Adopt a system of intelligence for better technical support.

Gentleman with Laptop jumping with stretch-effect

The Challenge

Today’s Tech Providers Need Conversational AI Tech Support Solutions

Technical support is complex. It requires talented staff, multiple touchpoints and a high-touch customer engagement experience. That’s a tall order for even the biggest tech companies to deliver on their own. With customer contract renewals worth thousands on the line, getting tech support right is critical. That’s why providers need conversational AI to deliver superior IT support.

Is your company considering adopting conversational AI for technical support? The best place to start is by analyzing each step of the tech support journey for friction points. Generally, there are three key phases of a typical technical support case that can be fraught with challenges:

Beginning of the Journey

Most companies offer some form of self-service to help customers solve their technical issues on their own. But without conversational AI, workplace support solutions are only marginally effective at best. That’s because many tech support issues are too complex for simple, rule-based self-service portals or FAQ bots. Consider this: only 9% of calls are resolved through self-service alone due to limited availability of an advanced self-service option that can address technical support issues.

The customer contacts support via chat, email or calling in.

The customer prefers the voice channel.

A phone for B2B use with call duration displayed on screen.

It takes over 10 minutes of waiting to reach support.

Problem Discovery

Does this sound familiar: technical support spends too much time trying to understand complex support calls. That’s the reality for tech companies without conversational AI tech support solutions in place. Without assistance from artificial intelligence, tech support staff must rely on manual tools and their know-how to diagnose complex customer problems. It’s a time-consuming and often inaccurate process that frustrates agents and customers alike.

A diagram of a B2B call center with two people talking on the phone.

Tech Support asks a number of questions to diagnosis the problem in order to prescribe the right solution.   

An image of a person with a headset providing tech support and showing how to request help.

Tech support struggle to manually access the information they need. 

A man in a headset providing B2B tech support with a question on a computer screen.

Tech support does not have the tools needed to understand the customer’s intent.

Problem Resolution

Even simple tech support issues can grow into major headaches without the right tools to get the job done. Manual knowledge bases, high-effort protocols and memory-based troubleshooting can slow problem resolution to a crawl. As agents struggle to solve customer issues, morale suffers, and customer churn follows. But it doesn’t have to be that way. With today’s conversational AI tech support tools (more on that below), your tech support operations don’t have to look like this:

Tech support solution c alternative to B2B solution b.

Tech support walks the customer through a number of remedies for their problem until resolved.

A B2B computer screen displaying call analytics shows a 12% increase in customer dissatisfaction.

It can become a complex and time-consuming process to resolve each case. 

Ensuring employee satisfaction is crucial for improving productivity in the workplace.

Tech support teams can become overwhelmed and disengaged throughout the process.

The Challenge (and How to Fix it with Conversational AI for Customer Support)


Average Cost Per Case

The high turnaround time for each case gets costly; and with thousands of cases, companies can suffer huge losses in revenue.


Managing Customer Satisfaction

70%  of B2B buyers1 point to real-time, always-on customer service as one of the key factors in boosting customer loyalty.




IDC Profiles Uniphore’s Unique Approach to Enterprise-Scale AI

IDC Vendor Profile -Uniphore’s Unique Approach to Enterprise-Scale AI

Tackling Cost Per Case with Conversational AI

Working with customers in the B2B technical support space, Uniphore has collected data on the relationship between case complexity and cost. Understanding this dynamic is critical to reducing cost per case while still prioritizing the customer and employee experience. That’s where conversational AI for tech support comes in: by reducing complexity through artificial intelligence, tech support providers can drive down their cost per case—for every case that enters the workplace.

We’ve found that, on average, the case volume can be organized into four categories. As these categories increase in complexity, they require more time and resources.

Getting Started with Conversational AI 


Categorize your cases

As a first step, we recommend companies identify the percentage of calls that fall within each category.

Routine CaseQuick Problem Diagnosis & Resolution

Less than 30 mins

Detailed CaseMulti-Stage Problem Diagnosis & Quick Resolution​

Under 3 hours

Intermediate CaseMulti-Stage Problem Diagnosis & Resolution​

Average of 5 days

Complex CaseDifficult Problem Diagnosis & Resolution​

Average of 20 days

Need help categorizing your cases? Our U-Analyze solution that can help you classify and understand the types of interactions that cause the most volume. Using advanced conversational analytics, this conversational AI workplace support solution analyzes 100% of all calls, texts and emails to better understand and identify each case.

Conversational Analytics

Using cutting-edge AI and natural language processing (NLP), Uniphore’s conversational analytics tool, U-Analyze, uncovers rich insights into every tech support interaction across every channel. Surface trends and topics driving customers to reach out and identify friction points along the path to resolution. Download the datasheet to learn more.​

Tech Support Optimization with Uniphore

Creating a superior customer service experience is the end goal. By leveraging the power of AI and automation, every step of the customer journey can be optimized.


Test and Repeat

Take one case category at a time and apply one of the recommended solutions below.

Routine Case

AI-Powered Self Service

Routine cases are an excellent starting ground for deploying conversational AI for customer support. As a first line of defense, deploy intelligent voice and chatbots that can handle routine cases. U-Self Serve is more than a FAQ bot. It can provide a human-like experience by understanding what is being asked (without “pre-canned” words) and offering the best advice by connecting to your knowledge management system.​

Expected Impact

Increase self-serve adoption by 35% and reduce tech support case volume by 10%.


Detailed, Intermediate and Complex Cases

Real-Time AI-Powered Agent Guidance

As call complexity rises, your conversational AI tech support tools need to keep pace. Your technical support teams deserve a knowledge guide that can accelerate case diagnosis and automate time-consuming administrative tasks associated with supporting a case. U-Assist provides real-time in-call alerts and automatically captures promises made and summary notes on behalf of the technical support team.

Expected Impact

Reduce overall time to diagnose by 12-15% through In-call tech support alerts, guidance and automation of data entry tasks.

Reduce case handling time by 25-30% through automation of case categorization, summary notes and promise management

Optimizing Tech Support with Conversational AI Tech Support

Creating a superior customer service experience is the end goal for every tech support provider. By leveraging the power of automation and conversational AI for customer support, tech companies can optimize every step of the customer journey.

Beginning of the Journey

Don’t wait until further along the resolution journey to apply conversational AI for customer support. Start at the first point of contact. Here, conversational AI tech support tools can capture customer input to quickly categorize calls and automate subsequent tasks and actions—including routing calls to the appropriate tech support.

How can I assist you with your tech support needs?

Prioritize self-service to handle low-complexity cases that can be resolved quickly.

An image of a phone displaying multiple instances of suggested actions for tech support.

Guide tech supports with alerts for entitlement, auto-recommend knowledge, relevant SDI content and more using U-Assist in-call.

A phone displaying call duration, perfect for tech support.

Slash lengthy call times—and improve customer satisfaction—by eliminating manual friction points.

Problem Discovery

With conversational AI, tech support teams have the tools and information they need to diagnose complex problems when they need it most—during live customer interactions. This includes surfacing relevant knowledge articles and customer history information that can impact the current case. And workflow automation, tech supports can focus on the problem at hand rather than the litany of mundane tasks that prolong calls and sap productivity—a win-win for customers and tech supports alike.

A diagram of a conversation between two people in a B2B setting.

Leverage workflow automation to streamline case creation and remote support.

A screen displaying the word 'knowledge' for Tech Support clients.

Ensure your team has access to the most up-to-date information to drive better support and customer outcomes.

A B2B computer screen with a number of buttons for Tech Support.

Track all interactions with a unified system that serves as a “single point of truth” for future cases.

Problem Resolution

With conversational automation for customer support, tech companies can eliminate many of the pain points that paralyze resolutions and ultimately drive customer—and tech support—churn. Using data captured earlier in the journey, conversational AI tech support solutions, like U-Assist, can guide tech supports toward next-best actions that speed up—and de-stress—resolutions. At the same time, workflow automation eliminates repetitive, administrative tasks—like data entry and quality assurance—to improve compliance, notation and call summary accuracy—all of which can make resolving future cases easier.

A calendar with scheduled follow-up questions for business technology.

Empower your technical support team to be more productive and focus on reducing the time on each case.

B2B tech support solution for call analytics.

Automate after-call work, like call summary generation, and analyze performance metrics for improvement opportunities.

Enhancing employee satisfaction in the workplace can lead to increased employee productivity.

Heighten employee morale and engagement by empowering tech supports to be their best.

Choosing the Right Partner for Conversational AI

When it comes to conversational AI tech support solutions, not all vendors are created equal. Look for a partner with extensive experience in the IT tech support space. When evaluating solutions, make integration with your existing systems and software a priority. (You shouldn’t have to start from scratch to deliver a world-class customer experience.)

Offering a fully integrative, unified platform for self-service, tech support assistance and interaction analytics, Uniphore’s revolutionary X-Platform enables tech support providers to understand and resolve customer issues with unparalleled speed and accuracy. Powered by the next generation in conversational AI, our solution empowers tech supports with the latest in intent recognition, data extraction and workflow automation to make quick work of complex cases.

Want to Learn More About Enterprise AI for Customer Support?

Learn how you can improve your tech support services with Enterprise AI by Uniphore.

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