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HubSpot Releases Guide To Best AI CRM Software

HubSpot Sales Blog published a guide to help teams select the best AI CRM software, which combines traditional CRM with artificial intelligence to automate repetitive work. This guide matters because it helps revenue teams make informed decisions faster.

Original reporting · blog.hubspot.com

Original: “Best AI CRM software: A practical buyer's guide for 2026”

Read “Best AI CRM software: A practical buyer's guide for 2026” at HubSpot Sales Blog →
Best AI CRM software: A practical buyer's guide for 2026
Image: HubSpot Sales Blog

How this was written. Awesome B2B wrote this article with a language model from HubSpot Sales Blog’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.

Key points from HubSpot Sales Blog’s report

  • AI CRM software combines traditional CRM with artificial intelligence to automate repetitive work and provide predictive insights.
  • The selection of AI CRM software requires careful consideration of the underlying data and governance structure.
  • AI CRM software can help teams automate tasks, such as lead scoring and data analysis, and provide personalized recommendations.
  • The adoption of AI CRM software is expected to continue growing, with many sellers already using AI agents to automate tasks.
  • Data quality, governance, and security are critical factors to consider when selecting an AI CRM software.

The integration of artificial intelligence into customer relationship management software is becoming increasingly popular. AI CRM software extends traditional CRM capabilities by adding predictive models and automation to help teams work more efficiently.

According to HubSpot Sales Blog, the key to selecting the right AI CRM software lies in understanding the underlying data and governance structure. Teams need to consider how unified the data is and how AI is governed to make an informed decision.

AI CRM software can help sales, marketing, and service teams automate repetitive tasks, such as data analysis and lead scoring. By leveraging AI, teams can focus on building relationships and driving revenue growth.

One of the primary benefits of AI CRM software is its ability to predict lead conversion and provide personalized recommendations. This is achieved through predictive lead scoring, which prioritizes leads based on their likelihood of conversion.

AI agents and copilots are also being used to automate workflow tasks, such as drafting emails and summarizing records. These automation tools free up reps to focus on high-value tasks, such as relationship building and strategy development.

The adoption of AI CRM software is expected to continue growing, with many sellers already using AI agents to automate tasks. As the technology continues to evolve, it is likely that we will see even more innovative applications of AI in CRM.

When selecting an AI CRM software, teams should consider factors such as data quality, governance, and security. It is essential to ensure that the software provides role-based access to AI features, review-and-approve steps, and audit trails for AI-generated changes.

Questions and answers

What is AI CRM software?

AI CRM software is a type of customer relationship management software that combines traditional CRM with artificial intelligence to automate repetitive work and provide predictive insights.

How does AI CRM software automate tasks?

AI CRM software automates tasks, such as lead scoring, data analysis, and workflow automation, using AI agents and copilots.

What factors should teams consider when selecting an AI CRM software?

Teams should consider factors such as data quality, governance, and security, as well as the underlying data and governance structure, when selecting an AI CRM software.

Read the full story at HubSpot Sales Blog More from Monday, October 19, 2026’s edition