20 ad accounts. You cannot manually review each one every week.
At enterprise scale, the limiting factor isn't data—it's attention. A Head of Performance managing multiple brands cannot manually review every account and synthesise portfolio-level insight. Underperforming campaigns run for weeks; budget shifts get debated quarterly instead of when patterns appear. Alpomi aggregates signals into a prioritised Playbook so reviewers start with the highest-impact proposed tasks.
Why For enterprise look for this solution
The real operational pain we solve
Problem
Reviewing AI recommendations across 20 accounts manually is not scalable
Problem
Portfolio-level budget shift opportunities are missed because each account is reviewed in isolation
Problem
Underperforming campaigns in smaller accounts run undetected for weeks
Problem
Different team members applying different optimisation logic across brands creates inconsistent results
How AI Recommendations helps
Alpomi works across your portfolio simultaneously. It surfaces the most impactful Playbook items first—cross-brand budget opportunities, brand-level anomalies, and creative issues—in one prioritised feed. Any team member can review proposed tasks with the same context before acting in the ad platforms.
Before Alpomi vs After Alpomi
From pain to clarity with AI Recommendations
Before
Weekly performance review: Head of Performance reviews 8 brand accounts individually, takes notes, tries to synthesise into one view. 3 hours. Three items escalated to CMO.
With Alpomi
Weekly performance review: Alpomi AI summary shows portfolio-level anomalies, top 5 recommendations across all accounts, and which brands are overperforming vs underperforming. 20 minutes.
Before
Brand manager in Region A increases spend on a campaign that's actually underperforming vs regional baseline. No one with portfolio visibility catches it for 2 weeks.
With Alpomi
Alpomi flags the anomaly on day 3. Head of Performance reviews. Campaign paused. Budget reallocated to Region B where ROAS is tracking 40% above portfolio average.
What you get when you use AI Recommendations
Portfolio-level optimisation at individual-account speed
AI reviews all accounts simultaneously — you see the most important actions first
Consistent optimisation policy across all brands
No more individual brand managers applying different logic to the same challenges
Underperformance caught in days, not weeks
Anomaly detection across all accounts means nothing runs undetected at scale
Want the full technical breakdown?
See how AI Recommendations worksRelated features for you
These features work alongside AI Recommendations for for enterprise.
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Book a demo and we'll show you how AI Recommendations solves these exact problems for for enterprise.