AI-powered Integrations: Fueling B2B AI Products

Integrations fuel B2B AI products

In the age of AI, data plays a crucial role in fueling AI products and enabling them to operate at their full potential. AI companies need vast amounts of data from various sources to extract meaningful insights and make accurate predictions. This is where B2B software integrations come into the picture. By integrating with their customers’ systems of record, AI companies can gather diverse datasets, automate data collection processes, and ensure a constant flow of up-to-date information to power their AI algorithms. Software integrations serve as the backbone of data acquisition for B2B AI companies, allowing them to tap into customer relationship management (CRM) systems, accounting systems, HR records, e-commerce platforms, social media networks, and more.

How AI companies use product integrations

AI companies leverage product integrations to access and integrate data from their customers’ systems of record, enabling them to enhance their AI products and offer more valuable insights. Integrations provide a seamless way to collect and analyze data, ensuring the accuracy and reliability of AI algorithms. By integrating with various software platforms, AI companies can automate workflows, streamline data collection, and derive meaningful insights. Product integrations enable AI companies to leverage data from different sources and provide their customers with a comprehensive and holistic view of their business operations.

Common integration use cases for AI companies

There are several common use cases where AI companies utilize integrations to enhance their products:

1. Gong: Gong is a revenue intelligence platform that uses AI to derive useful insights about sales conversations and customer interactions. Gong offers extensive integrations that bring in more context, such as support calls and chats, to their AI-powered customer insights.

2. Ramp: Ramp is a spend management platform that recently released a product integration with various systems—including banks, accounting systems, and HR systems—that help automate user workflows and provide a data foundation for many of their AI-based features.

3. Outreach: Outreach is a sales intelligence and engagement platform that automates prospect engagement workflows with AI. These workflows work with contact data from CRM systems to enhance sales and marketing activities.

4. Peakon: Peakon is an employee engagement platform that uses AI to recommend actions to improve employee experience. AI-based insights are generated from data collected by HR systems.

5. Chorus: Chorus is an AI tool for user feedback, which synthesizes user feedback and sentiment from support tickets and call transcripts using AI. Chorus offers integrations with support and helpdesk systems to capture data from users.

6. Erudit: Erudit is an AI-powered product for workforce insights, including employee productivity, happiness, and engagement. Erudit integrates with various systems such as Google, Slack, and Microsoft Teams to collect data and offer survey-free employee sentiment analysis.

Adding B2B integrations to power your AI products

B2B software integrations are a fundamental enabler for AI companies, as they facilitate data gathering and augment the capabilities of AI tools. However, building and maintaining integrations can be time-consuming, even for talented engineering teams. Additionally, normalizing data from multiple sources into a coherent format for AI tools to process can be a challenge. To overcome these challenges, AI companies can leverage Unified APIs offered by platforms like Merge. These Unified APIs make it simple to add hundreds of integrations—accounting, CRM, HR, file storage, marketing, recruiting, ticketing, and more—to their products. With these integrations, AI companies can link their customers’ accounts to their software, and the Unified API will continuously sync data for their AI-powered products to work their magic.

By utilizing B2B integrations, AI companies can ensure they have access to the necessary data to make accurate predictions and drive meaningful insights for their customers. Integrations enable AI companies to tap into customer data sources, automate data collection, and leverage diverse datasets. With the right integrations in place, AI companies can enhance their AI products, improve decision-making processes, and deliver more value to their customers.