How to Overcome Knowledge Base Limitations

Simon Black at Creovai shares his thoughts on overcoming knowledge base limitations using real-time guidance and conversation intelligence from the perspective of an accomplished leader with over 20 years of experience in the software industry.

contact centres are constantly under pressure to deliver flawless customer experiences, all while juggling agent performance and operational efficiency.

To make this possible, many rely on their internal knowledge bases to supply agents with accurate information during customer interactions. However, even the most well-maintained knowledge base has its limitations.

If your contact centre has turned to layering generative AI over your knowledge base, you’re taking a step in the right direction.

But here’s the catch-if the knowledge base is outdated or incomplete, this approach could lead to inaccurate or irrelevant information being passed on to customers. That’s a recipe for customer dissatisfaction, reputational damage, and operational headaches.

There’s a better way to tackle these challenges. The combination of conversation intelligence and real-time agent guidance offers a more reliable, actionable, and efficient solution.

By using tools, you can ensure your agents are always equipped with accurate, real-world insights to handle customer interactions effectively. Here’s how.

The Challenges of Relying Solely on Knowledge Bases

Key Limitations of Traditional Knowledge Base Management

• Constantly changing information: Keeping up with changes in products, services, or regulations requires significant time and resources. If updates lag, agents are left with inaccurate or incomplete data.
• Lack of ownership and process management: Many contact centres lack the processes or dedicated resources to manage their knowledge bases efficiently, leading to inconsistencies.
• Manual updating is error-prone: Teams responsible for updating the knowledge base often operate without automation, increasing the likelihood of omissions or human errors.

When agents rely on inaccurate knowledge bases, the impact is immediate and severe:

• Extended hold times: Agents struggle to find relevant information, frustrating customers.
• Lowered first contact resolution (FCR): Agents fail to resolve issues on the first attempt, driving repeat calls.
• Reduced agent morale: Incorrect information affects agent scorecards and creates significant demotivation.

What Are The Signs of a Struggling Knowledge Base?

• Frequent complaints about inaccurate information from customers.
• Consistently high average handle times (AHT).
• Agents spending excessive time searching for answers.

If this sounds all too familiar, it’s time for a change.

A Combination For Success: Conversation Intelligence & Real-Time Agent Guidance

Enter conversation intelligence and real-time agent guidance, two revolutionary solutions designed to transform how contact centres equip their agents. Together, they are the catalyst of lasting operational efficiency.

What is Conversation Intelligence?

Conversation intelligence deploys machine learning and AI to analyse every customer interaction across phone, email, and chat for insights.

It identifies patterns, behaviours, and triggers that are proven to assist operational leaders in improving business outcomes. This information is typically used to reduce costs, reduce customer churn, and increase sales conversion.

Here’s how conversation intelligence works at a glance:

• Captures every conversation across all channels.
• Understands trends through advanced machine learning.
• Pinpoints actionable insights, such as high-effort areas of the customer journey that preface churn risk, or top-performing sales tactics.

What is Real-Time Agent Guidance?

Real-time agent guidance takes insights generated from conversation intelligence and delivers them to agents in the moment of a given interaction when needed most.

Think of it as a coach guiding the agent through the conversation, ensuring they have all the tools they need to succeed and properly assist the customer, regardless of the scenario.

The key features of real-time agent guidance include:

• Subjective next-best actions: Guides agents on what to say or do based on a live customer interaction.
• Context-driven prompts: Automatically pulls relevant details from the CRM or knowledge base.
• Simplified workflows: Consolidates information from multiple platforms into a single, unified desktop.

Together, these tools create a continuous improvement loop, conversation intelligence uncovers what works and informs real-time guidance, which, in turn, ensures consistent execution.

Shape the Future of Your Contact Centre

Generative AI has enormous potential, but without accurate and actionable data, it’s only as good as its input.

By combining conversation intelligence with real-time guidance, you harness every insight, empowering your agents to deliver exceptional customer experiences.

Don’t layer AI over an outdated knowledge base and hope for the best. Instead, choose a trusted, innovative solution that sets agents, customers, and your entire contact center up for success.

This blog post has been re-published by kind permission of Creovai – View the Original Article

For more information about Creovai - visit the Creovai Website

About Creovai

Creovai exists to improve customer and agent experiences through powerful software solutions, purpose-built for the modern contact center. We believe customers shouldn’t dread reaching out for assistance—and agents shouldn’t dread handling complex customer interactions. Our Intelligence and Guidance technology equips contact centres with conversation insights that improves their ability to make decisions,  elevates service standards, and provides real-time guidance to help agents assist customers with ease. Visit Creovai's website for more information on how we can help you deliver contact centre excellence.

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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: Creovai