Decide.
The decision is the value — not the generation.
Anyone can make AI write an email. The hard part — and the value — is the call before it.
Who to reach, which offer, on which channel, at what moment — and whether to act at all. That decision is where retention is won or lost; the copy is just the last mile. Flash's AI agents make that call, reading through Capture's governed semantic layer, never raw tables — and the value scales with how much of the decision you let them own.
Loop
Autonomous, under your guardrails
Hire an AI employee: give it the SOP, set the guardrails, and let it do the real work.
SoClaw is Flash's autonomous decision teammate: it reads the governed semantic layer one member at a time and makes the actual call — act, or leave them alone — inside enforced guardrails (opt-in only, spend caps, frequency limits, an untouched control group, instantly pausable, off by default). That same bounded-decision discipline runs wherever Flash acts for you — three places it already does the deciding:
Pick the one gesture — or nothing.
For each high-value customer going quiet, SoClaw chooses a single fitting move — a few bonus points or a right-sized coupon — or decides to leave them alone. It proves the extra revenue against an untouched control group; any real email or text is drafted for a person to send.
Opt-in · spend caps · control-group-proven
Learn more →Clear the easy ones; escalate the rest.
Uploaded receipts are read by OCR and auto-approved into points the moment confidence clears the bar with no validation errors. Anything uncertain — plus social & member content and marketplace / platform orders — drops into one human review queue. The machine clears what's clear; people judge the doubtful.
Confidence threshold + validation · human queue for the rest
Learn more →Rejected before a point is issued.
Self-referrals, referral cycles (A→B then B→A), duplicate events and over-limit claims are blocked before any points are awarded — and members who look like one household are flagged for review.
Self / cycle / duplicate / rate guards · household flag · rules that can't be talked out of
Learn more →Four ways AI decides
Not all AI decisions are equal.
Different decisions carry different risk, so they earn different amounts of autonomy. Flash spans the whole spectrum — from an agent that acts entirely on its own inside a fenced scope, to one that simply surfaces what you should look at. More autonomy where it's safe; a human in the loop where it matters.
AI decides — and acts — on its own.
Inside a scope you fence off, the agent runs the whole call: it picks the at-risk member, chooses a personalized offer or a deliberate hold, sends it, and measures the lift against an untouched control — one member at a time, with a budget cap, human approval on anything that moves money, and an instant pause.
- Who decides
- The AI
- Who executes
- The AI
- Your role
- You set the fence.
You state the goal; AI returns the plan.
Tell it the intent — “win back lapsed VIPs before the holidays.” The agent researches your members, segments and purchase history and comes back with a complete campaign plan: the audience, the offer, the channel, the timing, the creative brief. You review it, adjust it, confirm it — then it runs.
- Who decides
- AI proposes · you approve
- Who executes
- Automation
- Your role
- You confirm the plan.
AI surfaces the campaigns worth running.
You didn’t ask, but the agent read your base anyway: an at-risk segment forming, an untapped cross-sell, a campaign worth launching this week. It brings them to you as ready-to-launch suggestions with the reasoning behind each. You pick the ones worth doing.
- Who decides
- You choose from AI’s options
- Who executes
- Automation
- Your role
- You pick what runs.
AI turns the data into a call you can make.
Scan-to-redemption data becomes plain-language insight — across the whole business, a single campaign, or one member: the anomaly worth chasing, the trend behind the numbers, the next-best-action panel. It sharpens the decision; you make it.
- Who decides
- You, better-informed
- Who executes
- You
- Your role
- You read, then decide.
After the decision
Then — and only then — generation.
Once the call is made, the same platform generates everything needed to act on it — your brand voice, the audience, the campaign, the creative, the compliance copy. Generation is real, broad and good; but it's the last mile that executes a decision, not the value itself.
A beautiful email sent to the wrong person at the wrong time is still waste. Generation only pays off when the decision in front of it — who, what, when — is right. That's why the decision is the value.
Brand Kit & Voice →
Your colors, logo usage and tone of voice — discovered and generated once, so everything downstream sounds like you.
Segments →
A plain-language description becomes a governed, query-checked audience, ready to activate.
Campaigns →
An intent becomes a complete, on-brand campaign — audience, offer, channel, timing and content.
Email & creative →
Copy written per member, layout built from blocks, product images and ad posters — on brand, at scale.
Compliance copy →
Privacy and compliance statements drafted from your policy, staged for human review before they go live.
Product content →
AI-written product introductions for your catalog, so every item is ready to merchandise and recommend.
Every one of these is generated after a decision sets the direction — and sent across channels →
The capability behind every decision
Autonomous or advisory, every one of these decisions rests on the same thing: a governed semantic layer. It's what makes an AI decision trustworthy enough to act on.
The AI decides through certified definitions — not raw tables.
A decision is only as trustworthy as the numbers under it. So the agents never guess at raw tables. They read through a governed semantic layer — every business metric defined and certified once, computed one way. The number an agent acts on is the number on your dashboard and the number in your API. One definition, read by all three.
That's what lets you hand a decision to AI at all: it's reasoning over the same certified facts you'd check yourself — so an autonomous call and a human call start from the same truth.
Explore the semantic layer →One governed semantic layer
Defined once · certified · computed one way
AI agents
same number
Dashboards
same number
API & MCP
same number
And the predictions under those decisions are glass-box too.
Who's likely to leave and what they're worth, when each member is due to buy again, who'll click, which products go together — every score computed from your own data with the math visible, and nothing shown when the data can't support an honest answer.
More autonomy where it's safe, a human in the loop where it matters.
Related reading
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Dashboard
Real-time scan-to-redemption data as KPI trends, funnel diagnostics, and a rule + LLM next-best-action panel — plus retention curves by signup cohort and a 14-day revenue outlook that's honest about being a projection, not a commitment.
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The Slack agent that hands governed, audited numbers to Claude in-thread: daily anomaly scan + human-approved coupon-send. Early access.
Read more CapabilitySoClaw — AI Win-Back
An autonomous AI teammate that wins back high-value, at-risk customers one at a time — a personalized offer or a deliberate hold — and proves the real incremental lift against an untouched control group. Its worklist is ranked by where outreach changes the outcome — revenue at risk × each member's measured persuadability from the program's own control group. Off by default, capped, instantly pausable. Early access.
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Every AI action runs on a per-action authorization gear — automatic, human review, or forbidden — with an approvals console, a complete decision log, one-click undo, and automatic demotion to human review when an action starts misbehaving.
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The concept behind the governed AI stack: a world model of your business — objects, properties and relationships plus governed actions — as a metadata layer mapped over the data you already have, so AI knows what a customer is, what has happened, and what it may do about it.
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The organizing principle of the platform: three governed assets — certified metrics, governed tags, and behavior → intent — hung on one shared object spine, so every consumer (dashboard, AI agent, API, campaign tool) reads business meaning from one authoritative place and never disagrees.
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