Tredence hosted ‘The AI Foundry’, a first-of-its-kind developer-focused event, that brought together machine learning architects and data scientists for a practical exploration of agentic GenAI systems. The event, in collaboration with AIM, shifted the focus from theoretical discussions and product demos to a hands-on approach where attendees worked in teams to design autonomous systems for real-world business problems.
The event’s core theme was that GenAI is moving beyond simple question-and-answer functionality. The event began with visionary insights from CEO Shub Bhowmick, CRO Shashank Dubey and CSO Soumendra Mohanty. Together, they set the tone: GenAI is entering an era where AI agents don’t just answer questions; they take action. This shift demands deep engineering and domain understanding to make AI reliable and scalable.
Designing with Purpose
The centrepiece of the event was a design thinking workshop led by Soumendra Mohanty, where participants formed cross-functional groups to create agentic workflows for enterprise challenges, including retail replenishment, pricing optimisation, and supply chain routing.
Each design sprint focused on key aspects of system functionality, including agent orchestration, defining roles, timings and methods. One team designed an autonomous retail replenishment agent, while another focused on GenAI copilots for frontline worker scheduling. These projects were not just hypothetical; they were created as blueprints for future pilots.
An immersive AI Experience Centre at Tredence, led by Pavan Nanjundaiah from Tredence Studio, provided attendees with a look at advanced AI systems in action. Among the standout demos were a specialised agent designed to tackle retail merchandising decisions and an innovative auto-orchestration layer that seamlessly assigned tasks based on context and priority, optimising workflow efficiency.
Real-time observability dashboards offered insights into critical metrics, such as large language model (LLM) drift and task success rates, reinforcing the event’s emphasis on practical application and reliability.
Insights and Collaboration
AI Foundry stood in stark contrast to the typical barrage of PowerPoint presentations. It encouraged a hands-on innovation which allowed participants to touch, test and tweak cutting-edge generative AI tools. This interactive experience ignited an immediate sense of inspiration and a collaborative mindset, prompting a wave of enthusiasm to dive into building innovative solutions.
Team projects were recognised for their detailed and practical approaches. While one team used visual props to illustrate the user journey and architecture, another showcased a live-streamed user experience design. One focused on the software lifecycle, another was recognised for its attention to data ingestion architecture, and yet another team excelled in the data science aspects of its solution. One more team was highlighted for its user interface and observability.
The format of AI Foundry was effective because it directly engaged developers, allowing leaders to share their vision while engineers focused on practical execution. Attendees left with tangible design artefacts and architectural patterns they could implement within their teams.
A Blueprint for Agentic AI Delivery
The AI Foundry introduced a new operating model that empowers companies to deploy advanced AI solutions. It facilitates the creation of autonomous agents that can operate with contextual awareness, using modular frameworks to reduce build time. The model includes pre-tuned accelerators for specific industries such as retail, consumer packaged goods and manufacturing, as well as observability toolkits to monitor GenAI behaviour and manage task handoffs.
Going forward, for Tredence, AI Foundry is merely the starting point and plans to expand the AI Foundry series into new cities and industries. Tredence isn’t just building AI. It’s building builders of AI and equipping them with the patterns, platforms and principles to lead in the agentic age.
The AI Foundry workshop moved beyond a typical gathering; it served as a platform where engineers were empowered, and generative AI evolved from a buzzword into a practical, repeatable capability for businesses. It was a “show-and-build” experience that encouraged hands-on engagement and collaboration. This approach may very well set the future trajectory for enterprise AI.
