What is agentic AI?
Traditional automation follows a script. Agentic AI is given a goal and works out the route.
An agent interprets context, plans its steps, operates the applications and data it needs, holds context across long-running cases, and improves based on results. Reasoning plus the ability to actually do something — that is the shift.
The caveat that matters: reasoning alone isn’t a business outcome. Agents become dependable only inside a control layer that sequences their work, enforces permissions, records every decision, and keeps people in charge where it counts.

RPA
Strength
Precise, repeatable execution
Variability
Needs a defined path
Best for
High-volume, rules-based steps
Cost per unit
Lowest

Generative AI
Strength
Creating content
Variability
Not applicable
Best for
Drafting and summarising
Cost per unit
Moderate

Agentic AI
Strength
Deciding and acting toward a goal
Variability
Adapts to new information
Best for
Judgement-heavy, multi-system processes
Cost per unit
Highest

