Jas Bansal
Head of Marketing | Kerv | Kerv Experience
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Get in touchPublished 01/09/26
Every contact centre has seasoned agents who everyone turns to when a query gets tricky. But that’s also the problem. Critical knowledge is often trapped in tribal expertise or buried in outdated documents that new starters struggle to find, quietly driving longer handling times, inconsistent service and agent frustration.
Discover the practical steps that organisations of any size can take to transform their knowledge strategy – enabling faster onboarding, fewer escalations and agents who feel confident and empowered in every customer conversation.
The iceberg effect
We’re seeing another seismic shift in today’s fast-moving CX landscape – one that’s changing how contact centres deliver consistent service, improve operational efficiency and scale AI-assisted experiences.
At its heart is a challenge that has been plaguing organisations for years; they have far more knowledge than they can actually see, access or use. In fact, with leaner headcounts and fewer dedicated resources, the gap between what a contact centre team knows and what it can put to work is often felt even more acutely.
It’s the classic iceberg effect. The knowledge that’s easy to find – documented processes, FAQs and formal guidance – is just the tip. Beneath the surface lies a far greater wealth of expertise, buried in PDFs, spreadsheets, folders, disconnected systems and, most importantly, the heads of time-served employees.
Yesterday, the answer was simply to create more content. Today, it’s about bringing knowledge together in one centralised digital layer and single source of truth – making it easier to capture, maintain, find, share and continuously improve across teams, channels and customer journeys.
Knowledge stops being something agents have to hunt for
Instead, it becomes an always-available, always-improving asset and that creates competitive advantage in several ways.
The most immediate benefits being realised by Kerv customers are clear: faster onboarding, shorter handling times, better first-contact resolution, greater accuracy and more confident frontline staff. But the value doesn’t stop there.
Many are also discovering that connecting the same trusted knowledge base with agent-assist tools, voicebots, chatbots and other self-service touchpoints is a great way to accelerate business case approval.
Rather than acting as point solutions relying on siloed information, these AI investments draw from the same source of truth, helping deliver more consistent experiences across every channel.
Loading the odds in your favour
So, what should you look for in a solution?
Well, don’t think of knowledge management as a technology problem or a software purchase, because it’s neither. It’s a team sport built upon high user adoption, stakeholder buy-in and cross-business collaboration.
It’s also worth clarifying what ‘success’ actually looks like. The goal is not to hoard more information or build the world’s biggest digital filing cabinet.
It’s to get the right knowledge to the right person at exactly the moment they need it – whether that’s an agent juggling calls and chats, a new starter facing a query they’ve never seen before or a customer trying to self-serve at 11 p.m. They should all experience the same accuracy and speed.
With this in mind, here are some useful guiding principles to consider:
From knowledge management to knowledge advantage
One pioneering Kerv client isn’t just doing knowledge management well – they’re rewriting the rulebook. They’ve ditched the traditional, manual slog of creating and maintaining content in favour of an AI-powered model that continuously generates, validates and improves knowledge.
As an existing Genesys Cloud CX customer, switching on Genesys Copilot was fast and seamless. These knowledge capabilities were integrated with an internally branded portal, designed by the people for the people using a low-code build.
This platform now supports over 1,400 employees and stretches across customer-facing digital channels including WhatsApp. In a typical week, Genesys Copilot surfaces 1.6 million knowledge articles, processes around 22,000 searches, and successfully answers 86% of queries.
Behind the scenes, a dedicated team of knowledge specialists keeps that engine fed, sourcing content from subject matter experts, frontline employees, customer interactions, analytics and policy documentation.
A few things that particularly make this approach stand out:
- Automation with strong governance. AI handles the heavy lifting – content generation, comparison and quality scoring, while subject matter experts stay firmly in the loop, ensuring everything stays accurate, compliant and trustworthy.
- Sponsorship and structure that stick. Strong executive backing and a deliberate adoption framework have cultivated a culture where knowledge isn’t hoarded, it’s shared, refined and collectively owned.
- Benefits that go beyond the obvious. Less time spent searching and on admin and repetitive tasks, freeing agents up to focus on customers, not paperwork while simultaneously reducing stress and the risk of burnout.
The results confirm this: measurable gains in customer effort, first-contact resolution, handle time, self-service containment and – perhaps most tellingly – the speed at which new starters reach full competency.
This trailblazing approach isn’t knowledge management anymore. It’s genuine knowledge advantage that’s reshaping what good looks like for everyone else still stuck in analogue mode.
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