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Background

Presenting October.ai—Agentic Cloud

AI Agents Are Changing the Face of Business with Autonomous Engine.

AI-Agent

Capitalize on the AI Agent Opportunity

How to implement AI agents to transform business models.

Generative AI (GenAI) is transforming industries by enabling machines to create human-like text, images, and code with speed and accuracy. Businesses use GenAI for content creation, automation, and customer engagement, driving productivity and innovation.

AI Agents are the next big leap—autonomous systems that reason, plan, and execute tasks in real time. Unlike traditional automation, they adapt, learn, and make decisions with minimal human input, revolutionizing business automation, customer service, and workflow optimization.

By 2028,
33% of enterprise software will include agentic AI.

"Gartner projection" – Establishes credibility and context.
Bottom Line

AI agents are autonomous or semi autonomous software entities that use AI techniques to perceive, make decisions, take actions, and achieve goals in their digital or physical environments.

Agentic AI Brain
Agentic AI Brain

What AI Agents Are NOT

  • Large Language Models (they are models)
  • Set of instructions/subroutines
  • Automated software functions
  • RPA Workflow automations
  • Conversational Assistants or UX interfaces to them
AI Use Case

The Big Pivot: AI Agents in Action

From process to progress — reaching Action with Agency

Cost
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Speed
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Quality
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Resiliency
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Autonomy
Human
Machine
Human
Machine
Human
Machine

Augmentation

Automation

Autonomy

The Big Pivot: AI Agents in Action

From process to progress — reaching Action with Agency

Cost
Speed
Quality
Resiliency
Autonomy
Human
Machine

Augmentation

Human
Machine

Automation

Human
Machine

Autonomy

C-Suite View of AI Agents

AI Illustration

Current AI Systems

Require (strong) supervision
Execute (relatively) simple
tasks Static behaviour

Future AI Systems

Act Autonomously
Execute on complex goals
Adaptable behaviour

Business Value of Agentic AI

Business agility

Business agility

Scale

Scale

Quality / Resiliency

Quality / Resiliency

Labour speed

Labour speed

Hand

AI Agent Platforms

User Permission

  • Agent Monitoring and Governance
  • Prebuilt Agents Natural Language Build - Engineer Build
  • Prebuilt or Al Agent Built Tooling to Retrieve Data and Act
  • Curated Data Layer - SaaS-KBs, KGs, Long Term Memory
  • Models -BYOM, LAM, NSM, LLM - Access to Al Techniques

Evaluating a Use Case for October.ai—Agentic Cloud.

  • Sales, Marketing, Customer Service
  • Field Service and Operations
  • Contract Lifecycle Management
  • Employee Engagement
  • Experience Orchestration
  • Project and Task Management
AI Use Case

AI Prism Chart

Centered Image

Frequently Asked Questions

What’s the difference between AI Agents and GenAI?

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Do I need a data science team to build an AI agent?

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What tools or platforms support agentic AI?

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How do AI agents learn and adapt?

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Are AI agents secure?

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Recommended AI Strategy

Bring a Business Focus
Incrementalism in Business
Start Building a Foundation
Define a 'Portfolio' of AI Initiatives

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