Artificial intelligence in customer relationship management is streamlining workflows and helping organisations deliver the personalised experiences modern customers expect.

But while companies are keen to use AI to improve customer engagement, they need to tread carefully. AI enables companies to make the most of their CRM data, but customers expect them to manage their data responsibly and protect their privacy. Without robust customer data protections and ethical CRM practices, a business puts customer trust at risk.

And without customer trust, a company jeopardises the customer relationships that are at the very heart of business success.

How AI is used in CRM

The opportunities and use cases for AI in CRM are virtually limitless. Marketing, service, and sales can all benefit from automation and the deep customer insight that AI can provide.

AI-enabled CRM systems automate routine tasks to enhance employee productivity, provide in-depth customer insights for better engagement, and deliver predictive analytics to improve strategic decision-making.

Use cases include:

1. Personalisation: By analysing individual customer preferences and behaviours, AI can help brands craft personalised marketing messages, product recommendations, and experiences.
2. Automation: AI reduces the time spent on manual data entry by automatically capturing and updating CRM records. This gives sales and service representatives time to focus on customer engagement and improves data accuracy.
3. Predictive analytics: AI can analyse vast amounts of customer data to identify trends and patterns that predict customer behaviour trends and potential churn. These real-time insights improve strategic planning.
4. Pipeline and forecast intelligence: AI-powered CRM can provide sales teams with real-time insights so they can focus on opportunities with the greatest potential to close. By analysing historical data, client interactions, and market trends, intelligent tools can also improve the accuracy of sales forecasting.
5. Self-service: AI chatbots provide 24/7 customer service support, handling enquiries immediately and improving customer satisfaction.

The benefits of AI in CRM are mutual. While businesses can optimise customer engagement to increase conversions and sales, customers receive faster services and better, more relevant experiences.

Ethical concerns surrounding AI in CRM

Yet as AI in CRM is helping companies unlock the power of their data, customers are increasingly concerned about how they are using their data.

Survey after survey finds that consumers are uneasy about the data businesses collect. One found that 40% do not trust companies to handle their data ethically.

The consequences of mishandling customer data can be severe. Studies have shown that consumers will stop doing business with a company that does not protect their data.

In addition to concerns about data security and privacy, people are cautious about the increasing use of AI. They do not necessarily trust AI outputs and are concerned it will make it more difficult to reach a human when dealing with a business.

All this underscores how companies must prioritise customer data security and privacy as they incorporate AI into their CRM systems.

How to protect customer data

Customers need to know that the organisations they choose to do business with—and entrust with their personal information—will act in their best interests and protect that data.

To win and maintain customer trust, companies need to practise ethical CRM by implementing robust security measures for the collection, storage, and use of customer data. They must adhere to all jurisdictional rules and regulations for protecting personal data.

Transparency is a key aspect of this. Companies need to be open with customers about how they collect and use their data.

Other fundamentals include:

• Giving customers control over their personal data, including access and erasure
• Establishing a data governance programme that defines objectives, controls, and privacy policies
• Reducing risk by collecting only necessary data
• Protecting customer data with robust security measures to prevent data breaches and exposure

Ethics in CRM: Building trust

None of this is easy; customer trust is something that companies need to earn. It is only by doing the hard work to protect customer data that you build trust.

As companies implement more AI in CRM, they need to work even harder to earn and maintain that trust.

When customers believe a company will always act in their best interests, they are more likely to remain with a brand despite all their purchasing options. This loyalty drives repeat purchases, which are essential to sales and revenue growth.

Loyal customers also tend to spend more and, as they are satisfied with a brand, are also less sensitive to price, which increases revenue. They can also help expand your customer base when they support the company in online reviews and on social media.

Customers are willing to share their data with a business, provided it means better, more personalised experiences. But they’re more likely to switch brands if a business misuses their data or shares it without their consent.

Progressing on a foundation of trust

It’s still early days regarding what AI in CRM can do. With the rapid pace of AI innovation, we can expect many more advances in how companies can use CRM data to improve customer experience.

That fast pace, however, will bring new challenges. Companies will need to redouble their data governance efforts to protect customer privacy and ensure their trust.

While the future of AI is difficult to predict, businesses will always rely on customer trust to drive profitable, long-term growth.