THE ASSISTED AGENT

Most contact centres are using AI for one phase of the call. The ones pulling ahead are using it for all three. This guide covers the operational case for AI-enabled agent assistance - what it is, what it fixes, and how to implement it in a way that compounds over time. Built for contact centre leaders who want more than a good demo.

Test Mode
This form is in Test Mode. Set as Raw html in Hubspot (Legacy Forms) before you switch off test mode.
First Name*
Last Name*
Email
Phone number
Which service are you interested in?
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

DOWNLOAD DETaILS

A practical guide to AI-enabled agent assistance for contact centre leaders. Covers the before, during, and after of every call - with the ROI case, a real-world scenario, and three actions you can take this week.

  • 42% of UK consumers have already switched provider due to poor contact centre experience - Voice of the UK Consumer 2026
  • 69% rate AI worse than humans for understanding their issue - the gap isn't the technology, it's the context being lost between calls
  • £175,000 - illustrative annual saving potential for a 50-agent team from a 50% reduction in wrap time alone, without reducing headcount
  • 50% wrap time reduction - what Agent Wrap Up Summary delivers, returning hours of capacity back to productive contact time every shift
  • 100% call coverage - from QA sampling to full-call insight, without adding resource

Most conversations about AI in the contact centre focus on what happens during the call. This guide argues the moments before and after matter just as much - and that getting them right is what separates a good contact centre from one consumers actually trust.

There is a version of AI adoption that looks impressive on a slide but doesn't move the metrics that matter. This guide is for leaders who want more than that. It covers what AI-enabled agent assistance actually is, what operational problems it solves, and how to build it in a way that gets better with every call.

The guide is structured to work cover to cover or as a reference by section. Each part builds toward a practical conclusion:

  • The problem consumers already see: What's costing contact centres customers and why the data is sharper than most internal metrics show
  • What's weighing agents down: Three operational pressures that turn capable agents into inconsistent ones. None of them are agent failures
  • The assisted agent: what good looks like: Before, during, after - assistance as a connected system, not a single product
  • After the call: Agent Wrap Up Summary: The post-call gap, made specific. What it does, the ROI case, and a same-customer scenario showing the difference a complete record makes
  • Closing the loop: How Wrap Up Summary, Conversation Analytics and Real Time Agent QA reinforce each other - from capture to coaching
  • Three things to do now: A short audit you can run this week. No platform change required to start

This guide is built for the people responsible for how well a contact centre performs — and how consistently.

  • Contact centre directors and operations leaders who want AI to move real metrics, not just demos
  • QA and quality managers looking to shift from sampling to full-call insight
  • Customer experience leads in regulated sectors — financial services, insurance, utilities, debt collection — where trust is a commercial asset
  • Anyone whose agents are still writing their own post-call notes under queue pressure

Whether you're a MaxContact customer or not, the guide is designed to be useful. The data comes from the Voice of the UK Consumer 2026 report and MaxContact's own platform metrics.

AI
Compliance and Regulations
Your Team