Canonical: https://hypers.dev/

# Hyper-personalized Offers

hyper enriches authorized customer data, compares one digital-twin response per offer, then equips an AI agent with the rationale and context for a personalized call.

## From scattered signals to one customer.

hyper enriches authorized data, links every source, and leaves unsupported details unknown.

## Pick the channel most likely to connect.

### Read the channel signals

Bring together explicit preference, consent, recent activity, reachability, and the customer’s current context for every available channel.

### Simulate likely response

Compare portal, SMS, email, WhatsApp, social, and voice by the likelihood the customer will notice, respond, and continue.

### Choose the best eligible channel

Select the highest-ranked channel, show why it beat the alternatives, and preserve every consent or reachability exclusion.

## Make every call feel one-to-one.

hyper gives the 1:1 voice agent the selected offer, customer context, likely motivations, and safety guardrails—so every call begins informed and adapts to the person.

## Frequently Asked Questions.

### What does hyper do?

hyper enriches authorized customer data, creates an evidence-backed Customer Agentic Twin, collects one response to each exact offer, and gives a voice agent the resulting context for a personalized call.

### What data does hyper enrich?

hyper starts with authorized customer data, then adds permitted public evidence and explicit affiliation data. Every added signal keeps its source and confidence, while missing information remains unknown.

### Does hyper approve credit?

No. hyper provides an explainable recommendation and pre-orientation. Formal approval, rates, capacity checks, and disbursement stay with the credit process.

### How do the simulations work?

hyper freezes one evidence-backed Person profile, pairs it with each exact customer-visible Offer Environment, and collects one response per product on the same 1–5 acceptance scale. The response ranks the offers, with profile fit used only to break ties.

### Which products are covered?

The MVP can compare revolving, mortgage, education, debt-consolidation, women’s, complementary, and insurance or tax credit products.

### How is the result explained?

Each supporting signal links to evidence and confidence. The result includes the ranking rationale and rejected alternatives, while making clear that it is a hypothesis for the real call—not proof of what an individual will choose.

### Which channels can hyper consider?

hyper can rank portal, SMS, email, WhatsApp, social, and voice using preference, activity, reachability, and context. The MVP executes voice calls only.

### How does the voice call adapt?

The agent receives the customer context, selected offer, likely motivations, and safety guardrails. It explains the offer transparently, adapts to the customer’s questions, and records the outcome.