Published in
October 12, 2026

Tomi: An AI Agent Built for Commerce Media Operations

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Tomi is Topsort’s AI agent for ad operations, sales, and analysis. Built to work across campaigns, advertisers, marketplaces, files, and connected systems, Tomi helps commerce media teams move from manual workflows toward agentic operations — from creating campaigns and analyzing performance to diagnosing problems and taking action.

Commerce media is becoming more complex to operate.

Traditional ad platforms were built around dashboards, forms, reports, and manual workflows. Operators create campaigns, monitor performance, investigate problems, adjust settings, and repeat that process across advertisers and marketplaces.

As programs scale, the challenge is no longer simply having access to more data. It is turning that data into the right decision and then acting on it.

A campaign may be underspending because its bid is not competitive. Another may exhaust its budget too early. Another may have limited inventory. Understanding what is happening can require moving between campaign settings, performance reports, advertiser data, and other systems before deciding what to do next.

AI creates an opportunity to change that operating model.

That is what Tomi is built to do.

From campaign creation to agentic ad operations

Tomi started with a simple idea: creating an advertising campaign should not require manually configuring every setting.

An advertiser could describe what they wanted to accomplish in natural language, and Tomi could translate that intent into a campaign.

Now, Tomi is expanding beyond campaign creation into a standalone agent for ad operations, sales, and analysis.

Tomi has its own workspace built for agentic ad operations, with full-screen chat, saved and searchable conversations, and the ability to bring individual campaigns or advertisers directly into a conversation.

It also works across marketplaces. One conversation can cover campaigns and advertisers across a company without requiring operators to repeatedly switch environments or start over.

Instead of navigating through software to find the right information, teams can begin with the problem they want to solve.

One agent across commerce media data and tools

For an AI agent to make useful decisions, it needs context.

A general-purpose AI model can explain why campaigns sometimes underspend. Tomi needs to understand why a particular campaign is underspending.

That means working with the information surrounding the campaign.

Tomi can use live Topsort data across campaigns, advertisers, and performance. Teams can also provide media plans, exports, reports, CSVs, PDFs, and images, which Tomi can turn into campaigns, analysis, or reports.

Native connectors allow Tomi to work across other advertising platforms and tools, while warehouse connections let teams ask questions about their own data in natural language.

Tomi is also not tied to a particular ad server. You can connect your existing ad server to Tomi. If you're not ready to do so, you can simply upload files such as reports, CSVs, or PDFs, or connect your data through a data warehouse.

The result is one conversational operating layer across the data and tools commerce media teams already use.

From understanding to action

The next step for AI in commerce media is not simply answering more questions. It is helping teams complete the work that follows.

Tomi can analyze a campaign, identify an issue, recommend what should happen next, and help carry out an approved action.

Campaign Doctor is a feature within Tomi that helps teams identify, diagnose, and resolve campaign performance issues through four steps:

Detect scans campaigns and ranks them by how much ad spend they are losing.

Diagnose identifies causes such as underspending, early budget exhaustion, an uncompetitive bid, or limited inventory.

Treat proposes a fix together with its confidence, risk, and expected spend lift.

Apply lets the operator approve the recommendation and hand the fix to Tomi.

The difference is important. A dashboard can show what happened. Analytics can help explain why. An agent can connect that understanding to what should happen next.

From manual workflows to agentic operations

Commerce media software has traditionally made individual tasks easier while leaving people responsible for connecting every step.

Agentic software begins to change that division of work.

Instead of manually reviewing every campaign, teams can focus on the campaigns that need attention. Instead of investigating every issue from the beginning, Tomi can gather the relevant context and propose a diagnosis. Instead of translating every decision into another manual workflow, an approved action can be handed back to the agent.

The operator moves from executing every step toward setting objectives, reviewing recommendations, approving important changes, and handling exceptions.

That does not remove people from commerce media operations. It changes where their judgment is most valuable.

An Agentic Layer for Commerce AI

Tomi is also part of Topsort’s broader Commerce AI vision.

T-Brain provides a commerce-specific intelligence foundation across tasks such as retrieval, prediction, ranking, recommendations, advertising, and agentic experiences.

Tomi focuses on a different challenge: bringing data, tools, models, and workflows together so that AI can be applied to real operational work.

Tomi can work with Topsort data, files, external platforms, warehouse data, and connected systems. While T-Brain focuses on commerce intelligence, Tomi focuses on agentic operations. Both represent different ways Topsort is bringing AI into commerce.

The first phase of enterprise AI was largely about generating and summarizing information. The next is about AI that can participate in how businesses operate.

For Topsort, Tomi starts with commerce media operations — and lays another part of the foundation for Commerce AI.

Explore Tomi or book a demo.

Frequently asked questions

What is Tomi?

Tomi is Topsort’s AI agent for ad operations, sales, and analysis. It helps teams work with campaigns, advertisers, performance data, files, and connected systems through a conversational workspace.

What can teams use Tomi for?

Teams can use Tomi to create campaigns, analyze performance, work with advertisers and campaigns, generate reports, diagnose campaign issues, and take approved actions across commerce media operations.

What is Campaign Doctor?

Campaign Doctor is a Tomi workflow that detects campaigns losing potential ad spend, diagnoses the cause, proposes a treatment with its confidence, risk, and expected impact, and allows the operator to approve the fix before handing it to Tomi.

Can Tomi work with data outside Topsort?

Yes. Tomi can work with files such as CSVs, PDFs, images, media plans, and reports, as well as connected advertising platforms, tools, and warehouse data.

Does Tomi only work with the Topsort ad server?

No. Tomi is independent from ad serving and is designed to work with other ad servers and retail media platforms through connected data and tools.

How is Tomi different from T-Brain?

T-Brain provides the commerce intelligence layer, while Tomi is an agentic operating layer that brings data, tools, and workflows together to complete commerce media tasks. Together, they show how commerce-specific intelligence and agents can become part of the infrastructure behind Commerce AI.