Artificial Intelligence, Machine Learning & Agentic Automation FAQs

Frequently Asked Questions

1. What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) refers to technologies that enable machines to perform tasks requiring human-like intelligence, such as reasoning, learning, and decision-making. AI helps businesses automate processes, reduce costs, and drive digital transformation.

2. How is Machine Learning different from AI?

Machine Learning (ML) is a subset of AI that uses algorithms to learn from data and improve performance over time without explicit programming. While AI is the broader concept, ML powers many predictive analytics and intelligent automation solutions.

3. What is Agentic Automation?

Agentic Automation is the next evolution of Intelligent Automation, combining AI-driven decision-making with autonomous software agents. These agents can adapt dynamically, collaborate across workflows, and execute tasks with minimal human input—unlike traditional rule-based automation.

4. How does Agentic Automation differ from RPA (Robotic Process Automation)?

RPA automates repetitive tasks using static rules. Agentic Automation uses AI-powered agents that can reason, learn, and make decisions, enabling businesses to handle complex, variable workflows and achieve end-to-end process orchestration.

5. What business problems can these technologies solve?

  • AI & ML: Predictive analytics, customer personalisation, fraud detection, demand forecasting.
  • Agentic Automation: Intelligent workflow management, adaptive decision-making, enterprise process automation.

6. Do I need large amounts of data to start with AI or ML?

Not always. Modern AI solutions leverage transfer learning, synthetic data, and pre-trained models, allowing businesses to start small and scale quickly.

7. Is Agentic Automation secure and compliant?

Yes. Agentic systems can be deployed with governance frameworks, audit trails, and ethical AI principles, ensuring compliance with industry regulations.

8. How quickly can I implement these technologies?

Implementation depends on complexity and readiness. AI use cases can go live in weeks, while enterprise-scale agentic automation may require phased rollouts over several months.

9. What skills or resources do I need?

A mix of business analysts, data scientists, and automation specialists is ideal. Orchestrato provides AI strategy consulting, implementation services, and managed automation solutions to bridge these gaps.

10. How do I measure ROI for AI and Agentic Automation?

Key metrics include:

  • Cost savings
  • Processing accuracy
  • Process efficiency gains
  • Improved decision accuracy
  • Enhanced customer experience