The Rise of Composite AI

Why Generative + Agentic AI is the Real Game Changer? The next wave of AI innovation lies not in siloed intelligence, but in systems that think, create, act & evolve together.

First, What’s the Difference?

Before we dive into the use cases, let’s quickly clarify the difference between Generative AI and Agentic AI. And, why combining them unlocks unprecedented potential.

Type: Generative AI

What it does?
Well, it creates new content based on patterns (text, code, images, plans) Eg., Writing, design, code generation, simulations

Type: Agentic AI

What it does?
Acts autonomously toward a goal with reasoning, memory, and decision-making Eg., Automation, Assistants, Process Orchestration

Now imagine this - Generative AI writes the playbook, and Agentic AI runs the game. That’s the power of composite systems i.e, content creation + autonomous execution.

A Quick Comparsion

Industry Use Cases: Generative + Agentic in Action

Below are example real-world composite scenarios where these two forces come together, resulting in systems that can both think and act. These are not futuristic they’re either already in pilot or well within the next 12–18 months.

Banking: Autonomous Wealth Advisor for Affluent Clients

Personalised investment management for high-net-worth individuals.

• Generative AI
  Creates bespoke investment strategies based on the client’s risk appetite, life goals, and market conditions. It writes narrative forecasts, asset allocations, and risk mitigation plans.

• Agentic AI
  Reads and interprets these plans, autonomously rebalances portfolios, schedules tax-loss harvesting, sets up alerts, and nudges the client for approvals or feedback.

Insurance: Dynamic Policy Issuance & Lifecycle Management

Hyper-personalized policy generation and autonomous lifecycle management.

• Generative AI
  Based on customer data (occupation, health, travel habits), it drafts unique policy documents — including custom clauses, pricing logic, and disclaimers.

• Agentic AI
  Validates for compliance, activates policies, sets renewal schedules, monitors claim triggers, and even recommends modifications as customer life events change.

Manufacturing: Self-Optimising Production System

An autonomous system that redesigns and deploys new production strategies in real time.

• Generative AI
  Ingests machine data, defect logs, and shift performance to generate a new process strategy — e.g., changes in material flow, updated SOPs, or rescheduling of shifts.

• Agentic AI
  Executes the plan autonomously — reconfigures machines, adjusts procurement timelines, and dispatches new instructions to human operators via digital dashboards.

Does these all matter?

We're moving into a world where AI is not just intelligent, but also with high-agency and proactive. This combination leads to

• Radical Efficiency
  Reduce human-in-the-loop to human-on-the-loop.

• Hyper Personalisation
  Mass customisation at enterprise scale.

• New Operating Models
  Industries will evolve around AI-first, agent-driven workflows.

Lastly, just as mobile wasn't about phones, and cloud wasn’t about storage; composite AI isn’t just about smart chat or fast automation.

It’s about redesigning how work gets done.