3 common AI use cases to steer adoption success

Over the course of this blog series, we’ve explored the essential stages that underpin a successful AI journey – from building a clear AI roadmap to guide adoption, to developing a strong data strategy, ensuring security your AI (and the data it uses), and building user confidence to ensure AI delivers meaningful results.

Each of these steps provides a crucial building block in an effective AI strategy. But establishing AI readiness is only part of the equation. The rest lies in understanding where AI can deliver the most business value by finding the right use cases that will drive long-term adoption and future strategic initiatives.

Lenovo Hybrid AI Advantage™ with NVIDIA speeds up this process through a flexible framework that combines Lenovo AI infrastructure and devices with NVIDIA AI software, accelerated computing, and networking. It enables the rapid customisation of use cases from the Lenovo AI Library and supports the development of new AI agents and assistants, which can be tailored by function or vertical to address your complex business challenges with reduced risk and faster time-to-value.  

No two businesses are the same, so their application of AI will naturally differ, even if the fundamental use case is the same. What delivers transformative impact for one organisation may only have marginal benefits for another. Unfocused deployments often experience feature bloat – trying to deliver everything to all users but struggling to perform any one function to a good standard. A successful AI strategy starts by identifying use cases that align closely with business priorities, address common user challenges, and leverage readily available data.

These three common use cases help AI deliver maximum value and remain relevant across business teams:

• AI assistants that support users with day-to-day administrative actions.
• AI-powered data processing that turns detailed business data into actionable insights and compiles reports for decision making.
• AI-powered business process automation that streamlines repetitive tasks and helps organisations scale operations more efficiently. 

Each use case represents a different way AI can help your business succeed and provides a starting point for defining your AI strategy. 

AI assistants are one of the most immediately accessible ways to introduce AI and have already seen widespread utilisation through tools like Microsoft Copilot. These tools take advantage of generative AI capabilities to handle day‑to‑day tasks like information retrieval, document summarisation, or content generation.

These assistants are most effective when integrated into existing workflows. As long as they’re able to access relevant business data, they can provide responses and insights tailored for the unique context of your business, and reference human-written content to match your organisation’s tone of voice.

The value lies in time saved and focus gained. When routine admin work is handled by an AI assistant, users can focus on higher‑value activities – creative work, strategic planning, and decision‑making. These tools can even support customer service teams, surfacing useful information and helping to guide engagements to ensure a positive outcome, with the potential of reducing handling times by an average of 20% and shifting up to 40% of traffic from high-cost channels to more efficient self-service options, significantly boosting productivity and customer satisfaction.  

Lenovo Hybrid AI Advantage™ with NVIDIA simplifies the deployment of AI use cases and AI agents, which use reasoning models to walk through each step without needing immediate human intervention. This makes it easier for users to delegate whole tasks to the agentic assistant. The Lenovo and NVIDIA content generation solution, for example, has enabled teams to achieve up to eight times faster asset development cycles and reduced new product launch costs by as much as 70%, demonstrating the tangible business impact of AI-powered content agents.  

While AI assistants are generally useful across all types of business, they can be especially useful for organisations with a lot of specialist users, like those in the media and entertainment sectors. AI assistants help creatives focus on the requirements of their role, while the assistant tackles everyday tasks like monitoring emails and summarising meetings. 

We’ve already touched upon the importance of data as a foundation for AI, but what we’re yet to explore is the analytics value AI can bring to business data – driving more effective decision making, guiding long-term strategy, and helping to support marketing, sales, and customer support functions. Data is a powerful resource, but the sheer volume of data being collated and stored by many organisations is overwhelming. AI tools can help make business data more manageable, processing, classifying, and analysing information at scale, while using generative capabilities to provide digestible summaries to users.

AI‑driven data processing can automatically scan large datasets, identify key trends, and flag potential issues in minutes. This speeds up reporting, giving leaders a clear, real‑time picture of what’s happening across the business. A proven solution for AI-powered data orchestration, developed by Lenovo, Centific, and NVIDIA, enables organisations to efficiently manage complex data pipelines, accelerate real-time analytics, and ensure seamless processing across diverse environments.  

Lenovo’s high-performance infrastructure – featuring prevalidated configurations, ThinkShield™ security, responsible AI frameworks, integrated governance, and AI-powered data orchestration – helps you safely manage large-scale AI with confidence, efficiency and speed. Combined with Lenovo XClarity One, an AI-powered cloud platform for secure, compliant infrastructure management, you have a stronger foundation for faster, smarter decision-making and scaling your AI strategy.  

Businesses with large repositories of data are the best placed to capitalise on AI for data processing, especially if that data is structured or properly organised to enable smoother AI interactions. eCommerce businesses, for example, can use AI to process the data their storefronts generate, creating easily digestible reports that help to guide future releases, understand customer challenges, and prioritise technical upgrades. 

Business process automation is far from a new concept, but AI-driven capabilities make it easier than ever to deploy and expand the range of workflows that can be successfully automated. With the capability to understand natural language, apply reasoning, and adapt to new information, business automations can expand across common workflows, improving efficiency by reducing the intensity of human input.

Crucially, however, this doesn’t completely remove the need for human intervention. Successful AI-powered automation is often based on a “human in the loop" concept that ensures human oversight over AI outputs to ensure quality, consistency and accuracy before any AI-generated output is shared with customers.  

As an example, AI‑enhanced automations can help users manage and close off support tickets, automatically generate reports, and organise information from diverse inputs. The AI can extract the relevant information from a customer email, phone call, or chat message to generate a support ticket, field the enquiry to the relevant team, log any actions, and create a final report once the ticket is closed, helping to surface the relevant details to a human and supporting throughout, but without taking on complete responsibility for ticket resolution.

AI-powered business process automation has its most profound impact in organisations that already have standardised procedures for common workflows – such as large-scale customer service operations. AI can be trained on these procedures like a human user would be, allowing them to be introduced without radically rethinking wider business operations. Deployed correctly, these tools can help existing staff improve their productivity, assisting them with content generation, data summarisation, and advanced search capabilities exactly when they’re needed.

With Econocom as your partner, we combine our expertise with Lenovo and NVIDIA’s innovative hybrid AI solutions to deploy AI agents and assistants that address your most critical workflows, making business automation tangible. Whether you’re looking to improve productivity, streamline customer support, or unlock the value in your data, Lenovo and NVIDIA provide the expertise, tools, and pre-validated use cases to power AI, while we help you make it real. 

The most successful AI strategies start small and scale confidently. By focusing on a single, well‑defined use case – whether that’s an AI assistant to support your users, AI tools to accelerate data processing, or AI-powered business automation to streamline operations – you can demonstrate clear value and build a business case for wider AI deployment. Lenovo’s Hybrid AI Advantage™ with NVIDIA framework includes production-ready use cases that are validated and tested in real-world environments, helping you break down the barriers to ROI from AI by reducing risk, speeding deployment, and enabling you to scale across edge, cloud, and data centre environments.  

We can help you find the right starting point through our Ideation Workshops. Backed by Lenovo and NVIDIA, these practical, expert‑led sessions turn your plans into action. Book yours today and start preparing your AI strategy with a focus on use cases that show your team, your users, and your business as a whole the value that this technology can deliver.