RUSHA AI for Internal Audits & Proactive Monitoring

This guide covers using RUSHA as your background account manager: two automated scans that run without you asking anything, so problems surface before a client notices them.

When to Use This

• You manage more accounts than you can manually review every day.
• You want to catch a spend spike, a lead drop, or a broken campaign before the client emails you about it.
• You want a defensible, data-checked diagnosis ready the moment a client asks "what happened?"

The Two Background Scans

1. Anomaly Detection

Runs automatically and compares each client's last 7 days against their own historical baseline (4–8 weeks back) across spend, conversions, revenue, contacts, deals, and email metrics. When a metric moves more than 2 standard deviations from that baseline — in either direction — RUSHA writes a diagnosis and files it as a draft.

Typical catches: a campaign that suddenly stopped spending, a lead-form conversion rate that collapsed, an email list that started bouncing harder than usual.

2. Correlation Detection

Runs separately and looks for strong statistical relationships (Pearson correlation, |r| > 0.7) between metrics across all of a client's connected platforms, over an 8-week window — e.g. "email click rate rises in lockstep with open rate," or "Meta spend increases track with organic search dips." RUSHA files at most one correlation draft per client every 7 days, so you're not shown the same relationship on repeat.

How to Review What the Scans Found

1. Go to Dashboard → RUSHA AI → Insights.
2. Click an insight to expand it. You'll see two views side by side:
   • Internal View — the blunt, exact diagnosis, written for you.
   • Client View — the same facts, reframed diplomatically, in case you decide to publish it.
3. Decide: Approve or Dismiss.

This step matters — a draft is never shown to a client on its own. You are always the human in the loop.

Using This as a Daily/Weekly Habit

• Morning check: open the Insights Feed across your book of clients before your first call. Anything sitting there is something RUSHA already found and verified — you're triaging, not hunting.
• Dismiss aggressively, approve selectively. Dismissing costs nothing — the scan itself is always free, whether it finds something or not. You only spend an insight credit when you decide a finding is worth surfacing to the client (see below).
• Use Internal View to prep, Client View to publish. The internal diagnosis is the fastest way to know exactly what happened before a call; the client version is what you'd actually want them to read.
• An unreviewed draft never expires. It sits at pending_review until you act on it — nothing is auto-approved or silently lost.

What This Costs

• The background scans themselves — running, finding nothing, or producing a draft you later dismiss — are always free.
• Approving a draft into something a client can see costs 1 insight credit from your monthly allowance. See Pricing, Quotas, & Billing for how the quota works.

Related Guides

• RUSHA AI for Client Calls & QBRs — using RUSHA live once you already know something's off.
• RUSHA AI for Client Reports & Proof of Value — what happens to an approved insight once it's published.
• Mastering the RUSHA AI Insights Engine — the technical deep dive on how the dual-voice system and guardrails work.