An empty control room at night, a row of dim monitors and one desk lamp lit at the operator's chair.

AI

AI prepares. People decide.

Agents forecast, pace, check and reconcile inside limits you set. Anything above those limits waits for a person, and every action is logged.

Before the budget owner is at their desk, a pacing agent notices that one channel is spending faster than the plan allows. It doesn't move the money. It writes down what it saw, proposes a fix with the range of what that fix would change, and puts the choice in front of the person who owns that budget. Machines do the counting and the checking, people make the commitments, and the record keeps both.

Agents with a job description

Where a fixed workflow is enough, we use a workflow. Agents are for the open problems, and each one has a scope, the tools it may use and a stop condition. An orchestrator keeps them in order and brings each decision to the person it belongs to.

Plan and allocate

Planning agent. Gathers goals and constraints, forecasts reach, frequency, spend and outcomes in ranges that update as data arrives, and compares scenarios side by side. Response curves from mix models, calibrated with experiments, show where the next dollar is likely to return more.

Who decides. People set the goals and choose the scenario. A planner approves any move beyond the agreed band.

Bid and create

Channel agents, one for each channel family, with its formats, buying rules and ways of measuring. Platforms already bid with their own models. We feed them clean conversion signals and true values, and set the limits they bid within. Variants are drafted inside brand rules and adapted to each format. How we buy digital

Who decides. People set the bid goals and approve what goes live.

Pace

Pacing agent. Checks spend against the plan, line by line, as the data arrives, flags unusual spend or delivery and keeps pacing inside the agreed band.

Who decides. Anything beyond the band waits for the person who owns that budget.

Check

Quality agent. Checks creative, contexts, invalid traffic and tracking, before ads run and while they run.

Who decides. Every alert has an owner who decides what happens next.

Reconcile

Reconciliation agent. Matches what was delivered, billed and paid on every line of the record.

Who decides. Payments outside the approved plan are never automated.

Report

Reporting agent. Writes plain-language summaries, with every number linked to its source.

Who decides. People decide what gets communicated.

Who approves what

The thresholds are agreed with each client before anything runs. Inside them, agents act and log what they did. Above them, the work waits for a person. Some things are never automated at all.

Automatic, within agreed limits

Agents act and log it.

  • Alerts, reports and quality checks
  • Pausing an ad that breaks a brand or quality rule
  • Pacing inside the agreed band

Needs a person's approval

The work waits until someone signs off.

  • Moving budget between channels beyond the band
  • New audiences, channels or creative going live
  • Bid goals beyond the band

Never automated

Only people do these.

  • New spend commitments
  • Contract terms with platforms
  • Payments outside the approved plan

Ranges, not promises

A model is only as sure as its data, and we say how sure it is.

Every forecast has a range

A planning number without a range hides its uncertainty, so ours always show one.

Thin history, wide ranges

Where a model has little to learn from, such as a new channel, a new market or a launch, the range is wide and we say so.

Good AI needs good signal

Agents and platform models work on the events they receive. That is why they run on our server-side, first-party data. See the technology

Judgment stays with people

Calls about the brand, the contract and the money are made by the people who answer for them.

Every action on the record

Logged

Every action is recorded with the data it started from and who took it, a person or an agent, in one audit trail.

Reversible

Every change an agent makes can be undone. What already ran stays on the record.

Stops when it should

An agent stops when a check fails, a limit is reached or the data looks wrong, and hands the case to its owner.

No number without a source

When an agent doesn't know a figure, it says so. Every number in a report points back to the event, platform or model it came from.

Models we can swap

The work isn't tied to one model or one vendor, so it can move when a better tool comes along.

An empty theater stage at night, one bare bulb on a stand left lit at center stage.

What to ask anyone selling AI for media

  • What exactly does it do, and what does a person decide?
  • What data does it need, and where does that data come from?
  • What range comes with its forecasts?
  • Which decisions can it make without approval, and who set those limits?
  • When it gets something wrong, how is it stopped and undone?
  • Can you read the record of everything it did?

We answer each of these before a plan runs.

Questions we get

Does the AI make decisions on its own?

Only inside limits you set. Budget moves beyond the agreed band, new audiences and new creative wait for a person, and new spend commitments are never automated.

Can we set our own thresholds?

Yes. The bands and approval levels are agreed with you before anything runs, and you can change them.

Are you tied to one AI model?

No. The models are interchangeable, and the work is set up so it can move from one to another.

How do we see what an agent did?

Every action is in the record, with the data it used and the person who approved it where approval was needed, and you can read that record.

Show us a plan. We'll show you where the agents would help.

Bring a plan you already run, and we'll mark the work agents can take on and the decisions that stay with you.