By Zach Lenchner, Sr. Director, Product Management at QuantumPath | JWX
There is a tendency to talk about agentic buying like it is something far off in the future. Fully autonomous systems. AI making every decision. Campaigns running themselves. Traders replaced by software. That version of the conversation gets attention, but it skips over what is already happening.
Agentic buying does not have to start with a system taking over the entire media buying process. It starts when software begins to help with the actual operational work: setup, QA, monitoring, recommendations, approvals, changes, and governed automation.
That is already starting, not as science fiction, as workflow.
In practical terms, agentic buying is about giving software more responsibility across the campaign lifecycle.
That responsibility can start small.
An agent can read a brief and identify the required setup inputs. It can flag missing information before the trader starts building. It can compare a campaign setup against the approved plan. It can monitor pacing, performance, quality, and profitability. It can identify risks, suggest changes, and explain why those changes matter.
None of that requires removing the trader.
In fact, the first version of agentic buying should probably keep the trader very much in control.
The agent helps organize the work. The trader reviews, approves, adjusts, and decides how much authority the system should have.
That is a much more useful starting point than pretending the entire process needs to become autonomous overnight.
A lot of programmatic work still depends on people manually carrying information across systems.
The brief says one thing. The media plan says another. The DSP has its own structure. The naming convention lives somewhere else. The QA checklist sits in a separate process. Reporting creates another version of the truth.
That is where agents can help immediately.
They can turn messy inputs into structured campaign requirements. They can enforce naming rules. They can check whether required fields are missing. They can compare setup against the source of truth. They can monitor campaigns after launch and surface risks before they become bigger problems.
That work is not flashy, but it matters. It is also where traders lose a lot of time today.
The first real wave of agentic buying will not be about replacing every trading decision. It will be about reducing the amount of manual coordination required to get campaigns built, checked, monitored, and adjusted properly.
The word “agentic” can make people nervous because it sounds like the system is acting on its own.
That is why governance matters.
An agent should not just make changes because it can. It should know what it is allowed to do, what requires approval, what is out of bounds, and where the audit trail needs to be clear.
Some actions may only require a recommendation. Some may require manager approval. Some may be safe enough to automate within defined limits. Others should never happen without human review.
That is how agentic buying becomes practical.
The system can become more helpful without becoming reckless. It can take on more responsibility while still respecting permissions, client rules, internal standards, and platform-specific limitations.
As agents take on more operational work, the trader’s role becomes more focused.
Less time clicking through repetitive setup steps. Less time manually checking the same fields. Less time chasing down whether something changed in the DSP.
More time reviewing the plan, understanding trade-offs, approving recommendations, managing exceptions, and thinking about what will actually improve the campaign.
That is a better use of trader judgment.
Good traders are not valuable because they can remember every naming rule or manually check every setting across every line item. They are valuable because they understand how campaigns should run, where risk shows up, and what decisions matter.
Agentic buying should make that expertise more scalable.
At QuantumPath, we do not see agentic buying as one giant leap into full automation.
We see it as a progression. First, structure the inputs. Then build cleaner campaigns, then improve QA, then monitor what changes, then recommend what to do next, and then automate the right actions with the right controls.
That path is much more grounded than the hype cycle around AI often suggests. The opportunity is not to replace the people who understand the work. The opportunity is to give those people better leverage.
Agentic buying is already starting because the need is already here. Campaigns are too complex, platforms are too fragmented, and operations teams are being asked to do too much manually.
The future is not just AI making media decisions. It is AI helping the entire workflow operate with more speed, consistency, and control.