Advertising and media
Can we trust the morning numbers?
Agents now read your yield and campaign numbers before your analysts do. LeafCraft checks every run against your rules and sends what matters to a named person.
What's changing in advertising and media
The morning numbers drive the day
Yield, pacing and campaign reports are now produced by agents. If they are wrong, every decision after them is wrong.
Ad operations run on many platforms
Each ad platform ships its own agents. None of them answers to your rules.
Clients ask for proof
A brand asks why its budget moved. The answer must be a record, not a reconstruction.
Two risks the layer removes
The agents you can't see, and the model that gets retired.
Agents you don't know about
In advertising and media, agents arrive through vendor updates and team pilots. LeafCraft finds all of them, gives each an owner, and brings it under your rules or removes it.
A model that gets retired
An agent built straight on one model has to be rebuilt and re-approved when that model is retired or repriced. On LeafCraft you switch the model for that agent in config and keep everything else. Months and a budget, saved.
- The model is retired or repriced
- Prompts, tests and sign-offs rebuilt
- Months of work, a new approval cycle
- The history stays with the old tool
- Pick another model for that agent
- Switching is a config change
- Test it against your own record first
- Rules, limits, owner and memory stay
Why it matters now
In advertising and media, the agents arrived before the rules did.
Advertising and media companies make hundreds of small decisions a day about where money goes. Agents now make many of them. The layer gives each agent a limit, a checker and a record, so the morning numbers can be trusted, a budget move can be explained to a client, and an agent from any platform follows your rules.
The core infrastructure
What LeafCraft runs for advertising and media.
One team
Serious moves go by size and impact to named people: the yield analyst, the revenue head, then senior leaders.
How it works02Your rules
You decide what anomaly, pacing and ad ops agents may change alone, what needs a person, and what they may never touch, such as a client's live budget.
How it works03Your memory
Every run, check and decision is kept with the reasons of the agents and the people, on your side, so clients and auditors can see how a number was reached.
How it works04Your budget
Every run, agent and agent type has a cost limit set before the work runs, so daily monitoring is a cost you can forecast.
How it worksAI and people, one team
Your advertising and media team, with AI on the org chart.
The agent prepares the case. Your person makes the call and writes why. A separate audit agent checks the decision against your rules.
What changes for you
How it helps your people
Who it helps in advertising and media.
Leaders who ask first
Questions teams ask
How do we know a run was done right?
Every run is checked and graded against your rules, and every step is recorded: what each agent was given, what it handed back and what it cost.
Can alerts reach our team where they already work?
Yes. The right person hears about it on Slack, Microsoft Teams or email, and their decision moves the work on.
Can we use a different model for each agent?
Yes. You pick a model for each agent, from OpenAI, Anthropic, Google Gemini, Mistral and others, or a local model. Switching is a config change, and the record stays with you.
Bring one advertising and media process.
We'll map it with you: which roles are AI and which are people, who decides, who checks, what it costs and what gets recorded.