Governed moment activation
Turn heat, rain, a cricket win or a hazardous-air day into ad decisions your brand can defend: drafted by AI, approved by a named person, executed by a deterministic engine, and recorded where finance and brand safety can check them.
Moment marketing works. Governing it does not.
Brands already pay to react to heat, rain, match results and bad-air days. The rules live in spreadsheets and vendor consoles, nobody signs them off one by one, and when a CFO or a brand-safety lead asks why an ad ran, or what it earned, there is no record that holds up.
AI drafts the rules. A person approves. An engine decides.
An agent turns a plain-English brief into trigger rules over live signals. Each rule needs a named approval before it can run. One deterministic engine decides every city, every cycle, and writes each decision to a tamper-evident record anyone can re-verify.
Faster launches, brand safety by design, a number finance accepts.
A brief becomes reviewable rules in seconds; suppressions and a fail-safe creative keep the brand out of the wrong moment; a geo-holdout design states up front what lift it can and cannot detect.
How it works
Six steps. The model writes; it never executes.
- 01SignalsAdapters turn any feed into one reading: city, value, freshness, provenance.
- 02Agent draftsFrom a plain-English brief the agent drafts creatives and trigger rules, each with a reason.
- 03Person approvesA rule stays a proposal until a named approver signs it off.
- 04Engine decidesOne pure function resolves priority, suppressions, hysteresis and dwell, and can be replayed exactly.
- 05Platforms actEach decision maps to the ad-platform call that applies it (dry-run in this build).
- 06Evidence and liftEvery step is hash-chained; a geo holdout shows what the triggers earned.
Where it sits in the market
Incumbents already activate moment triggers at scale. What we did not find described publicly is the combination Kairos is built around: an agent drafting the rules, a named approval on each one, and a tamper-evident record of every decision.
| Product | Triggers on | Activates in | Governance described publicly |
|---|---|---|---|
| Silverpush Parallels | Self-described moment marketing platform: Sports Sync, TV Sync, Weather Sync | Google, Facebook, display networks, premium video | No approval workflow or decision log described on the product page |
| WeatherAds | 70+ weather, health and environmental signals | Google Ads, Meta, TikTok, YouTube, DV360, Google Ad Manager, Salesforce Marketing Cloud, webhooks | No approval workflow or decision log described on the product page |
| WeatherTrigger | Weather-condition rules | Pauses and resumes Meta ad sets (Google Ads listed as coming soon) | Per-check log of the weather reading, the rule result and the action taken |
| The Weather Company | Weather Targeting; audience targeting across 330M+ users | Its own properties, plus partner platforms such as The Trade Desk and Meta | Not described on the advertising page |
| Smartly | Feed-driven creative that can switch on offers, weather, location or behaviour | Google channels (and Meta through its Meta product) | Customer approves the templates and guardrails |
| Kairosconcept, this build | Any feed behind one adapter contract: weather and AQI live; cricket, traffic and markets simulated here | Decision feed, Meta dry-run calls and a Google Ads Script; no live connector in this build | Agent drafts, a named person approves each rule, every decision hash-chained and re-verifiable |
- Triggers on
- Self-described moment marketing platform: Sports Sync, TV Sync, Weather Sync
- Activates in
- Google, Facebook, display networks, premium video
- Governance described publicly
- No approval workflow or decision log described on the product page
- Triggers on
- 70+ weather, health and environmental signals
- Activates in
- Google Ads, Meta, TikTok, YouTube, DV360, Google Ad Manager, Salesforce Marketing Cloud, webhooks
- Governance described publicly
- No approval workflow or decision log described on the product page
- Triggers on
- Weather-condition rules
- Activates in
- Pauses and resumes Meta ad sets (Google Ads listed as coming soon)
- Governance described publicly
- Per-check log of the weather reading, the rule result and the action taken
- Triggers on
- Weather Targeting; audience targeting across 330M+ users
- Activates in
- Its own properties, plus partner platforms such as The Trade Desk and Meta
- Governance described publicly
- Not described on the advertising page
- Triggers on
- Feed-driven creative that can switch on offers, weather, location or behaviour
- Activates in
- Google channels (and Meta through its Meta product)
- Governance described publicly
- Customer approves the templates and guardrails
- Triggers on
- Any feed behind one adapter contract: weather and AQI live; cricket, traffic and markets simulated here
- Activates in
- Decision feed, Meta dry-run calls and a Google Ads Script; no live connector in this build
- Governance described publicly
- Agent drafts, a named person approves each rule, every decision hash-chained and re-verifiable
Each row paraphrases the vendor's own product page as read on 26 September 2026 (linked). Contract terms and unpublished features vary; absence of a public description is not proof a capability is missing. Kairos is an independent concept and is not affiliated with any company named here.
India's moments
Three high-attention, city-specific signals, all running through the same governed rules.
Cricket
SIMIndia's largest shared moment. Kairos treats a win as one more signal, guarded by a market-crash suppression so a celebration never runs on a bad day. Simulated here; a licensed ball-by-ball feed plugs into the same contract.
Air quality
LIVE·open-meteoWhen Delhi's AQI turns hazardous, outdoor imagery is wrong for the moment and the brand. Read live per city, and handled by the same approved rules as every other signal.
Monsoon
LIVE·open-meteoA four-month season that arrives city by city. Per-city rain rules with hysteresis stop the creative flip-flopping at the edge of a drizzle.
Why now
The category is old; the authoring step just changed.
Agents can now draft the rules
Language models reliably turn a business brief into a constrained rule structure. The costly part of trigger marketing, writing and maintaining rules, gets cheap; the new bottleneck is trust, so approval and evidence have to be built in rather than bolted on.
Signals are cheap; defensible decisions are not
Weather, air quality and event data are widely available. The scarce layer is the one that turns them into decisions a brand, a regulator or a CFO can inspect afterwards.
India's moments are high-attention and city-specific
Cricket, air quality and the monsoon move attention city by city, in a market where media efficiency decides budgets. Incumbents already trigger on sports and weather; governed, auditable authoring is the gap.
What is real in this build
LIVEWeather and air quality, fetched per city from Open-Meteo's public APIs. The decision engine, the approval gate, the live AI rule drafting and the hash-chained evidence ledger are fully working software, verifiable from the Ops page.
SIMCricket, traffic and market feeds are deterministic, labelled simulations, each swappable for a licensed feed without touching the rules. Ad-platform activation is dry-run. The ROI page is an outcome model: the engine's decisions are real, the conversion response is an assumption you can change.
SCRIPTEDWhen the live model is unavailable or its daily budget is spent, Studio falls back to a deterministic planner, labelled SCRIPTED, never passed off as the model.
The Frosty brand, its campaign and all spend figures are synthetic. Kairos generalises an earlier single-city weather prototype into a signal-agnostic engine.