ProfitBox360We automate the parts of growth work that don't need a human.
Reading dashboards, flagging anomalies, drafting the weekly report — a lot of the loop can run itself. We build the AI workflows that do it, so our time goes to the decisions that actually need judgment.
For teams who already have a growth process working and want it running faster and cheaper — not a team looking for AI to replace judgment, but one that wants the reading, flagging, and drafting work automated so senior time goes to the decisions that actually need a human. If your team spends hours every week pulling numbers into a deck before anyone gets to discuss what they mean, that's usually the first thing worth automating, and it pays back within the first month.
Good signs you're ready
- A recurring report or dashboard pull takes someone real hours each week
- Anomalies like a ROAS crash or an RTO spike get noticed late
- You want automation added to an existing process, not a new platform to migrate to
- There's already a person who'd review and approve what the automation drafts
The levers that move your numbers.
Every engagement starts by narrowing to the handful of levers that actually move the needle for a business like yours — not a generic checklist run the same way for every client.
Same methodology, applied to ai automation.
We integrate into your existing stack
Ad platforms, CRM, analytics, storefront, WhatsApp Business API — we connect automated workflows directly into the tools you already use and already trust, so there's no new dashboard to check and no migration project before value shows up.
We automate the reading, not the deciding
The workflow flags the anomaly — a ROAS drop overnight, a sudden spike in RTO on one SKU — drafts a hypothesis for why, and prepares the experiment to test it. A person still reviews and approves what actually ships; we're removing the hours of manual pulling and formatting, not the judgment call.
We shorten the loop from data to action
When a report used to take three days to compile and another two to get reviewed, the gap between 'something changed' and 'we responded' was a week or more. Automated, that same loop runs in a day or two — which matters most exactly when something's going wrong.
We start with one workflow, not ten
Rather than automating everything at once, we pick the single highest-friction manual process — usually a weekly report or an anomaly check — get it reliable, then expand. A workflow that's trusted after week one gets adopted; ten half-working ones get ignored.
Example work, not a generic pitch.
Overnight ROAS anomaly alert
Built a workflow that pulls ad account data every morning, flags any campaign with a ROAS drop past a set threshold, and drafts a one-paragraph hypothesis for the likely cause before the team's first coffee.
Automated weekly growth report
Replaced a three-hour manual pull across four tools with a workflow that compiles the same report automatically, leaving the team time to discuss it instead of build it.
RTO-risk flagging on new orders
Set up a workflow that scores incoming COD orders against historical RTO risk factors and auto-triggers a WhatsApp verification nudge on the highest-risk ones.