Personalize engagement
Deepen connections in every moment
by applying AI to customer engagement
Pivot between serving, selling, and retaining in 220 milliseconds or less.
Watch the case study
Always-on engagement
Fuel real-time responses to customers’ real lives
Adapt experiences to fit customers’ ever-changing needs with the leading platform for real-time decisioning, powerful enough to interpret customer behavior in the moment.
Understand an individual’s propensities, behavior, and needs in real time
Personalize engagement with real-time decisioning and AI at the moment of need
Improve conversions across every channel
Build more sustainable, compassionate relationships with always-on insights
Consistently powerful experiences
Realize the limitless potential of your data
The beauty of data lies in its ability to draw connections and strengthen them between you and your customers. Pega’s centralized decisioning model puts all available data to work, analyzing and re-decisioning on the spot – leading to consistently extraordinary experiences across the board.
Create and implement predictive and adaptive models in minutes, not weeks
Serve empathetic next best actions that align with what customers really need
Sit back as models self-optimize to increase engagement relevance
Drive significant impact to your top and bottom line
Real-time data activation
Instant insights for better customer experiences
Adaptive tech combined with insightful data allows you to engage proactively and respond to customers with agility. Analyze customer data signals across channels to activate experiences that go beyond expectations.
Consolidate your systems, data, and analytics into a unified experience
Ensure all channels adapt instantly together
Increase revenue, reduce churn, and drive long-term loyalty
Build efficiency and eliminate data silos in your organization
Interactive Demo
Watch how real time AI shapes every message around what your customers actually need in the moment — turning outbound into timely, relevant experiences that earn attention and action.
Want to hear more about the tech driving these outcomes? It’s all here in our leading platform for AI-powered decisioning and workflow automation.
Financial Services |
|
|---|---|
| Boost efficiency and automate middle to back-office processes | Personalized experiences for Financial Services |
Insurance |
|
| Nurture and grow your book | Personalized experiences for Insurance |
Communications |
|
| Increase loyalty and wallet share across service and sales | Personalized experiences for CSPs |
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Instead of centralized decisioning, the bank sends out segmented campaigns, so Marco gets different offers across channels from every line of business. He even sees offers he’s already declined.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Using Pega technology, the bank monitors customer interactions and predicts moments of need before they happen.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.
Context is key. Pega AI analyzes Marco’s behavior and recommends the bank’s next best action. Propensity modeling identifies the specific offer Marco is most likely to accept.