Implementing AI in sales and customer service can revolutionize these areas but it does come with its own set of considerations and potential challenges. Here are some key factors businesses should consider and ways to address the challenges:

1. Understanding Business Needs: Before implementing AI, businesses need to clearly identify the problem areas they want AI to address. Is it to improve lead generation, increase sales conversions, or enhance customer service?
2. Quality and Availability of Data: AI systems thrive on data. Businesses need to ensure they have adequate data to feed into these systems. Also, the quality of data plays a crucial role. Clean, relevant, and up-to-date data will lead to better results.
3. Data Privacy and Security: With increased data collection comes the responsibility of managing it securely. Businesses need to comply with privacy laws and regulations, such as GDPR, to avoid legal repercussions and maintain customer trust.
4. Integration with Existing Systems: It is important to assess whether the chosen AI solutions can be seamlessly integrated into the existing IT infrastructure. The lack of interoperability can lead to inefficiencies and increased costs.
5. Employee Training: The success of AI implementation often depends on how comfortably employees can use it. Proper training should be provided to ensure that staff can utilize these tools effectively.
6. Selecting the Right AI Vendor: It's crucial to choose a reliable vendor that provides high-quality AI solutions, offers good after-sales support, and can customize the solutions as per the company's needs.
7. Managing Customer Expectations: While AI can improve customer service, it's not a silver bullet. Customers might have high expectations and businesses need to communicate what they can realistically provide.

Challenges and Ways to Overcome Them:

1. Resistance to Change: Change can often lead to resistance from employees. This can be managed through effective change management strategies, clear communication about the benefits of AI, and providing adequate training.
2. High Initial Costs: AI implementation can be expensive. However, businesses can start with small projects, prove the ROI, and then gradually scale up.
3. Dependence on Vendors: Some companies may find themselves overly dependent on vendors. To mitigate this, they can invest in developing in-house expertise over time.
4. Ethical Considerations: AI usage can lead to ethical concerns like job displacement due to automation. Companies can address this by retraining and upskilling employees to take on new roles.

In conclusion, while implementing AI in sales and customer service has its challenges, careful planning, clear goal-setting, and mindful execution can help overcome these hurdles and ensure successful implementation.