Beyond the Agent-Wash: What Actually Makes AI "Agentic?"
If you’ve spent five minutes in a B2B SaaS demo lately, you’ve heard the word "Agentic."
According to Gartner, we are officially in the era of agent-washing. Much like "green-washing" in the early 2010s, vendors are slapping the "Agent" label on everything from basic chatbots to glorified IFTTT recipes.
But if everything is an agent, then nothing is.
At Kana, we believe that for a system to be truly agentic, it has to cross a specific threshold of autonomy. It’s not about having a chat bubble; it’s about having a nervous system that can navigate the "messy middle" of a task without checking back with you every thirty seconds.
The Threshold: Is it an Agent or a Wrapper?
Most of what people are referring to as "Agentic AI" today is actually an agentic wrapper.
A wrapper is a predefined script. It uses an LLM to "reason" through a very narrow, fixed path. If the path breaks, the wrapper breaks. A true agent, however, lives on the other side of a very specific threshold: the multi-step goal/action gap.
The Litmus Test:
- The Wrapper (Reactive): You ask it to "Summarize this PDF and email it to Bob." It follows a two-step sequence. If Bob’s email address is missing, it fails or asks you for it.
- The Agent (Proactive): You tell it "Get Bob’s feedback on this proposal." The agent realizes it needs to find Bob’s email, checks to see if he's out of office, summarizes the PDF, and, if he doesn’t reply, follows up in three days with a nudge.
True Agentic AI doesn't just execute a sequence; it manages the inputs, logic, and actions required in order to achieve a goal. It’s self-starting: it doesn’t require point-to-point direction the way an unmotivated or not-so-clever employee might require.
It’s also self-correcting: when it encounters a bump or a wobble (Bob’s email uses an alias that doesn’t exactly correspond to his name, for example), it doesn’t freeze up. It absorbs the shock gracefully and takes steps on its own to figure it out.
The 4 Pillars of Real Agency
To tell what’s what, look for these four markers. If a tool is missing more than one, it’s just a co-pilot in a fancy suit.
- Reasoning & Planning: Does it break down a complex prompt into sub-tasks autonomously?
- Tool Use (Tool Calling): Can it browse the web, query a database, or trigger a third-party API on its own to find the information it's missing?
- Memory: Does it remember your preferences from yesterday’s task to inform today’s decision?
- Non-Determinism: If you give it the same goal twice, it might find two different (but equally valid) paths to get there. It adapts to the context, not a code block.
Agentic Marketing: The Aspiration vs. The Reality
The self-optimizing funnel remains one of the biggest, outstanding aspirations in the world of marketing.
Right now, for this use case "Agentic Marketing" is often just "Automated A/B Testing." But the real objective, which Kana turns into reality, is an environment where the marketer sets the north star objective (e.g., "Decrease CAC by 15% while maintaining lead quality") and the agent handles the barrage of required tactical steps that lead to achievement of that objective. Think of this as steering the ship, not rowing the boat. A human user orients the agent around a major objective without overspecifying the means, as we used to do with legacy SaaS.
To break this down: In this example, the custom-built agentic application monitors engagement in real-time. If it sees a drop in LinkedIn traffic or realizes the creative is stale, it can generate three new variations, test them, provide its recommendations for review and approval, deploy and shift the ad spend. It can do all of this with as much or as little human oversight and supervision as your company desires.
The Verdict
The goal isn't to replace the human; it's to change the human's role. Don't settle for tools that just follow instructions. Demand tools that understand intent and drive toward measurable outcomes that matter.
The real definition of agentic marketing isn't "AI that talks to customers." It’s "AI that solves problems you didn't even know you had yet."
Ready to move past the wrappers? Book a meeting with us.