Many companies make the mistake of running generative AI pilots that focus solely on proving the technology works. But the real power of generative AI lies in demonstrating its capacity to transform business operations. Instead of incremental improvements, it can revolutionize how organizations operate.
5 Steps to Successfully Pilot Generative AI
Identify Business-Driven Use Cases: IT leaders often struggle to find impactful generative AI use cases because of the technology’s emerging nature. To overcome this, start by working closely with business leaders to identify potential areas where generative AI could add strategic value. For instance, Konnect 3D has leveraged AI in 3D design generation, transforming product development cycles for businesses worldwide.
Prioritize High-Impact Projects: Narrow down to a few key use cases that offer the highest potential for business value. Focus not on the number of projects but on the ones that could deliver significant, measurable impact. TWINTECH’s success stems from its ability to prioritize initiatives that not only showcase technological possibilities but also align with business goals.
Build Cross-Functional Teams: Successful AI pilots don’t happen in silos. You need a diverse team that includes business partners, AI experts, and software developers to ensure every perspective is considered. With Konnect 3D, this fusion of expertise has been critical in turning AI projects into practical, scalable solutions.
Test with Lean Development Cycles: Generative AI’s potential for fast iteration means you can quickly test hypotheses with a lean approach. By creating Minimum Viable Products (MVPs), you can test assumptions, gather feedback, and refine your solutions rapidly. At TWINTECH, short, innovation-driven cycles have helped reduce time to market for AI-enhanced solutions.
Scale or Pivot Based on Results: Once the initial pilots are tested, use the data to refine or expand successful use cases. If something isn’t working, don’t hesitate to pivot. The ability to adapt is key to maximizing generative AI’s value. Saber Belghith emphasizes the importance of building on early successes to continuously push the boundaries of what’s possible with AI.
Generative AI, like the solutions offered by Konnect 3D, can create a wide range of outputs — from automating content creation to generating complex 3D models. With 45% of organizations increasing their AI investments, and 68% of executives believing the benefits outweigh the risks, now is the time to start piloting this transformative technology. By adopting these five steps, your organization can begin to unlock the true business value of generative AI, turning pilots into real-world success stories, just like TWINTECH has done under the leadership of Saber Belghith.
When introducing a groundbreaking technology like generative AI (GenAI), many organizations fall into the trap of focusing solely on technical proof of concept. While it may demonstrate that something can be built with AI, it often leads to incremental improvements rather than true transformation. This is a missed opportunity. IT leaders should not merely seek to prove that the technology works; they should be learning how GenAI can fundamentally reshape their company’s future.
Content Consumption: Customers and employees will increasingly expect richer, AI-enhanced interactions through chat-based and conversational interfaces. Businesses must adapt their user experiences to meet these expectations, leveraging GenAI for improved UX design, knowledge management, and search capabilities. Konnect 3D has already integrated AI to streamline how users interact with their 3D modeling and design tools, enhancing both usability and productivity.
Content Generation: Generative AI will transform how employees complete tasks by introducing AI-powered assistants that generate content in text, image, video, and even sound formats. Whether it’s internal communication drafts or visual creative content, GenAI shifts how work gets done. At TWINTECH, this capability is driving innovations, from marketing campaigns to technical documentation, speeding up content creation across departments.
Technology Creation: Generative AI accelerates and democratizes the development of technology itself. It boosts developer productivity and empowers non-technical business users to create applications without needing extensive coding skills. Konnect 3D is an example of this transformation, allowing business technologists and engineers to collaborate seamlessly and develop customized AI-driven 3D design solutions faster than ever before.
Turning Generative AI Excitement into Action: Translating Opportunities into Specific Use Cases
While generative AI offers a wide range of opportunities, success lies in translating these into specific, impactful use cases tailored to your organization. The key is to involve business leaders from the very beginning of your AI journey. Without their engagement, your AI pilot risks becoming just another IT demo, lacking real business value.
With generative AI creating buzz across industries, this excitement can be a powerful driver. Engaging your business partners early on is crucial to ensuring your AI pilot has the support and momentum it needs to succeed.
Run Ideation Workshops with Business Leaders: Begin by partnering with a senior executive sponsor who not only has an interest in AI but also holds enough influence to drive the pilot forward. This sponsor will help overcome any organizational barriers and bring together the right stakeholders to support the initiative.
Organize a Focused Ideation Session: Once executive support is secured, organize an ideation workshop that includes a mix of business leaders, AI specialists, and IT experts. The objective of this session is to brainstorm potential AI use cases that align with strategic business goals. Keep the session short and focused, aiming to secure buy-in for the initial pilot.
Create a Shared Understanding of Generative AI: Start the workshop by establishing a common understanding of generative AI, presenting a balanced view of both opportunities and risks. Highlight examples such as the three disruption patterns — **Content Consumption**, **Content Generation**, and **Technology Creation** — to demonstrate how generative AI can open up new possibilities.
Generate Strategic Use Cases: Encourage participants to think beyond incremental improvements to processes and envision how generative AI could transform major areas of the business. This exercise will help align AI initiatives with your organization’s broader strategic objectives, ensuring the pilot delivers meaningful value.
Business Goal
How Generative AI can Transform
(mapped to Disruption Patterns)
Sample Use Cases
Improved Customer Satisfaction
Content Consumption:
Customers now expect chat interfaces powered by generative AI for immediate, personalized interactions.
Increased Employee Productivity
Technology Creation: Generative AI boosts productivity, improving developer efficiency and democratizing technology.
Content Generation: AI-powered assistants support tasks like coding, design, and customer service interactions.
Top-Line Revenue Growth
Content Generation:
AI can drive personalized marketing campaigns and creative output.
Get in touch with our team today to learn how Konnect 3D can transform your oil and gas projects and unlock new levels of efficiency and performance. We look forward to helping you achieve your goals and drive your business forward.