How do you catch wasted ad spend before the month closes?
An ad performance AI Employee that runs each day, reads campaign spend and performance across your search and social ad platforms, checks budget pacing, CPA and ROAS drift, and underperforming ads and keywords, and posts one ranked list of findings and recommendations to Slack. It never changes a budget, pauses a campaign, or edits an ad itself.
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Paid ad spend drifts quietly. A campaign paces ahead of budget three days into the month. A cost per acquisition creeps up for a week before anyone notices the trend line. A keyword that used to convert keeps taking budget from ones that still do. None of it is a single dramatic failure. It's a slow leak across two ad platforms that nobody has time to check line by line every morning. The usual fixes don't hold up. Each platform's native alerting fires on its own thresholds and only sees its own account. A weekly spreadsheet review is thorough, but a week is a long time for a pacing problem or a CPA spike to compound. And automated bid and budget tools that act on their own remove the one thing a marketing team actually wants to keep: the decision.
The ad performance AI Employee runs once a day. It reads campaign spend and performance from your search and social ad platforms, checks budget pacing against each campaign's monthly target, computes CPA and ROAS drift against trailing performance, flags underperforming ads and keywords and any spend or click through anomalies, and drafts prioritized recommendations such as pausing a specific ad, shifting budget toward a better performer, or adding a negative keyword, before posting the ranked list to Slack. It writes nothing back to either ad platform.
See exactly how the work gets done.
Runs on a daily schedule
Once a day, a fresh run recomputes pacing and drift from the current state of both platforms. Nothing carries over between runs.
Carries the optimization playbook as a skill
What counts as off pace, how much CPA or ROAS drift is worth flagging, what makes an ad or a keyword 'underperforming,' and how a good recommendation is worded travel with the AI Employee as a skill. Tighten a threshold or add a new anomaly pattern and it's a change to the skill, not a one off instruction.
Connects to the ad platforms read only, with permissions you set
It reads daily spend, clicks, conversions, and cost per acquisition per campaign, ad, and keyword from the search platform, and the same across the social platform's placements, then posts once a day to Slack. It has no write access to either platform, and connects with permissions you set; credentials stay in memory, never written to disk, never exposed to the model.
Recommends, never acts
Its only actions are reading the two ad platforms and posting to Slack. It recommends pausing an ad, shifting budget toward a better performer, or adding a negative keyword. It never pauses, edits, or reallocates spend itself. That decision, and the click that executes it, stays with the marketing team.
Posts the ranked findings
Each day's message lists what needs attention: campaigns off their budget pace, ads or keywords with CPA or ROAS drifting the wrong way, underperformers worth pausing, and anything anomalous, each with the numbers behind it and a specific recommended action. The marketing team reads it and decides what to actually change.
Runs in your environment
Every run happens in your own infrastructure, reaching only the two ad platforms. Your data never leaves it; only the Slack post does.
Recommend only
The AI Employee has no write access to either ad platform. It cannot change a budget, pause a campaign, or edit an ad. It can only report and suggest.
One post a day
Its single output is one ranked Slack post per run. It takes no action between posts and touches no spend directly, ever.
Credentials stay protected
The search and social ad platform credentials connect with permissions you set; they stay in memory, never written to disk, never exposed to the model.
You own every rule
The optimization rules, the thresholds, and the per platform permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
The pacing check, the CPA and ROAS trend, and the underperformer scan that used to require opening two dashboards now arrive as one ranked Slack post every morning, each finding carrying the numbers and a specific recommendation. The AI Employee only reads and recommends; the marketing team decides what to pause, shift, or exclude.
Every day
Spend and performance rechecked across both platforms
Recommend only
Nothing is ever paused or reallocated automatically
2 platforms
Search and social ads watched in one daily post
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do AI Employees catch what competitors shipped overnight?
Checks competitor sites, changelogs, and pricing pages daily, diffs them against the last run, and posts a short summary of what actually changed to Slack. Read only, it takes no action beyond posting.
×How do you stay on top of every brand mention with a reply ready?
Searches the web daily for new brand mentions, classifies sentiment, dedupes against what it has already reported, and posts a digest to Slack. It never replies or posts anywhere itself; notable mentions get a draft, never a sent reply.
×How do you keep social posts drafted before every launch date?
Reads the content calendar daily, drafts LinkedIn, X, and Instagram copy for anything launching or publishing soon, and holds the batch in Slack with each scheduled date. It publishes nothing itself.
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