Enterprise AI solutions: How large, complex organisations can benefit from artificial intelligence

According to GOV.UK, 68% of large businesses are leveraging enterprise AI solutions.

From customer service and content creation to predictive analytics and supply chain operations, organisations are embedding increasingly sophisticated AI technologies into every corner of their enterprise.

But while the most commonly adopted AI use case is probably customer service optimisation, enterprise AI software is the key to unlocking profitability , increasing efficiency, and driving digital transformation.

So, how can your business use AI to improve business processes and customer experiences?

What is an enterprise AI solution?

Enterprise AI solutions are artificial intelligence software applications that leverage cutting-edge technologies like machine learning, natural language processing, and deep neural networks.

Unlike small business AI solutions, AI solutions for enterprise are designed to power digital transformation at scale for large businesses with complex needs.

Their purpose: typically, to provide specific services that optimise core processes and enhance business functions.

Let’s take a look at the benefits in a bit more depth.

Enterprise AI solutions benefits: What the right tools can do for your business

The potential benefits of AI for enterprises are varied and wide-ranging. Here are just a few examples:

More efficient workflows and processes

Enterprises have no shortage of tedious, high-volume tasks and routine operations. Many of these can be handed over to AI, and it’s already one of the biggest advantages of using enterprise AI solutions.

Take data entry, for example. Manual data entry disrupts workflows, increases the risk of human error, and limits collaboration across the enterprise due to potential data silos.

Enterprise AI tools can process vast volumes of complex data, allowing teams to eliminate inefficient manual data entry. And there are other workflow-optimising capabilities, too.

With an AI-powered enterprise communication solution like Dialpad, you can leverage features such as real-time transcriptions and call summaries, AI-powered CSAT scores, agent assists, and more—all of which reduce time-consuming manual work:

Increased productivity

With workflows and processes streamlined, employees can increase their productivity and put more effort into higher-value tasks.

Instead of spending hours every week entering data into CRMs, sales teams can spend more time booking meetings and closing deals.

Instead of having to manually review every single customer call, call centre supervisors using Dialpad can read AI-generated QA scorecards that detail whether criteria have been met:

And instead of scrambling to type up notes after every call, customer service agents can rely on Dialpad Ai to generate detailed call summaries in real time.

An improved customer and employee experience

Imagine providing customers with accessible 24/7 customer service—all without burning out your team.

Enterprise AI solutions empower businesses to consistently meet customers' needs while providing personalised, convenient, omnichannel experiences. Features like chatbots, conversational AI, and interactive voice response (IVR) deliver self-service options for customer support.

But, of course, there are times when customers want to speak to an agent. And when they do, they want immediate connectivity.

Because of this, it’s best to layer AI solutions on top of phone systems or VoIP for enterprises—or better yet, have a communications platform that fully integrates both sets of functionality. This way, customers can contact you not just by phone but also by SMS, social media, and so on—it’s their choice.

Shorter sales cycles

The pressure for enterprise sales teams to close deals quickly is always on. By using AI to automate repetitive tasks like data entry, lead scoring, and analytics, sales teams can quickly identify high-quality leads and use data-driven insights to deliver the right sales messages to the right prospects.

This not only shortens the sales cycle—it also improves win rates and helps teams hit their numbers more consistently.

Enterprise AI solutions uses: Business areas where enterprises are already leveraging AI

While for some AI may sound like it still belongs to the realms of science fiction, forward-thinking enterprises are already reaping its benefits. Here are just a few common uses cases of AI solutions in enterprises:

AI in enterprise customer service

Leveraging AI in customer service is a reliable way to provide speedy, 24/7 support to a global customer base. And there are lots of different AI-powered technologies that support this line of business, including chatbots, AI-powered QA, and sentiment analysis.

AI-based chatbots are extremely popular right now, and for good reason. They use conversational AI to generate on-brand, contextually relevant responses to customer questions around the clock. And if they aren’t able to answer a question, they can escalate it to a human agent.

Dialpad’s code-free setup lets you design chatbot call flows easily to streamline your customer experience:

Then there are real-time transcriptions and sentiment analysis.

Dialpad Ai can transcribe all your active calls in real time and analyse the sentiment of conversations. Essentially, it identifies when customers are growing frustrated or upset.

Supervisors can see immediately if calls are heading south. From there, they can defuse the situation by jumping on the call or giving the agent advice via call whisper.

Some contact centre platforms also have AI-powered agent assist features, which pull helpful information instantly to help agents quickly answer questions on tricky topics (without having to hold or transfer the call).

These powerful contact centre AI features all shorten resolution times and improve customer satisfaction by turning potentially negative experiences into positive ones. But these features are just the beginning.

You can also leverage AI in customer service to:

• Gather conversational intelligence and contact centre analytics in real time to drive improvements.

• Provide proactive, personalised product recommendations based on customer behaviour.

• Route incoming calls more effectively than a traditional IVR, reducing wait times and driving first-call resolution.

• Provide multilingual support for your global customer base.

AI in enterprise sales

Enterprises can also use AI in sales to optimise complex sales processes and automate manual tasks as well as generate sales content and uncover data-driven insights.

But that’s just scratching the surface of enterprise AI sales capabilities. Let’s take a quick look into what you can do with sales AI:

• Forecasting: AI forecasting tools ingest and analyse large volumes of customer and market data to deliver insights that can predict sales and demand. Sales teams can use this data to more accurately estimate revenue, track performance against targets, spot potential pipeline issues, and much more.

• Conversation automation and intelligence: Sales reps can use conversational AI to automate interactions with prospects. Some AI chatbots might, for example, answer prospects’ questions on a website and direct them to the right sales rep, while other AI tools might analyse the sentiment of conversations or take notes to allow reps to focus on driving the sale.

• Sales coaching: AI can automatically analyse call recordings for insights about competitors, popular products, and other details to inform your sales coaching program. With Dialpad, for example, you can create “Custom Moments” to track specific keywords and phrases to collect training materials for specific topics.

• Lead generation and qualification: Using current and historical customer data, AI can predict which prospects are likely to turn into leads—and which leads are most likely to convert. This way, sales teams can spend less time scoring leads and more time targeting high-quality prospects with personalised sales content.

• Content generation: Sales professionals can use generative AI to help them create sales messages, repurpose messages for different target audiences, and gain inspiration for sales content.

AI in recruitment and HR for enterprises

AI reduces the manual workload for HR and recruitment so that they can focus on what matters most—things like directly onboarding, supporting, and empowering employees.

AI can be implemented across the talent lifecycle. For example, AI-powered Applicant Tracking Systems can automate various recruitment tasks, including:

• Talent sourcing across job boards, social media, and internal databases

• Candidate matching and CV screening

• Candidate communications (such as automated follow-up emails)

• Interview scheduling

• Document verification

Of course, this use case is also fraught with debate about fairness in hiring and equity, and AI enterprise software providers should be able to provide information about how their algorithms and tools work when it comes to hiring and recruitment.

AI for financial reporting and accounting

Say goodbye to human error, missed payments, and way-off forecasts. Besides putting manual tasks on autopilot, AI can also support finance teams with their day-to-day tasks.

Take AI accounting software, for example. Powered by machine learning, it can not only automate the task of collecting and processing vast volumes of data, but also spot patterns and anomalies in data to uncover insights related to spending, budgets, and more.

Some of the areas that AI lends its capabilities to include:

• Bank reconciliation

• Accounts payable/receivable

• Payroll

• Tax compliance

• Financial reporting

• Cash flow forecasting

• Fraud detection

AI in process automation across enterprises

Of all the enterprise AI solutions use cases, process automation is the one that redesigns business processes at scale.

Combined with robotic process automation (RPA), AI can significantly reduce low-value tasks and reduce operational bottlenecks, driving end-to-end business process automation.

Thanks to AI’s ability to gather insights from structured and unstructured data, you can automate a wide range of back-end applications and streamline processes across departments, from supply chain to inventory management.

Enterprise AI solutions can help you get ahead of your rivals in the UK and worldwide

In the age of enterprise digital transformation, adopting enterprise AI solutions has become an essential step in not just keeping up with, but outpacing the competition.

Armed with AI, you can optimise business processes in every department at scale, from accounting, to recruitment, to sales, and more.

Book a demo with our team to learn more about Dialpad’s AI-powered enterprise communications platform, or take a self-guided interactive tour of the app!