How the system of decision works.

the momentsCommerce Infrastructure × the modelsCommerce Intelligence × the offersCommerce Doctrine = the decisionsThe IH Score and more

Intelligent Handshake is built as three components that multiply. Take any one away and the decision is worth nothing: no moment, nowhere to act; no model, no judgment; no offer, nothing to choose.

• What we operate

  The moments: Commerce Infrastructure. It carries a decision into the live revenue path: before the greeting, before the paint, at the order.

• What compounds

  The models: Commerce Intelligence, and the outcomes that train them. Every decision writes back what the visitor did, so the intelligence builds on itself and cannot be bought.

• What scales

  The offers: Commerce Doctrine. Proven judgment about what works, written down as doctrine and produced at scale with AI, so the models always have the right thing to choose.

The moments.

A moment is anywhere a visitor is in front of you and about to choose: who is this, what are they worth, and what do we show them, answered before anything is shown. Each product is a moment, and every moment runs the same six stages.

• The callIntelligent Call
• The pageIntelligent Page
• The orderIntelligent TV
• The inboxIntelligent Email
• The adIntelligent Ad
• The mailboxIntelligent Mail

1. SignalThe visitor arrives: a call connects, a page loads, a button is about to be pressed. DNIS and ANI on the call; the Intelligent Tag on the page.
2. IdentityThe moment opens. Nothing shown yet, everything still changeable. The visitor is resolved, cross-device.
3. GraphThe visitor is matched against the portfolio customer graph: one durable view across brands, devices, and channels.
4. DecisionThe standard decision model scores the visitor and chooses the offer and the path. Inline, in milliseconds, non-blocking. Other models from the model library plug in here.
5. ActivationThe moment acts on it: the route, the page, the order button, the send.
6. AttributionThe moment closes. What the visitor did is attributed to the decision that caused it, kept as a Decision Record, and used to train the models.

If Intelligent Handshake is unavailable, the page still loads and the call still connects. Nothing in the revenue path waits on it.

The three capabilities your stack is missing.

One graph. One decision layer. Every channel.

Every signal enters once. The graph compounds. Every decision uses everything, and every outcome teaches it.

↺ Every outcome trains the graph and the models. All three are IH proprietary.

Inside the models.

A decision platform, not a dashboard. The models are where the value accrues: they learn from every decision across every moment, and they are the reason the hundredth decision is better than the first.

• SignalEvery interaction, event, and piece of the brand's own first-party data, resolved to identity. Every signal enters once.
• GraphThe portfolio customer graph: one durable state per person across brands, devices and channels.
• FeaturesMarket, location and season; product, offer and creative; the visitor, the action, and the decision.
• Model libraryThe asset we keep buildingPropensity, value and lifetime value, affinity and intent, risk, and path ordering. Versioned, registered, and retrained on every outcome. Every deployment adds to it, and it is the part of Intelligent Handshake that cannot be bought by starting later.
• DecisionRealtime scoring in milliseconds: policy, ordering, and the score returned to the moment.
• RecordEvery decision written back as a Decision Record, kept in the Decision Ledger.

What a decision can set.

The same models, pointed at whichever lever the moment offers.

• Offer and bundlePage, call
• Price ladderPage, call
• Path orderOrder button
• RouteCall
• Risk postureEvery moment
• CreativePage, ad, email
• Send timeEmail, mail
• SuppressionEmail, ad, mail
• Media mixAd

The offers: judgment sets the rules, AI fills the grid.

A score is only as valuable as what it has to choose from. The offers are the oldest asset in the system: decades of direct response judgment about which offer works, for which buyer, on which channel. Written down, that judgment becomes something models can act on and AI can produce at scale.

1. DoctrineJudgmentWhat works, for whom, on which channel, written down as rules: offer architecture, price ladders, script structure, proof points.
2. GenerationAI at scaleEvery cell filled to the doctrine. Thousands of on-brand variants in hours, not a studio queue.
3. SelectionThe modelsThe score picks which variant this visitor sees, at this moment, in milliseconds.
4. GradingThe recordWhat was shown and what happened comes back as a record. Variants are ranked by revenue, not by opinion.

LearningThe grading updates the doctrine. Round four is better than round one because the buyers said so.

One score. Six states.

• HHighFull offer, premium path, live agent.
• MMediumStandard offer with a reason to decide now.
• LLowEntry offer, lighter-weight handling.
• NNon-buyerSelf serve path with a simple offer; agent time protected.
• RRiskVerification before value.
• UUnidentifiedDefault experience; the session still feeds the loop.

The flagship model. The IH Score is the standard model in the model library. Other models, and custom models built on a brand's own outcomes, decide alongside it.

Ordered by realized value. In live deployments, revenue per session falls in exact decreasing sequence from H to U.

Three ways to take the platform.