An AI agent that runs creator outreach and negotiation at campaign scale.

Creator campaigns can involve hundreds or thousands of potential creators. A traditional campaign workflow often requires teams to manually:

At large scale, this creates a significant operational burden for campaign and influencer-marketing teams. The goal was to build an intelligent system capable of handling a large portion of this workflow automatically while keeping humans in control of important campaign decisions.

We developed an AI-driven creator campaign management platform that acts as an intelligent orchestration layer between brands and creators. A simplified workflow is:

The system can manage multiple creator conversations simultaneously rather than requiring a campaign manager to manually handle every interaction.

The system can identify creators based on campaign requirements and available creator information. Potential criteria can include:

The AI layer can help determine whether a creator is relevant before initiating outreach, allowing the campaign team to focus attention on creators who meet the required campaign criteria.

One of the central capabilities is automated creator outreach. Instead of manually sending the same message to hundreds of creators, the system can manage outreach at scale:

This enables campaign teams to operate campaigns involving a substantially larger creator pool without increasing manual workload proportionally.

The system can generate creator-specific communication rather than relying exclusively on generic templates. Outreach can incorporate relevant campaign and creator context:

The goal is to make automated outreach feel contextual while maintaining consistent campaign requirements.

Once a creator responds, the AI agent can continue the conversation based on the campaign context. Creators may ask questions such as:

Instead of requiring a campaign manager to manually respond to every question, the AI can handle routine conversations using campaign-specific information.

A particularly important capability is creator-rate negotiation. Creators may respond with their expected fee or propose different commercial terms.

The AI agent can evaluate the response against the campaign’s configured requirements and negotiation parameters, then continue the conversation according to predefined business rules. This allows negotiations to be handled consistently across a large creator pool.

Because commercial negotiations can directly affect campaign expenditure, the AI operates within predefined boundaries. The system can establish parameters such as:

The system maintains the state of each creator within the campaign. A creator could move through states such as:

This allows campaign managers to understand the status of a large creator campaign without manually tracking individual conversations.

The agent maintains campaign and creator context while communicating. Here, the system needs to understand that the creator is referring to the campaign compensation currently being discussed, and respond based on the campaign’s configured negotiation parameters rather than treating the message as an isolated conversation.

The objective is not to completely remove humans from campaign management. Instead, the system automates repetitive operations while keeping humans involved where judgment or approval is required.

The AI agent acts as an orchestration layer connecting campaign requirements, creator information, communication services, and business rules.

Instead of a campaign manager manually coordinating every creator, the AI agent manages the repetitive communication layer across the campaign.

The major engineering value of the system is its ability to support many concurrent creator conversations. A traditional workflow scales largely with the number of campaign managers available.

An agent-based workflow can instead process many independent creator conversations concurrently while applying the same campaign rules, which makes the architecture particularly suitable for creator-marketing platforms where campaigns may involve large creator pools.

The resulting system demonstrates how AI agents can be used not only for answering questions but for managing multi-step business workflows involving large numbers of external users.

The agent can assist with the complete creator-campaign lifecycle, from creator discovery and outreach through conversations, qualification, and controlled negotiation.