From answers to action: AIRA now runs a full analyst team for you
Historically, the promise of "AI for marketing analytics" has meant one thing: you ask a question, you get an answer. Useful — but it puts all the pressure on you to know what to ask. And the insights that actually move revenue are usually the ones sitting in a corner of your data that no one has the time, or the specific hunch, to go dig for.
Today we're changing that. We've shipped a new intelligence layer called AIRA Insights — and it's not a "here's a tip" widget. It's a multi-agent analysis system that investigates your business on its own and tells you what to do next.
A real example first
Here's an actual recommendation the system generated:
Launch a targeted win-back offer for 930 dormant high-value customers ($870K).
These customers have $500+ in lifetime spend (avg $935, 3.19 orders) and haven't ordered in 90+ days. Because average lifetime spend declines the longer customers stay dormant, this $500+ subgroup is meaningfully more valuable than the broader dormant pool — and warrants a dedicated reactivation offer, not a blanket blast. Channel: email. Timing: next 2–4 weeks.
No one queried for this. No dashboard was configured. The system found the segment, quantified the opportunity, reasoned about why it matters, and recommended a specific play — with the timing and channel attached.
That's the shift: from analytics you operate to analysis that comes to you.
How it works
Every time a sweep runs — on a schedule, or manually from the Insights page — a team of specialist AI analysts goes to work. Six analysts, each owning one dimension of the business:
Seasonality
Top segments
Product affinity
Channel performance
Dormant high-value customers
Campaign performance
Each analyst queries your workspace's live data directly — Shopify, Klaviyo, GA4, Meta, and more. This is the part that matters: nothing is guessed or generated from thin air. Every finding is computed from your real orders, customers, and campaigns.
Once the analysts finish, a synthesis agent combines everything into a maximum of seven prioritized recommendations. Each one is backed by linked, evidence-based insights: the metric, the date range analyzed, the sample size, and a confidence score. And the whole pipeline runs as a background job — no monitoring, no waiting around.
What you'll see on the Insights page
Recommendations come with a priority, a stakes tier (how much is riding on the decision), and a confidence ring. Each one has one-click Accept / Adjust / Dismiss — plus Undo if you change your mind, and full visibility into who made each decision and when.
Insights are the evidence behind those recommendations: headlines, key-stat tiles, and hover tooltips explaining every element. The tab defaults to your latest sweep, so you're always looking at the current picture — with full history one click away.
The part that makes it a system, not a feature
Here's what turns this from a clever report into something that compounds: it learns from your decisions.
When someone dismisses a recommendation with a reason, the next sweep sees that — and won't re-propose it unless materially new evidence shows up. Accepted recommendations get tracked toward outcomes over time, building a track record of what actually worked. The system gets more tuned to how your team thinks with every sweep.
It lives inside AIRA, too
You don't have to go looking for it. Ask AIRA in chat — "show me our insights" — and it pulls your live recommendations and renders them as rich, interactive cards, right in the conversation.
Getting access
AIRA Insights is available now to workspace admins and owners on plans that include the insights feature.
📖 Full documentation: app.accessfuel.com/docs/analytics/insights
This is the direction we're building toward — AIRA that doesn't just respond, but goes looking, so the opportunities hiding in your data don't stay hidden.
Let AIRA find your next win at accessfuel.com
