The world’s biggest challenges—whether transforming businesses, advancing science, or addressing societal issues—are too complex for humans or AI to solve alone. The real magic happens when the two collaborate, combining human ingenuity with AI speed and precision. Welcome to the agentic era, a groundbreaking new chapter where humans and intelligent agents join forces to achieve more than ever before.
From apps to agents
For decades, we’ve relied on application-based software to handle tasks. But the paradigm is shifting. We’re moving beyond apps into a world powered by agentic AI—autonomous systems capable of understanding, acting, and learning in complex environments. This agentic evolution is redefining how we interact with technology. Agents are more than just AI tools—they’re your trusted collaborators.
Here’s what sets agents apart:
- Autonomous action: Instead of passively responding to commands, agents jump into action to complete tasks end-to-end.
- Memory and context: Powered by large language models (LLMs) and fine-tuned for specific applications and expertise, agents remember past interactions and operate with a deep understanding of context.
- Scale: Soon, there will be tens of millions of agents working across industries, solving problems faster and more intelligently than ever before.
While the future is agentic, the rise of agents brings new challenges for operational simplicity. How do we manage and orchestrate this vast new ecosystem? The answer: We need AI solutions to solve AI problems.
Reimagining management in the agentic era
Now that we’ve established that agents are capable of autonomous decision making, deep understanding, and broader scaling, we need to fundamentally rethink the way we manage and govern them. To fully harness their potential, we need a new kind of management console—one tailored for the agentic era.
The effective management of agents rests on three core principles:
- Human in the loop: The agentic era isn’t about humans or agents working in isolation—it’s about partnership, and collaboration remains key. Humans bring judgment, creativity, and strategy, while agents contribute speed, precision, and scale.
- Cross-domain context: To operate effectively, agents must bridge silos, drawing insights from data across different applications and systems.
- Purpose-built: Agents need to be specialized. Purpose-built models with deep domain expertise ensure they excel at their assigned tasks.
These agents further need a new operational framework—what we call AgenticOps—designed to orchestrate, optimize, and scale the collaboration between humans and intelligent agents in this rapidly evolving ecosystem.
Introducing Cisco AI Canvas
To meet this pivotal moment and bring AgenticOps to life, I’m excited to introduce AI Canvas—an industry-first, generative UI shared workspace designed to redefine how teams and agents work and win together. AI Canvas leverages a multi-data, multi-agent system integrated with Cisco AI Assistant to enhance decision making and analytics, enabling seamless collaboration among AI agents for real-time insights and autonomous recommendations.
- Team collaboration and IT troubleshooting: Whether it’s solving IT issues or driving innovation, AI Canvas enables troubleshooting, automation, and execution across the whole stack. AI Canvas lets you explore and monitor together, as well as diagnose and act—applying changes in real time.
- No more silos: By integrating data across networking, security, collaboration, and the data center, AI Canvas keeps everyone in the loop, even as data evolves.
- Deep network model: Purpose-built for networking, fine-tuned on 40+ years of expertise, and constantly evolving, Cisco’s Deep Network Model is the most advanced networking LLM in the industry and the engine that powers AI Canvas.
A new era of possibility
The agentic era is here—and it’s reshaping how we solve problems, make decisions, and innovate. By bringing humans and agents together, we can unlock new levels of productivity, creativity, and impact. Let’s embrace this future and build it responsibly, ensuring that as our tools grow smarter, so does our ability to collaborate and lead with purpose.
Welcome to the agentic era. Together, we’re just getting started.
Is it going to affect TAC jobs?
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Very interesting
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Please, make this new tool user-friendly please.
I found many times your tools are not, and is much easier to first find how to enable a double-VPN tunnel DTLS encrypted over IPv6 frame protected rather than just how many connected clients I have.
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Can we have the AI Canvas available to integrate with other products ?
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How would one go about becoming a prompt engineer or a sales professional for this project, it sounds really cool.
This is absolutely outrageous this will ruin our economy and make people jobless.In my opinion I think that these AI communications with work and replace jobs is not an good thing.Its going to ruin lives.For example, imagine that your in a world full of AI right , but your job manger fired you because he used these life generating Ai roots that serves food and replaces a waiter.Then what do you do?Look for another job right.But then they decline you and say “Our company has allowed a management with AI which control the system of the company and satisfy the customers.
We are OSS software provider focusing on NOC operation automation (basically the dark NOC). I wonder how we can work with your agent to make NOC operation automation better. My email is david_deng@ossera.com. Looking forward to hearing from you. Thanks
The comments on this post could use some ai moderation.
This piece brilliantly captures the paradigm shift from apps to agents—especially the human-agent synergy that underpins the agentic era. The emphasis on contextual memory and autonomous action resonates deeply with how marketers are also rethinking engagement strategies.
We’re now seeing a similar transformation in how marketing functions—agents are no longer just tools but intelligent collaborators reshaping brand strategy and execution. I recently explored this in a piece on Agentic Marketing: Unlocking New Capabilities for the Next Marketing Revolution -https://wisdomplexus.com/blogs/agentic-marketing-unlocking-new-capabilities-for-the-next-marketing-revolution/, examining whether these systems simply automate tasks or actually open up a new dimension of strategic capability. Would love to hear others’ thoughts on how this shift impacts customer experiences and long-term brand differentiation.
This is certainly a conversation I’ve been trying to have with my spouse as well as a friend of mine they are both certainly new to them AI, I am not sure they even know it is short for artificial intelligence which is weird ;however, it has peaked their interest ; nevertheless, It is from a what I call the a consumer based level. The hey! I have a question level more than a commanding level. The average person will assume that the AI already has all the answers, unaware that the AI is continuously learning simultaneously responding, and teaching itself from the type of questions it receives therefore; hearing a question one incident hence, referring back to other questions in retrospect the present almost instantly turns into future with information collected from previous human engineering and engagement. The average person haven’t figured out it is more promising to not only ask questions but to give commands in other words give prompts, suggest, troubleshoot and figure out what is legally smart and or possible to achieve from a Agent standpoint in regards on how to relay and control something that is autonomous without compromising common goal integrity.
This is certainly a conversation I’ve been trying to have with my spouse as well as a friend of mine they are both certainly new to the term AI, I am not sure they actually know it is short for artificial intelligence ; nevertheless, it has peaked their interest ; however, It is from what I call “The Consumer Based Level”. The hey! I have a question level more than a commanding level. The average person will assume that the AI already has all the answers, simply unaware that the AI is continuously learning simultaneously responding, and teaching itself from the type of questions it receives therefore; hearing a question one incident hence, referring back to other questions in retrospect the present almost instantly turns into future with information collected from previous human engineering and engagement. The average person haven’t figured out it is more promising to not only ask questions but to give commands in other words give prompts, suggest, troubleshoot and figure out what is legally smart and or possible to achieve from a Agent standpoint in regards on how to relay and control something that is autonomous without compromising common goal integrity.