Prime your AI agents for personalized conversations.

Differentiate your business in an ecosystem filled with generic, uninformed AI agents.

ai agent priming

Benefits of priming your AI agent.

Priming your AI agent with a unique conversational context enhances its ability to interact with your prospect or customer, improving satisfaction and business outcomes.

how it works

Personalized Interactions

Increased Customer Satisfaction

Improved Conversion Rates

Supported Business Goals

how it works

Your agent is now Primed.
Give it a try!

Pretend you are a prospect or customer interacting with your company's AI agent in the following common scenarios.

Inquisitive Prospect

Likely to Churn Account

High-Value Customer

scenario: inquisitive prospect

You are interested in offers and looking around.

The AI agent knows you are a likely prospect and live in an urban area, who has:

Browsed the company site several times looking at high-end pricing plans.
Has an iOS smartphone on the latest version.
Expressed interest in international plan offerings.

Acquisition Model

The AI agent also knows that customers with your traits have a high likelihood of accepting offers for premium plans.

Offer Taker Model

scenario: likely to churn account

You are a single-line customer on old phone.

The AI agent knows you have a high propensity to churn and that your unique contributing churn factors are:

You have an old smartphone with a small screen.
You are running out of data, and have purchased additional high speed data allowance at extra cost.
You have visited the store several times, and are likely shopping around for other carriers.

Churn Model

The AI agent also knows you are a price-sensitive, persuadable customer and likely to accept a discount offer.

Persuadable Customer Model

scenario: high-value customer

You have a family plan with multiple lines.

The AI agent knows you have a high-propensity to upgrade with three lines and a family data plan, along with:

You have called in about adding Disney+ and ESPN streaming to your plan.
You have an associated tablet that is very old with minimal usage.
Accounts similar to yours have purchased accessories.

Premium Upgrade Model

The AI agent also knows you are a high-value, high-tenured customer with the potential to further grow your account.

Customer Lifetime Value Model

How it works.

The AI Agent Priming process builds on GlorifAI's traditional modeling process. After model training, unique customer profiles are constructed and supplied to the AI Agent for priming and customization.

Train Predictive Models

(Step 1)

Identify, acquire and connect data sources

Train, test and select the best models

Identify driving features for each customer or prospect

GlorifAI Task

Build Customer Profile

(Step 2)

Determine the semantic meaning for each driving feature

Build a model-level profile for each scored individual

Condense an individual's profiles into text context for the AI agent

GlorifAI Task

Supply Context to AI Agent

(Step 3)

Provide individual text context at the beginning of each conversation

GlorifAI does not supply the AI agent

Selection and deployment of the AI agent is determined by the client

Client Task

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