Catch the key insights from our exclusive webinar on everything related to our famous “G Agent” and how businesses are harnessing the power of AI Agents to drive effective measurable results.
This webinar explored the evolution of AI Agents, introducing G Agent as the enterprise agentic framework, and showcasing real-world applications in oil and gas, retail, and governmental industries. Attendees gained strategic and technical insights into how AI Agents transform business workflows and decision-making.
I’m excited to share how, as Ghaia’s CTO, I’ve helped evolve AI agents from innovative ideas to real-world enterprise practices.
Chief Technology Officer
COO at ghaia.ai with 15 years of experience leading digital transformation and strategic innovation, enriched by an 8-year tenure at Microsoft.
Chief Operating Officer
Data Science Leader with 12 years of experience leading AI/ML-driven transformation, designing cutting-edge AI architectures, and scaling high-impact machine learning solutions.
Director of AI and Data Science
As Presales Business Analyst, I deliver creative solutions to complex problems through sharp analytical thinking and a keen eye for detail.
Presales Business Analyst
As an AI Experience Engineer with a background in Computer Science from the AUB, I bring a deep understanding of AI ethics, practical problem-solving skills, and a passion for creating responsible, human-centered AI solutions.
AI Experience Engineer
AI agents are an AI system that can perceive its environment and make decisions, accordingly, aligning with the business needs and objectives.
AI agents are employed to automate business processes instead of manually doing repetitive tasks.
AI agents don’t replace humans, but they collaborate, adding to them the emotional and social perspective humans have.
AI agents are set apart from traditional chatbots in three components: planning, memory, and action. Once we put these in an AI system, we can call this an AI agent.
AI has developed from mimicking humans in the 1950s, machine learning in the 2000s, and deep learning in the 2010s into generative, perceptual, and agentic AI nowadays. These agents are creating real-world change in organizations such as Chevron, Walmart, and Dubai Municipality.
AI agents don’t replace SaaS, they enhance it. SaaS is the system of record, AI agents are the system of intelligence – adaptive, action-oriented, and integrated across platforms. AI agents don’t replace SaaS — they orchestrate and optimize it. When verticalized (legal, HR, procurement agents) and when they natively integrate AI, memory, reasoning, and APIs — no SaaS UI is needed, so they become disruptive.
G Agent is our revolutionary solution for AI-driven business orchestration:
It works in “Orbits” and is controlled by a central “Gravity Agent”, which allows intelligent teamwork across departments.
G Agent has a 9-layer architecture to ensure optimal solutions and outcomes for our customers in terms of security, data, and memory.
The prerequisites for integrating the G Agent are:
G Agent Deployment Roadmap:
We’re already deploying G Agent in 3 main industries: