TL;DR: As agentic advertising platforms multiply, the evaluation frameworks buyers bring to them are still catching up. Most existing vendor selection processes were designed for tools that a human operates, not tools that operate on behalf of a human. This piece provides an evaluation framework built around the questions that actually differentiate agentic platforms: governance architecture, mandate infrastructure, audit capability, and the model for expanding agent autonomy over time.
Selecting an agentic advertising platform is not the same as selecting a DSP. The buyer-DSP relationship is primarily a capability relationship: what inventory can you reach, what targeting is available, what measurement integrations exist. The buyer-agent platform relationship has all of those dimensions and one that DSP procurement has never had to address: what does the platform do when the agent needs to decide something without a human in the loop, and how does the buyer maintain meaningful control over a system that is, by design, operating faster than human review cycles?
This is the evaluation framework that answers those questions. It is built around four domains: governance architecture, mandate infrastructure, audit capability, and autonomy progression. A platform that performs well across all four is ready for production budgets at scale. A platform that performs well on capability but poorly on governance is ready for pilots with careful limits.
How should buyers evaluate the governance architecture of an agentic platform?
Governance architecture describes how the platform structures the relationship between the buyer's human principals and the agents acting on their behalf. It is the hardest domain to evaluate because it is the least visible in a vendor demo, and the most consequential when something goes wrong.
Three governance questions should anchor the evaluation.
The first is: who can define the mandate, and through what process? The mandate is the document that authorises the agent to act. If any user on the buyer's account can modify the mandate, the governance model is effectively open. A well-designed platform requires that mandate changes go through an approval process that involves the appropriate budget owner, and logs every change with a timestamp and an authorising user. The mandate should be versioned, so that any deal can be traced back to the mandate version that was active at the time of execution.
The second is: how are approval thresholds enforced? Where a deal exceeds an approval threshold (a price limit, a new inventory source, a targeting parameter outside the approved range), the platform must pause the agent and surface the decision to a human. The question is how that pause and escalation actually works. Is the escalation notification delivered in a way the buyer will see in time to make a real decision? Is there a default action if the approval does not come within a defined window? And is the escalation logged in the deal record, so the audit trail shows where a human was in the loop and where they were not?
The third is: what happens when the agent makes a mistake? Every agent operating at scale will, at some point, execute a deal that the buyer would not have approved if they had reviewed it in advance. The governance question is not whether this happens; it is what the platform does when it does. Is there a mechanism for the buyer to dispute the deal? Is there a rollback process? And does the mandate model make it possible to determine whether the agent acted within its defined parameters, so the root cause of the error can be established?
What mandate infrastructure should buyers look for?
Mandate infrastructure is the technical implementation of the governance model. A platform with good governance principles but weak mandate infrastructure is one where the principles are stated but not enforced.
Five infrastructure characteristics matter.
Structured mandate format: the mandate should be a structured document with defined fields, not a free-text description of preferences. Structured formats can be validated by the platform and compared against deal records automatically; free-text descriptions cannot.
Mandate versioning: every change to the mandate should generate a new version, with the previous version retained and accessible. A deal executed under mandate version 3 should be traceable to the exact parameters that were active at execution, even if the mandate has since been updated to version 7.
Real-time mandate enforcement: the platform should apply mandate parameters at the point of negotiation, not after the fact. A system that logs mandate violations retrospectively but does not prevent them in real time does not enforce the mandate; it audits it after the damage is done.
Mandate audit export: the buyer should be able to export the complete mandate history, in a machine-readable format, independently of the platform's reporting interface. This is the document that demonstrates to a compliance team or an external auditor that the agent's authorisation was properly governed throughout the campaign.
Mandate separation from deal execution: the mandate records and the deal records should be stored and accessible separately, so that a failure in one system does not affect access to the other. This is a resilience question, but it is also an audit independence question.
What audit capability should buyers require?
The audit question for agentic platforms is more complex than for conventional programmatic tools, because the audit chain is longer. In conventional programmatic, the audit chain runs from campaign setup through delivery reporting. In agentic buying, the chain runs from mandate approval through deal negotiation through delivery, and each link must be independently verifiable.
Buyers should require three levels of audit capability.
Deal-level audit: for any individual deal, the buyer should be able to retrieve the deal record, the mandate version active at execution, the approval log (including any human interventions), and the delivery report. These documents should be retrievable together via a common deal reference number.
Campaign-level audit: across a campaign, the buyer should be able to run a reconciliation between the aggregate of individual deal records and the campaign delivery report. Variances above a defined tolerance should be flagged. The platform should provide tooling that makes this reconciliation runnable without requiring a custom data export for every campaign.
Mandate compliance audit: the buyer should be able to run a systematic check of all deals in a defined period against the mandate parameters that were active during that period. This is the audit that tells you whether the agent operated within the authority it was given. Without this capability, mandate governance is a paper exercise.
How should buyers think about autonomy progression?
The most consequential long-term question in agentic platform evaluation is not what the agent can do today but how the platform supports the expansion of agent autonomy over time, and what governance model governs that expansion.
The earned autonomy model, which is the framework used by the more carefully designed platforms, describes a progression from low to high autonomy that is gated by performance evidence and explicit approval. An agent begins with narrow scope: specific inventory types, low approval thresholds, constrained price ranges. As the agent demonstrates performance within those constraints, the mandate can be extended. The extension is a governance decision made by the buyer's human principals, not an automatic capability expansion triggered by the platform.
The practical question for buyers is: does the platform support this model, or does it treat autonomy as a binary setting? A platform that offers "full autonomous mode" as a toggle is not providing the governance infrastructure that enterprise procurement requires. A platform that provides a mandate expansion process with defined criteria, approval steps, and version control is one where the buyer can build toward higher autonomy without compromising their governance position.
Four evaluation questions close the framework.
Does the platform provide an autonomy progression framework, or only capability levels? A capability level (what the agent can do) is different from an autonomy level (how much independent decision-making authority it has been granted). Both matter, but they are different dimensions.
What evidence is required before an autonomy expansion is approved? The platform should have a defined method for presenting performance evidence to the buyer's approvers, not just a recommendation from the platform's account team.
Can autonomy be reduced as well as expanded? A platform that only allows expansion is a platform where autonomy ratchets in one direction. The buyer should be able to tighten mandate parameters if performance deteriorates or if priorities change.
Is the autonomy progression documented in a way that is auditable? Every expansion of mandate scope should generate a documented approval, so that the complete history of how the agent's authority evolved over time is recoverable.
The platforms that perform well on all four domains are not necessarily the ones with the most capability. They are the ones that have thought through what it means to give an agent authority over a budget, and have built the infrastructure to ensure that authority is granted, tracked, and recoverable. That combination is rarer than the marketing suggests, and it is the right thing to select for.