Activate · AI Actions
The agent doesn't just recommend. It acts — under guardrails.
Most "AI for marketing" stops at a suggestion you still have to carry out yourself. Flash's AI engine continuously reviews every account, decides the next best move from real data, and — for the safe, high-confidence cases — does it. Anything that spends money waits for a person.
A live decision advisor that proposes and acts under approval — not a fully autonomous system.
- 1
Reviews your data
Reads your real signals — members, engagement, redemptions, channels.
- 2
Checks the rules and compliance
Drops anything that breaks consent or policy before it's ever considered.
- 3
Avoids repeating itself
Skips anything it already acted on in the last day, so nothing fires twice.
- 4
Asks the AI for a recommendation
Stays reliable even if the AI service has a hiccup.
- 5
Keeps only high-confidence ideas
Weighs each idea and only the ones it's confident in move forward.
- 6
Acts or asks a person
Decides whether it's safe to act on its own, or hand it to a person.
acts on its own
Safe, high-confidence cases — with a short window to cancel.
asks a person
Everything else — anything that spends money waits for approval.
Illustrative steps · works from your real data, never invented
The problem
A recommendation that nobody executes is just a slower way to do nothing.
Insight, then silence
The dashboard flags a dormant segment on Tuesday. By the time someone schedules the send on Friday, the window's gone.
Autonomy you can't trust
"Fully autonomous" tools either do too little to matter — or quietly spend money on a judgment call you never signed off on.
Made-up numbers
An AI pointed at your data with no safeguards will helpfully invent a lift figure. Now your action is built on fiction.
How it works
One disciplined process, with a person on anything that matters.
A background AI engine continuously reviews every account. Each pass reads your data, checks the rules and compliance, avoids repeating itself, asks the AI for a recommendation, keeps only the ideas it's confident in, applies the safeguards — then either acts on its own or hands the idea to a person.
How an action runs
Acted on — but never beyond recall.
A short window to cancel
10s · 9s · 8s …Every action waits a beat before it goes out — a person can pull it back first.
Confidence check
high confidence onlyAn action earns its way to you.
Re-activate dormant VIPs
94% confident · surfacedRe-route a wobbling channel
86% confident · surfacedLow-signal nudge
62% confident · heldWhen it isn't confident enough, the idea is never shown. When it is, the safeguards — how urgent it is, how many people it touches, and how risky it is — decide whether it can act on its own or has to wait for a person.
Decide, then act
The engine proposes the next best move, then carries it out — with a short window to cancel before anything goes out.
Reliable AI
It only works from your real data, and stays reliable even if the AI service has a hiccup — so the engine keeps deciding.
Act on its own or wait
Safe, high-confidence cases it acts on by itself; everything else — and anything that spends money — goes to a person.
Why it's different
It acts — but only inside lines you can see.
Plenty of tools recommend, and a few claim full autonomy. The difference is an engine that closes the gap from insight to action for the safe cases, and stops cold at the one step that moves money.
Typical approach
Recommendation engines
Surface a chart and an idea; a person still has to do the work.
Flash, by design
For safe, high-confidence cases the engine acts — re-activating a member, picking a better channel, live today.
Typical approach
"Fully autonomous" black boxes
Act on a judgment call you never signed off on, with no way to pull an action back.
Flash, by design
It only acts when it's highly confident, always inside clear safeguards, with a short window to cancel everything it sends.
Typical approach
AI bolted on with no safeguards
Invent numbers to be helpful and act on the fiction.
Flash, by design
It only works from your real data — it won't make numbers up — and it stays reliable even if the AI service has a hiccup.
AI & innovation
From an in-product engine to an agent in your Slack.
The same idea — decide, propose, and for the safe cases act, under guardrails and human approval — shows up two ways. In the product, an AI Actions panel sits in your Flash dashboard. In Slack, Smart Outbox (SoTag) brings the same loop to the channel where your team already works.
Grounded, not made up
Every proposal reasons over your real data. It only works from what's actually there — if there's no basis, it doesn't invent one.
Reliable by design
It stays reliable even if the AI service has a hiccup, so the engine keeps deciding — and it runs each action once, never twice.
In Slack, with a person on the money
Smart Outbox (early access) scans for opportunities daily and, before anything that spends money, locks the exact audience and offer and waits for a person to approve with a single tap — with cancel and undo.
Straight talk on autonomy: this is a live AI decision advisor that proposes and acts under human approval — not a fully autonomous system. Today it can carry out a couple of action types on its own (like re-activating a member or picking a better channel); for everything else it hands a ready-to-go recommendation to a person. We'd rather ship an honest line you can govern than a headline you can't.
What changes for the business
Insight that becomes action on its own for the safe cases — and pauses for a person at the one step that spends money. Plain facts, not invented percentages.
high confidence only
an idea must earn its way before it ever surfaces
cancel window
every action can be pulled back before it goes out
a person on the money
nothing that spends money runs without approval
live in your dashboard
re-activating a member and picking a better channel, today