Kevin McGachy at Sabio highlights some key considerations ahead of any AI implementation in the contact centre.
Start With Data-Driven Intent Analysis Before Any AI Technology Investment
The foundation of any successful AI transformation lies in understanding your customers’ actual behaviour, not assumptions about it.
Sabio have seen remarkable results through their Intent Capture & Analysis (IC&A) approach, which analyses thousands of customer interactions to reveal genuine contact patterns.
When they worked with British Airways, analysing tens of thousands of calls uncovered that seven of their top ten contact reasons were completely unexpected.
Similarly, Churches Fire & Security discovered that 17% of all calls, again, tens of thousands annually, were simply requests to test fire alarms.
This data-driven insight enabled targeted automation strategies rather than costly wholesale system replacements.
Understanding why customers truly contact you eliminates guesswork and ensures AI investments address real pain points, delivering measurable ROI whilst maintaining service quality and creating opportunities for strategic automation initiatives.
Leverage AI Integration to Break Down Operational Barriers and Scale Globally
Modern AI solutions excel when they integrate seamlessly with existing platforms to eliminate traditional operational constraints.
Sabio’s recent award-winning collaboration with Transcom demonstrates this perfectly, by integrating real-time translation capabilities with conversational AI tools, they’ve enabled contact centre agents to converse with customers in over 100 languages regardless of their native tongue.
This breakthrough allows recruitment based on knowledge and skills rather than language capabilities, with cost reductions of 25% to 65% depending on markets and use cases.
Similarly, HomeServe UK‘s conversational AI solution categorises 150 separate customer intents with 85% successful completion rates, whilst British Airways achieved 22% workload reduction through intelligent routing.
The key is selecting AI technologies that can work with your existing infrastructure, even when legacy systems present integration challenges.
Rather than requiring perfect API connectivity, successful implementations often rely on tactical workarounds and interim solutions that bridge system limitations.
Sabio’s approach focuses on finding creative integration paths that deliver automation benefits despite technical constraints, transforming operational possibilities even when direct system integration isn’t feasible.
Ready to Transform Your Contact Centre?
Every contact centre’s AI journey is unique, shaped by specific customer behaviours, operational challenges, and business objectives.
Whether you’re seeking to understand your true contact patterns through Intent Capture & Analysis, exploring multilingual AI solutions to expand your talent pool, or looking to implement AI that delivers genuine customer value, the key lies in taking a strategic, data-driven approach.
This blog post has been re-published by kind permission of Sabio – View the Original Article
For more information about Sabio - visit the Sabio Website
About Sabio
Sabio Group is a global digital customer experience (CX) transformation specialist with major operations in the UK (England and Scotland), Spain, France, Netherlands, Malaysia, Singapore, South Africa and India. Through its own technology, and that of world-class technology leaders such as Amazon Connect, Avaya, Genesys, Google Cloud, Salesforce, Twilio and Verint, Sabio helps organisations optimise their customer journeys by making better decisions across their multiple contact channels. Find out more about Sabio
Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.
Author: Sabio
Reviewed by: Jo Robinson
Published On: 11th Jul 2025
Read more about - Guest Blogs, Sabio
