Agentic AI: The Next Leap in Artificial Intelligence
Why the future of AI isn’t just smart — it’s proactive.
By Pablo Hernández O’Hagan
••From Reactive to Proactive
Until now, most AI has been reactive. You ask, it answers. You prompt, it generates.
But the next wave — Agentic AI — goes further.
Agentic AI doesn’t just respond; it acts.
It sets goals, makes plans, takes initiative, and adapts when things change.
That’s Agentic AI: autonomous, adaptive, and driven by outcomes.
So… What Exactly Is Agentic AI?
Think of it as AI with a mission.
An AI agent:
Understands a goal (“Launch this campaign successfully.”)
Breaks it into smaller steps
Uses tools or APIs to get the job done
Learns from results
And adjusts the plan if something doesn’t work
It’s less like a chatbot — and more like a digital teammate that plans, executes, and improves.
As IBM defines it, Agentic AI is proactive AI that interacts with its environment and evolves continuously based on feedback.
Real-World Examples Already in Action
Use Case | What the Agent Does
Marketing & Sales: AI agents like Alta’s Luna qualify leads, run outreach, and optimize conversion funnels — 24/7.
Customer Service: AI agents monitor chats, detect sentiment, and even take actions like refunds or routing — without scripts.
Operations: EY and Google are testing agents that analyze vendor risk, manage compliance, or automate routine processes.
DevOps: Systems like Ciroos fix incidents automatically, responding faster than any human could.
Creative Workflows: Some agents are learning to use design tools, generate assets, test variations, and suggest improvements.
We’re watching the rise of AI teammates that think, act, and improve — not just answer.
Why It Matters (Especially for Businesses)
Smarter Workflows: Agents take over repetitive, multi-step work so your team can focus on strategy and creativity.
24/7 Execution: They don’t need coffee breaks — they run and monitor tasks around the clock.
Faster Learning: When something fails, they analyze why and re-plan instantly.
Composable: You can connect multiple agents — marketing, ops, analytics — to work together.
Innovation at Scale: It’s a path to massive efficiency gains and new business models.
Of course, autonomy comes with challenges — oversight, safety, and trust.
Agentic AI needs clear boundaries, like any employee: goals, rules, and a review process.
How We See It at Ingenia
At Ingenia, we see Agentic AI as a game-changer for digital transformation.
Here’s where it’s heading — and where we’re already experimenting:
Marketing Agents: Plan, execute, and optimize content strategies autonomously.
Onboarding Agents: Collect client info, audit systems, and generate project plans instantly.
Creative Agents: Turn brand briefs into visual concepts or campaign mockups in hours.
Ops Agents: Monitor project health, flag risks, and summarize weekly progress.
These aren’t just futuristic ideas — they’re pilots in progress.
The Bottom Line
Agentic AI is the next chapter of artificial intelligence.
It’s where machines stop waiting for instructions and start helping businesses move faster, smarter, and with purpose.
At Ingenia, we’re not just watching the wave — we’re riding it.
Want to explore what Agentic AI could do for your business?
Let’s brainstorm your first pilot project.