{"id":624488,"date":"2026-05-01T17:20:54","date_gmt":"2026-05-02T00:20:54","guid":{"rendered":"https:\/\/www.genesys.com\/blog\/post\/predictive-routing-isnt-about-cherry-picking-agents-its-about-delivering-better-outcomes"},"modified":"2026-05-03T17:25:35","modified_gmt":"2026-05-04T00:25:35","slug":"predictive-routing-isnt-about-cherry-picking-agents-its-about-delivering-better-outcomes","status":"publish","type":"blog","link":"https:\/\/www.genesys.com\/en-sg\/blog\/post\/predictive-routing-isnt-about-cherry-picking-agents-its-about-delivering-better-outcomes","title":{"rendered":"Predictive Routing Isn’t About \u201cCherry-Picking\u201d Agents \u2014 It’s About Delivering Better Outcomes"},"content":{"rendered":"

[vc_section full_width=”stretch_row”][vc_row][vc_column][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_row][vc_column][vc_column_text css=””]One of the things I hear most often from customers when we talk about AI\u00a0isn\u2019t\u00a0about the\u00a0technology\u2014it\u2019s\u00a0about the experience:<\/p>\n

\u201cWill this actually improve how we serve our customers?\u201d<\/p>\n

That\u2019s the right question. Because whether we\u2019re talking about automation, copilots, or routing, the goal is the same\u2014deliver more personalised, seamless experiences that make a real difference for customers.<\/p>\n

And in many cases, part of that experience still comes down to when a customer needs to speak to a person.<\/p>\n

Getting that interaction right matters even more\u2014because when a customer needs to speak to a human,\u00a0it\u2019s\u00a0usually for\u00a0something more complex\u2014and those moments are often what define the experience.<\/p>\n

This is where predictive routing comes in. And\u00a0it\u2019s\u00a0also where I hear one of the most common misconceptions\u2014that\u00a0it\u2019s\u00a0about sending the \u201cbest\u201d interactions to the \u201cbest\u201d agents.<\/p>\n

It\u2019s\u00a0not.<\/p>\n

At its core, predictive routing\u00a0is\u00a0about making better matches between customers and agents to improve outcomes across the\u00a0entire\u00a0operation.<\/p>\n

So,\u00a0let\u2019s\u00a0break down\u00a0what\u2019s\u00a0real \u2013 and what\u00a0isn\u2019t.<\/p>\n

The Myth: Predictive Routing Creates \u201cSuper Agents\u201d<\/h3>\n

At first glance, it\u2019s easy to assume that AI routing engines simply identify top-performing agents and funnel high-value interactions their way \u2013 while other agents remain underutilised.<\/p>\n

If that were true, you\u2019d expect a small subset of agents handling most of the volume, increased burnout among top performers, and a growing pool of underutilised agents spending more time idle with fewer opportunities to contribute. In that kind of model, you\u2019d see little to no uplift across the broader agent population\u2014but that\u2019s not how modern predictive routing works, and it\u2019s not how Genesys built it.<\/p>\n

We see this play out in practice. At\u00a0GoTyme Bank<\/a>, recently named one of the \u201c100 Most Influential Companies in the World\u201d by TIME, call volume has grown 30%. Predictive routing has enabled them to manage that increase\u2014not by overloading agents but by improving how work is distributed.<\/p>\n

The Reality:\u00a0It\u2019s\u00a0About the Best Match, Not the \u201cBest Agent\u201d<\/h3>\n

Genesys Predictive Routing uses machine learning models trained on historical interaction data to answer a much more nuanced question:<\/p>\n

\u201cWhich available agent is most likely to achieve the best outcome for this specific customer, right now?\u201d<\/p>\n

That shift\u2014from \u201cbest agent\u201d to best match\u2014changes how performance shows up across the entire operation.\u00a0The\u00a0\u201cbest agent\u201d for one customer may\u00a0not\u00a0be\u00a0the right fit\u00a0for another,\u00a0because\u00a0success\u00a0is contextual,\u00a0not absolute. When you look at it this way,\u00a0every\u00a0agent\u00a0has situations where\u00a0they\u2019re\u00a0the\u00a0best\u00a0fit\u00a0for\u00a0the\u00a0interaction\u00a0in front of them.<\/p>\n

And importantly, this\u00a0doesn\u2019t\u00a0concentrate\u00a0work on a small group of top performers\u2014it distributes work in a way that improves performance across the entire team.<\/p>\n

Moving\u00a0from static rules to dynamic intelligence\u00a0is where the value is unlocked.<\/p>\n

Outcome-Driven Routing: Where the Real Value Shows Up<\/h3>\n

Unlike rules-based routing (skills, priority, longest idle), predictive routing optimises for business KPIs and customer outcomes.<\/p>\n

In practice, organisations are already starting to extend predictive routing beyond traditional service metrics into areas like conversion, retention, and overall customer experience differentiation. Not as a replacement for core KPIs, but as a natural extension of the same matching logic.<\/p>\n

At\u00a0Virgin Atlantic<\/a>, predictive routing has been used to direct sales calls to the agents most likely to handle them efficiently. In that context, Virgin Atlantic saw improvements to both customer experience and revenue performance.<\/p>\n

What makes this possible is that predictive routing isn\u2019t tied to a single data point. It learns from multiple data points across interaction, agent and customer data\u2014identifying which agent behaviours lead to better results for specific customer segments, which interactions resolve more efficiently, and which pairings reduce repeat contact.<\/p>\n

As data maturity improves, the range of use cases continues to expand\u2014and with it, the opportunity to drive more meaningful outcomes across the business.<\/p>\n

Why This Lifts the Entire Team\u00a0(Not Just the Top 5%)<\/h3>\n

One of the most important\u2014and often overlooked\u2014benefits of\u00a0predictive routing is how it improves performance across the full agent population.<\/p>\n

    \n
  1. It reduces mismatch<\/strong>
    \nNot every agent excels at every interaction. Predictive routing helps align customer needs with agent strengths\u2014whether that\u2019s handling complexity, showing empathy, or driving efficiency\u2014resulting in higher success rates without increasing effort.<\/li>\n
  2. It elevates mid-tier performance<\/strong>
    \nInstead of overloading top performers, it identifies where all agents are most likely to succeed\u2014and routes accordingly\u2014improving overall performance across the team, not just at the top end.<\/li>\n
  3. It continuously learns and adapts<\/strong>
    \nModels retrain on new interaction data, adapting to changes in customer expectations and agent behaviour\u2014driving ongoing improvement without the need for constant manual tuning.<\/li>\n<\/ol>\n

     <\/p>\n

    Balancing\u00a0Speed\u00a0and Outcomes<\/h3>\n

    Another\u00a0practical concern we hear is how predictive routing balances decision quality with\u00a0timing.<\/p>\n

    In a live environment,\u00a0there\u2019s\u00a0always a trade-off to manage: do you route\u00a0immediately\u00a0to meet SLAs, or wait for the agent most likely to deliver the best\u00a0result?<\/p>\n

    In practice, predictive routing can be configured to optimise for both. It makes routing decisions in milliseconds within the guardrails you set\u2014such as timeout and service level targets\u2014so it balances sending the interaction to the best available agent without compromising standard SLA performance.<\/p>\n

    For example,\u00a0Rush University System for Health<\/a>\u00a0has deployed predictive routing across dozens of queues to better match patients with the right agents. The result has been a reduction in handle time ranging from 9% to 15%, helping streamline interactions in moments that are often stressful for patients.<\/p>\n

    What Customers Actually See<\/h3>\n

    What all of this translates into is\u00a0measurable\u00a0impact.<\/p>\n

    Organisations using Genesys Predictive Routing typically see 3\u201310% improvements in CSAT, 2\u20135% increases in first contact resolution, and 5\u201315% reductions in handle time, along with fewer transfers and repeat contacts. These aren\u2019t theoretical gains\u2014they\u2019re the result of consistently making better matches between customers and agents.<\/p>\n

    And at scale, those better matches\u00a0can\u00a0add up to\u00a0millions of better interactions.<\/p>\n

    From Better Decisions to Better Outcomes<\/h3>\n

    When you step back, predictive routing isn\u2019t really about routing.<\/p>\n

    It\u2019s\u00a0about making better decisions in the moments that matter most\u2014when a customer connects with your business.<\/p>\n

    And when you get those decisions right, consistently\u00a0and at\u00a0scale, the impact goes beyond efficiency. You create a system that continuously delivers better\u00a0experiences\u2014for your customers, your employees,\u00a0and your business.<\/p>\n

    To learn how Genesys can help you get more interactions right through smarter matching and continuous optimisation, reach out to our team:
    \n    https:\/\/www.genesys.com\/contact-us<\/a><\/p>\n

    Or explore our predictive routing capability accelerator<\/a>.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

    [vc_section full_width=”stretch_row”][vc_row][vc_column][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][\/vc_section][vc_row][vc_column][vc_column_text css=””]One of the things I hear most often from customers when we talk about AI\u00a0isn\u2019t\u00a0about the\u00a0technology\u2014it\u2019s\u00a0about the experience: \u201cWill this actually improve how we serve our customers?\u201d That\u2019s the right question. Because whether we\u2019re talking about automation, copilots, or routing, the goal is the same\u2014deliver more personalised, seamless experiences that make a real […]<\/p>\n","protected":false},"author":915,"featured_media":623410,"template":"","tax_priority":[],"tax_blogtype":[17766],"tax_blogcategory":[15928,13117,15990,18625],"tax_contenttheme":[14904],"tax_bundle":[],"tax_contenttheme2":[16139],"tax_capability_sitewide":[16201,16281],"tax_products_programs":[16477,17548],"tax_buying_job":[16633,16651],"tax_buyer_persona":[16887,16919,18552],"tax_sector":[],"tax_segment":[17079,17104,17125],"class_list":["post-624488","blog","type-blog","status-publish","has-post-thumbnail","hentry","tax_blogtype-genesys-executives-en-sg","tax_blogcategory-ai-and-machine-learning-en-sg","tax_blogcategory-cloud-en-sg","tax_blogcategory-customer-highlights-en-sg","tax_blogcategory-inbound-zh-tw-en-sg","tax_contenttheme-level-up-your-technology-en-sg","tax_contenttheme2-improve-customer-experience-en-sg","tax_capability_sitewide-ai-and-automation-en-sg","tax_capability_sitewide-inbound-en-sg","tax_products_programs-genesys-ai-en-sg","tax_products_programs-genesys-cloud-cx-en-sg","tax_buying_job-job-1-problem-identification-en-sg","tax_buying_job-job-2-solution-exploration-en-sg","tax_buyer_persona-business-en-sg","tax_buyer_persona-technical-en-sg","tax_buyer_persona-technical-en-sg-2","tax_segment-enterprise-en-sg","tax_segment-midsized-en-sg","tax_segment-smb-en-sg","tax_content_type-blog-en-sg"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/624488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/users\/915"}],"version-history":[{"count":4,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/624488\/revisions"}],"predecessor-version":[{"id":624497,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/624488\/revisions\/624497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/media\/623410"}],"wp:attachment":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/media?parent=624488"}],"wp:term":[{"taxonomy":"tax_priority","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_priority?post=624488"},{"taxonomy":"tax_blogtype","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_blogtype?post=624488"},{"taxonomy":"tax_blogcategory","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_blogcategory?post=624488"},{"taxonomy":"tax_contenttheme","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_contenttheme?post=624488"},{"taxonomy":"tax_bundle","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_bundle?post=624488"},{"taxonomy":"tax_contenttheme2","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_contenttheme2?post=624488"},{"taxonomy":"tax_capability_sitewide","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_capability_sitewide?post=624488"},{"taxonomy":"tax_products_programs","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_products_programs?post=624488"},{"taxonomy":"tax_buying_job","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_buying_job?post=624488"},{"taxonomy":"tax_buyer_persona","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_buyer_persona?post=624488"},{"taxonomy":"tax_sector","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_sector?post=624488"},{"taxonomy":"tax_segment","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_segment?post=624488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}