Afiniti Pairing

Afiniti Pairing uses AI to match customers with agents in contact centers, helping improve sales, retention, revenue, handle time, and CX without replacing routing systems.

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Overview

Afiniti is an AI-native contact center platform centered on outcome orchestration. Its products are designed to improve measurable results across contact center operations by using transparent AI, control-group validation, and decisions that can be explained and measured.

Afiniti Pairing is the product focused on customer-agent matching. It uses patented prescriptive AI to match each customer with the agent most likely to achieve the desired outcome, working within existing routing infrastructure rather than replacing it. The product is positioned for enterprise contact centers that want to improve sales, retention, revenue, handle time, and customer experience across inbound, outbound, and digital interactions.

Core capabilities

AI-driven customer-agent matching

Uses patented prescriptive AI to match each customer with the agent most likely to achieve the desired outcome, based on historical interaction and outcome data.

Real-time optimization at the moment of connection

Applies decisioning in real time when a new interaction begins, using current context and the patterns learned from prior successful matches.

Works alongside current routing logic

Runs within existing routing frameworks and influences the final match after routing rules and operational constraints have been applied.

Measured through live control groups

Uses transparent benchmarking and continuous A/B testing with a live control group to validate uplift and attribute impact to specific outcomes.

Designed for existing enterprise environments

Integrates into enterprise contact center ecosystems without replacing systems or requiring agent change management, and can use approved contextual data from existing systems.

Built for multi-channel contact centers

Supports inbound, outbound, and digital interaction channels in large-scale deployments.

Where it fits

Optimize live customer-agent matches
Use Afiniti Pairing when the main goal is to improve who gets matched with whom during live interactions, especially where the final customer-agent pairing affects revenue, retention, or handle time.
Improve performance without replatforming
Use it in environments that already have routing rules and operational constraints, and want a layer that improves the final match without replacing the existing stack.
Support multi-channel contact centers
Use it for inbound, outbound, or digital contact center operations that need the same outcome-focused matching logic across channels.
Validate AI-driven uplift
Use it when the organization wants clearer proof of impact, since the product measures uplift through transparent benchmarking and a live control group.
Support large-scale enterprise operations
Use it for enterprise deployments where scale, stability, and ongoing adaptation to changing customer and agent behavior matter.

Pros and Cons

Pros

Uses transparent benchmarking and continuous A/B testing with a live control group.
Designed to integrate without ripping out existing contact center infrastructure.
Supports multiple outcome goals, including sales, retention, revenue, handle time, and customer experience.
Can operate across inbound, outbound, and digital interactions.
Built for enterprise-scale environments.

Cons

The source does not provide pricing, packaging, or plan details.
The product is designed to work within existing routing frameworks, so it is not a full replacement for contact center routing systems.

FAQ

What is Afiniti Pairing?

Afiniti Pairing is an AI-powered customer-agent matching product within Afiniti’s outcome orchestration platform. It uses prescriptive AI to choose the agent most likely to achieve the desired outcome for each interaction.

How does Afiniti Pairing work?

It learns from historical interaction and outcome data, then applies that model when a new interaction begins. The product works within existing routing frameworks and influences the final match after routing rules and operational constraints are applied.

Does Afiniti Pairing replace existing routing systems?

Afiniti Pairing is designed to work within existing enterprise contact center ecosystems and does not require a rip-and-replace approach. The source says it adds intelligence without changing the underlying routing infrastructure.

What outcomes can Afiniti Pairing help improve?

The source says Afiniti Pairing can support retention, sales, revenue, revenue per interaction, handle time, operational efficiency, and customer experience outcomes. Which metrics matter most depends on the deployment.

How is impact measured?

Afiniti measures impact through transparent benchmarking and continuous A/B testing with an ongoing live control group, so organizations can compare optimized interactions with unoptimized ones.

Quick Facts

Category: Contact center AI / outcome orchestration
Primary product: Afiniti Pairing
Company: Afiniti
Website: afiniti.com
Deployment style: Works within existing routing infrastructure
Validation method: Live control group and continuous A/B testing