Everything AI

Imagine this…
In a bustling oncology clinic in Mumbai, Dr. Sharma faces a problem that plagues #cancer specialists worldwide. Her next patient, a 58-year-old with metastatic colorectal cancer, arrives with a bulging folder containing five years of reports comprising of pathology results, genomic tests, imaging scans, and discharge summaries from three different hospitals. Dr. Sharma has exactly 10 minutes to mentally reconstruct this patient's complex journey before making potentially life-or-death treatment decisions.
 
This is oncology's information paradox: modern medicine generates more data than ever before, yet doctors have less clarity at the point of care. The result? Cognitive burnout for physicians, rushed consultations for patients, and billions in lost productivity for healthcare systems.
 
Enter The Agentics - Agentic AI Multi Agent Platform that's transforming this bottleneck into a competitive advantage.
 
This case study answers and showcases a perfect #usecase on “How Agentic AI can be used in Cancer Treatment by Oncologists?”
Agentics’ innovative deployment of #AgenticAI technology was leveraged to address a critical bottleneck in medical #oncology: the information overload paradox that compromises both clinical efficiency and patient care quality. The solution demonstrates how purpose-built AI agents can transform scattered, unstructured #clinicaldata into actionable intelligence, fundamentally reimagining the oncology consultation experience. It illustrates how agentic AI - moving beyond simple automation to collaborative, multi-agent systems - can solve complex healthcare challenges while maintaining physician authority and patient safety as paramount principles.
 
The podcast showcases how a multi agent Agentic AI platform developed by #TheAgentics was leveraged to create an innovative solution to streamline medical oncology workflows. By utilizing multi-agent systems, the technology converts massive amounts of unstructured clinical data, such as scanned reports and handwritten notes, into organized digital timelines for physicians. This automation addresses the information paradox in cancer care, where excessive data leads to doctor burnout and inefficient patient consultations. 
 
Key Outcomes
→ 90% reduction in chart-review time (from 10-15 minutes to 60 seconds)
→ Enhanced clinical reasoning through AI-highlighted progression signals and anomaly detection
→ Increased OPD (Outpatient Department) throughput enabling hospitals to serve more patients
→ Transformed patient experience through WhatsApp-based report submission and deeper consultations
→ Creation of research-ready structured oncology registries from previously unstructured data
 
Contact The Agentics to discuss how our Agentic AI-Powered Clinical Intelligence solution can help you transform your Medical Oncology practice through Intelligent Data Synthesis.
 
Email us at [email protected].

The podcast explores the emerging role of Generative AI as a fundamental tool for modernizing Environmental, Social, and Governance (ESG) strategies. It highlights how automated workflows and predictive analytics can resolve common corporate hurdles, such as inconsistent data quality and the high costs of regulatory compliance.
By transitioning from manual audits to real-time, self-learning systems, organizations can achieve significantly faster reporting and more accurate carbon tracking. It specifically showcases the Agentics' Ai-ESG platform, illustrating how specialized AI agents can optimize supply chains and reduce emissions across various industrial sectors.
Ultimately, the podcast discusses integrating these advanced technologies converts sustainability mandates into a competitive economic advantage and a driver for long-term resilience. These innovations are projected to contribute trillions of dollars to the global economy while accelerating the transition to a low-carbon future.
This end-to-end intelligence transforms ESG from compliance to competitive advantage, accelerating your ESG goals with 15–50% faster achievements and rapid ROI through data-driven, value-chain-wide transformations.
Our Ai-ESG Platform doesn't just report sustainability; it creates it.
Contact us to leverage GenAi to achieve your ESG Goals!

Agentics presents its latest podcast that provides quick introduction on Artificial General Intelligence (AGI) for beginners. Defining it as the critical technological leap from specialized narrow AI to systems capable of generalized, human-level reasoning and adaptation across any intellectual task, the podcast chronicles the massive investment surge into AGI research, driven by key players like OpenAI, Google DeepMind, and NVIDIA, noting that the small AGI market is projected to skyrocket to over $11 billion by 2032.

Mechanically, AGI development focuses on achieving transfer learning, emulating human cognition (System 1 and System 2 thinking), and ensuring autonomy, moving beyond the current limits of large language models like GPT-5.

While experts like Sam Altman and Elon Musk predict AGI within the next few years, the median expert forecast places the 50% chance of human-level AI closer to 2040, emphasizing the high stakes surrounding ethical governance and safety. Ultimately, the material frames AGI as an exponential breakthrough that promises radical societal abundan

Large Language Models (LLMs) are trained on a predominantly Western corpus, leading to cultural biases that can hinder their effectiveness and adoption in non-Western contexts. To address this, LLMs must be adapted to regional nuances, incorporating local languages, idioms, and cultural references. This involves fine-tuning models on region-specific datasets, integrating behavioral insights, and establishing governance frameworks to ensure ethical and safe AI use.
Large Language Models (LLMs) are often trained on data that reflects Western perspectives, leading to biases and cultural insensitivity. To address this, a three-layered approach is proposed: culturally curated data, behavioral insights, and region-specific governance models. This approach aims to create AI that understands and respects local cultures, values, and communication styles, ensuring global adoption and avoiding cultural erasure.
Read more: https://theagentics.co/insights

Case Study: Agentic eCommerce - Competitor Price Intelligence & Dynamic Pricing Suggestions
A leading consumer brand in India’s home appliances sector faced challenges maintaining market share due to competitor price undercutting. Agentics deployed an AI-driven competitor monitoring and pricing recommendation engine, providing real-time insights into competitor pricing dynamics and actionable pricing suggestions. The solution resulted in a 15% uplift in e-commerce sales volume, improved profitability, and a more agile pricing strategy.
Agentics' self-optimizing AI ensures that every pricing decision refines future recommendations, building a sustainable competitive edge. In India's dynamic home appliances market, where competitor intelligence is now a necessity rather than an advantage, this approach drives long-term growth and resilience.
To read the detailed case study: https://theagentics.co/insights/case-study-agentic-ecommerce-competitor-price-intelligence-dynamic-pricing-suggestions