Managers often ask this question due to the fast pace of technological change across industries. This article provides clear insights and examples on the who, what, why, where, and when of using AI Agents in today’s enterprise.

Who

AI Agents automate work typically performed by professionals, such as accountants, paralegals, teachers, doctors, and engineers. These experts often manage repetitive, critical workflows common in today’s enterprises. AI Agents are ideal for professionals needing to ensure privacy, accuracy, and reliability.

What

AI Agents connect an organization’s data sources to ensure information is processed securely and accurately. They collect facts from various data types and turn raw data into valuable insights, without exposing private information.

Agents coordinate much like our body’s systems, working together to respond or act. They utilize specialized models to recall details, reason, and act through tools and policies, just like employees.

Why

AI Agents provide guardrails against social, technical, and security risks of AI in business. They eliminate incorrect data or “AI hallucinations,” keeping automation accurate, traceable, and reliable. Role-based agents ensure compliance with policies or regulations, controlling costs by choosing the most suitable model for each task. Agents help retain employees, increase margins, cut mundane work, improve accuracy, and reduce errors.

Where

AI Agents operate in any enterprise environment, connecting with email, spreadsheets, PDFs, voice files, CRMs, ERPs, databases, or communication platforms. They comply with regulations and privacy standards relevant to company operations. Agents can be entirely private (air-gapped) and use the best, cost-effective, vendor-agnostic models.

When

Now is the time to deploy AI Agents to boost margins by automating workflows that require accuracy, privacy, and audit checks.