Super agents are AI systems designed to plan, delegate to sub-agents, and act across multiple tools and data sources to complete complex tasks end to end. The fully realised version does not yet exist to deliver at scale, but advanced agents are starting to appear in the marketing space.

For brands the question is whether you plug into someone else's, build and own your own, or land somewhere in between. Different paths for different purposes.

Six questions before you plug in

These six questions are designed to help you assess if a pre-built agent is right for you, and perhaps for how long.

Due diligence questions
  1. What is actually proprietary here? Strip out the foundation model, the UI, and the workflow wrapper. What remains that is genuinely specific to your brand? If the intelligence is built on someone else's data and frameworks, it may be valuable. But it is not yours.
  2. What happens to the data we feed into the agent? Ask whether your campaign data and customer signals stay isolated, or inform outputs that benefit the broader client base. Cross-client learning can be valuable. But it should be a deliberate choice, not an assumption buried in the architecture.
  3. Who owns the error? The agent will make mistakes. Ask what the accountability structure looks like when that happens.
  4. What do we take with us if we leave? Campaign history, audience segments, trained outputs, performance benchmarks. Clarity is key here.
  5. Does your existing commercial model influence what this agent optimises for? This question is rarely asked at the briefing stage. It should be.
  6. Does this compound value for my orchestration stack, or am I renting access? An agent that performs well but keeps the intelligence inside its own system is a service, not an investment.

The case for building into your own stack

At ASEMELi we have been trialling agents that craft briefs from a brand's first-party and collaboration data sources and decision models, and feed real performance learnings back into the brand's own data infrastructure.

Because the learning loop is documented and owned rather than a black box, it can be audited, extended, and replicated, which is what makes it genuinely scalable. Agents that build into your sovereign stack make you more capable with every campaign.

The plug-in path is faster. The build path is more durable. Most brands will do both, and for a while at least, that makes sense.

#OwnYourIntelligence