to actively build and deploy production-ready AI agents that generate real revenue and deliver measurable impact for their clients.
This article will explore the prime use cases that top GSIs are implementing on Lyzr, showcasing how they are transforming their GenAI practices and setting new benchmarks for speed, security, and tangible outcomes.
The GSI Imperative: From PoC to Production
The traditional GSI model, focused on consulting, transformation, and delivery, is evolving.
While internal GenAI platforms are a necessary foundation, they often fall short as direct revenue channels.
The challenge lies in bridging the gap between internal capability and client-facing, billable solutions.
This is the “innovation maze” that many GSIs find themselves in:
- Internal Platforms vs. Client-Facing Solutions: Many GSIs have robust internal GenAI platforms, but these are frequently behind schedule, lack client-ready assets, and don’t directly translate into new revenue streams.
- The “Pilot Purgatory”: Clients are tired of endless pilots that fizzle out without delivering concrete ROI. They demand solutions that move from prototype to production swiftly and securely.
- Speed-to-Market: The pace of GenAI innovation is relentless. Waiting for internal platforms to “finish baking” means falling behind competitors and missing critical market opportunities.
- Tangible Value: Clients need to see and experience the value of GenAI, not just hear about its potential. Demos that open wallets are far more impactful than strategic decks.
Lyzr provides the shortcut. It’s the platform that enables GSIs to bypass the internal maze and directly build, deploy, and scale agentic AI solutions that are production-ready, fast, and secure.
This allows GSIs to productize their GenAI expertise, generate new revenue channels, and solidify their position as leaders in the AI-first era.
Prime Use Cases Driving GSI GenAI Practices on Lyzr
Leading GSIs are leveraging Lyzr to build a diverse range of AI agents that address critical business challenges across industries and functions.
These are not just bots; they are intelligent, reasoning, and adaptive systems that orchestrate complex tasks, deliver insights, and automate decision-making.
Here are the most prominent use cases that GSIs are actively building on Lyzr:
- Accelerating Go-to-Market & Marketing Operations: Streamlining content creation and campaign execution for faster market entry.
- Transforming Core Industry Workflows: Automating complex, legacy processes in highly regulated sectors like finance and healthcare.
- Enhancing Strategic Advisory & Due Diligence: Providing AI-powered insights for critical business decisions like mergers and acquisitions.
- Ensuring Ethical & Culturally Sensitive Product Development: Mitigating brand risk by integrating cultural intelligence into product design.
- Revolutionizing IT Operations & Incident Management: Proactively predicting and resolving IT issues to minimize downtime and improve service.
- Empowering Knowledge & Research Access: Delivering instant, accurate insights from vast content archives for clients and internal teams.
Let’s dive into how specific GSIs are leveraging Lyzr to bring these transformative use cases to life.
Lyzr in Action: Case Studies from Leading GSIs
Hitachi: Streamlining Marketing with AI Agents
The Problem: Hitachi, a global technology and industrial leader, faced the challenge of streamlining its extensive marketing operations and accelerating go-to-market (GTM) efforts.
Manual processes for creating marketing collateral, especially case studies, were time-consuming and often became bottlenecks, slowing down their ability to showcase successes and capture new business.
Lyzr’s Solution: Hitachi deployed a suite of marketing agents on Lyzr, specifically focusing on automating the creation of case studies.
These agents are designed to ingest raw project data, client testimonials, and performance metrics, then intelligently draft compelling case studies that highlight key outcomes and value propositions.
Impact: By automating the initial drafting and structuring of marketing content, Hitachi’s CMO office has significantly streamlined its operations.
This has led to faster content creation cycles, enabling them to accelerate GTM efforts and respond more rapidly to market demands.
Firstsource: Pioneering Agent Hubs for Vertical Transformation
The Problem: Firstsource, a global provider of business process management solutions, operates in highly regulated and process-intensive verticals like Healthcare, Banking, and Mortgage.
Many of their core operations were still reliant on legacy workflows, including Robotic Process Automation (RPA) bots, which often proved inflexible and slow to adapt to changing market conditions or regulatory requirements.
To maintain its competitive edge and avoid market share loss, Firstsource needed to move beyond these limitations.
Lyzr’s Solution: Firstsource is currently in the planning phase to build comprehensive Agent Hubs tailored specifically for its key verticals: Healthcare, Banking, and Mortgage. While specific use cases are still being scoped, the strategic intent is to replace rigid RPA with intelligent AI agents that can reason, adapt, and orchestrate complex, end-to-end processes.
Impact: By building these Agent Hubs on Lyzr, Firstsource aims to future-proof its operations, unlock new levels of efficiency, and deliver superior service in regulated industries.
This strategic move allows them to maintain their competitive edge by moving beyond the limitations of traditional automation to true agentic intelligence.
Accenture: Embedding Agentic AI Across Diverse Practices
The Problem: As a global consulting and technology powerhouse, Accenture faces a dual challenge: rapidly developing cutting-edge AI solutions for diverse client needs and enhancing its own internal operations.
In areas like industrial troubleshooting, manual analysis of vast data sources led to slow fixes, human error, and poor knowledge sharing.
In strategic areas like Mergers & Acquisitions, deal sourcing and due diligence were often lengthy and resource-intensive.
Lyzr’s Solution: Lyzr is deeply embedded across multiple Accenture practices, both internal and client-facing, enabling rapid development and deployment of multi-agent systems.
- Industrial AI: Accenture built an AI-Powered Troubleshooting Agent on Lyzr. This multi-agent system automates troubleshooting by pulling from diverse knowledge documents and APIs, generates custom step-by-step fix guides, and performs Root Cause Analysis (RCA) if the first fix fails, updating a central knowledge base.
- Mergers & Acquisitions: Accenture’s internal corporate venture arm is developing an agentic alternative to Pitchbook for deal sourcing and diligence, leveraging Lyzr to automate data gathering and analysis for investment opportunities.
- Broad Adoption: Lyzr is also being utilized across Media & Entertainment, BFSI, and other client-facing practices to deliver rapid prototypes and production-ready solutions.
Impact: For industrial clients, Lyzr has enabled reduced downtime, enhanced safety by minimizing human error in hazardous environments, and continuous improvement through automated knowledge sharing.
Across its practices, Accenture leverages Lyzr to move from prototype to pitch in under 48 hours, significantly accelerating client engagement and solution delivery.
Under Armour: Culturally Sensitive Product Innovation
The Problem: For a global brand like Under Armour, ensuring that product recommendations, color palettes, and design combinations resonate positively across diverse cultures and ethnic groups worldwide is paramount.
A misstep can lead to significant brand damage and alienate key markets.
Manually vetting every design for cultural sensitivity across all global communities is an immense and complex task.
Lyzr’s Solution: Under Armour is using Lyzr to ideate, validate, and refine product recommendations and color/design combinations.
Lyzr agents are trained on vast datasets of cultural norms, historical contexts, and community sentiments from around the world.
This allows them to proactively identify and flag potential conflicts or sensitivities, ensuring that new products are culturally aligned and inclusive.
Impact: Lyzr empowers Under Armour to innovate with confidence on a global scale. By embedding cultural sensitivity checks directly into the product development lifecycle, they ensure that their intelligence stays private and there is zero data leakage, while simultaneously protecting their brand reputation and fostering stronger connections with diverse consumer bases worldwide.
WTW (Willis Towers Watson): Scaling Personalized Retirement Planning
The Problem: As a global insurance and advisory leader, WTW provides complex services like retirement planning.
Delivering highly personalized retirement plans at scale, tailored to individual financial situations, goals, and regulatory environments, is incredibly resource-intensive and challenging to standardize without compromising quality.
Lyzr’s Solution: WTW is leveraging Lyzr Agents to offer personalized retirement planning at scale.
These agents analyze individual client data, market conditions, and complex regulatory frameworks to generate customized retirement strategies and advice, making sophisticated financial planning accessible to a broader client base.
Impact: Lyzr enables WTW to deliver highly personalized financial advisory services with unprecedented efficiency.
This not only enhances client satisfaction by providing tailored solutions but also allows WTW to expand its service reach, solidifying its position as a leader in global insurance and advisory.
NTT Data: AI-Powered Incident Prediction for Change Management
The Problem: NTT Data, a global digital business and IT services leader, manages massive datasets and thousands of daily change logs in its complex change management operations.
Manually reviewing these high-volume logs led to bottlenecks, potential oversights, and unpredictable incident risks.
Engineers struggled to proactively predict which changes might trigger incidents, and finding the right resolution guidelines from historical data was time-consuming.
Lyzr’s Solution: With Lyzr, NTT Data deployed a robust, AI-powered incident management solution.
This system combines machine learning for real-time risk prediction, vector similarity search for contextual understanding of historical incidents, and advanced generative models for actionable resolution guidance.
Impact: NTT Data achieved faster incident risk detection, proactive remedial recommendations, and a significant reduction in manual workload, saving over 70,000 hours.
This has led to improved response times, minimized incident fallout, and enhanced operational stability and compliance.
HFS Research: Transforming Research Access with AI-Driven Knowledge
The Problem: HFS Research, a leading global firm specializing in AI, automation, and digital transformation, faced challenges managing its massive content archive spanning videos, audio, PDFs, and webpages.
Clients struggled to find specific insights, wasting time sifting through lengthy documents. Existing tools offered basic search but lacked the scalability for future expansion.
Lyzr’s Solution: Lyzr built an advanced Retrieval-Augmented Generation (RAG) engine for HFS Research.
This engine instantly surfaces relevant answers from thousands of HFS assets.
Crucially, the Lyzr platform also provides a scalable framework to add new AI agents, enabling broader applications beyond just knowledge search, such as automating sales or HR functions.
Impact: HFS Research’s clients now get on-the-spot answers without digging through huge archives, significantly enhancing their experience.
The solution provides a future-ready platform, laying the foundation for expanding beyond search to automate other critical business functions.
The Future: Where GSIs are Heading with Lyzr
The engagements with these leading GSIs reveal a clear trajectory for the future of GenAI practices.
GSIs are not just looking for tools; they are seeking strategic partners like Lyzr to help them:
- Expand New Revenue Channels: By productizing AI solutions, GSIs are shifting from purely service-based models to offering recurring revenue streams through scalable AI agents. This opens up entirely new markets and client segments.
- Increase Geographical Presence: Lyzr’s platform enables GSIs to deploy AI agents globally with unprecedented speed and consistency, allowing them to expand their service footprint and deliver localized solutions without massive on-the-ground investments.
- Deepen Existing Customer Relationships: Offering cutting-edge, measurable AI solutions that solve core business problems increases client stickiness and positions GSIs as indispensable partners in digital transformation. They move from being vendors to strategic enablers of their clients’ AI journeys.
- Achieve Competitive Differentiation: In a crowded market, delivering tangible GenAI results—not just PoCs—allows GSIs to stand out. Lyzr provides the “shortcut” to real, billable GenAI business, creating a powerful competitive advantage.
- Attract and Retain Top Talent: By working on real-world, impactful agentic AI projects that go into production, GSIs become more attractive to top AI/ML engineers and developers who seek to build and deploy, not just experiment.
- Drive Internal Efficiency and FOMO: The success of early adopters within a GSI creates a powerful “Fear Of Missing Out” (FOMO) effect, driving internal adoption and efficiency across business units. This virtuous cycle of innovation accelerates the overall GenAI practice.
The era of “forever beta” is over. GSIs are realizing that their internal platforms, while foundational, are not enough to capture the immense market opportunity of GenAI. They need a partner that can help them build, sell, and ship real-time, agentic, decision-making systems in weeks, not quarters. Lyzr is that partner, empowering GSIs to move from the maze of experimentation to the momentum of measurable, revenue-generating GenAI practices.
Are you ready to build your $100M GenAI practice? The future is agentic, and it’s being built on Lyzr.
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