We built these systems ourselves, for our own clients. They are not a product we sell, and AI doesn't run your account on its own.
Why we built our own AI agents
An account manager can look closely at 5 or 6 Klaviyo accounts a day. Problems don't wait for the weekly check. A form starts letting bots in on a Tuesday, a flow breaks after a theme change on a Thursday, and by the monthly report you've lost 3 weeks of revenue.
So we built agents that look at every account, every day, and tell the team what changed. We call this system Retention Radar. The team spends its time fixing things and planning, not hunting for them.
The 5 pillars
1. Every account checked every day
Our AI agents check 30+ client Klaviyo accounts every day. When something is off, the team hears about it the same day. The 3 we catch most often:
- Bot sign-ups. Fake profiles that join through a form, hurt deliverability and inflate your list costs.
- Broken flows. A flow that stopped sending, lost its trigger or is missing a message.
- Revenue drops. Flow or campaign revenue that falls below its normal range.
2. Over 150 flow A/B tests, judged the same way every time
We run over 150 flow A/B tests across our clients at any time. An agent judges each one against a fixed scorecard, so a test isn't called early because one variant had a good weekend, and every winner clears the same bar.
3. First flow live within 72 hours of access
Our flow pipeline takes a flow from brief to plan to copy to design frames to build. The steps are the same for every brand, so your first flow is live within 72 hours of us getting access.
4. We build what the integration leaves out
When a platform doesn't send the data Klaviyo needs, we build the missing piece. Checkout Champ's Klaviyo plugin sends orders, but not rebills, declines, cancels or pauses. We built our own event bridge that brings all 4 into Klaviyo. It took about 3 days, and it has been live since 26 Oct 2026.
More on this in our Checkout Champ Klaviyo agency page.
5. Churn risk, cancel saves and failed payments
For subscription clients we run a churn-risk model and the same cancel and failed-payment playbooks across brands. The model shows which subscribers are likely to leave, so the save happens before the cancel, not after.
It works. Kaori's cancel save went from 4.3% to 60%. Read the Kaori case study.
What AI does, and what our senior team does
AI flags. People decide.
| What our AI agents do | What our senior team does |
|---|---|
| Check 30+ Klaviyo accounts every day | Decide the strategy for your account |
| Flag bot sign-ups, broken flows and revenue drops the same day | Work out why it happened and fix it |
| Judge over 150 flow A/B tests against a fixed scorecard | Choose what to test next and why |
| Score subscribers by churn risk | Build the cancel and failed-payment offers |
| Speed up the flow pipeline from brief to build | Write every email and SMS, and sign off every send |
No email goes to your customers without someone on our team reading it first.
Proof
- Klaviyo Master Platinum Partner, top 2.5% worldwide
- Loop Platinum Partner
- Founder Bogdan Mihalache is a member of the Klaviyo Partner Advisory Council
- 140+ DTC brands over 5 years
- $59M+ revenue attributed to Klaviyo
- 4.5 on Trustpilot
Book your free Klaviyo check
We look at your Klaviyo account the way our agents do: sign-up quality, flows that should be sending and aren't, and where revenue is leaking. Then a senior strategist tells you what to fix first.
