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How Integrations Can Embed AI SDRs More Deeply Into Teams
We explore why you shouldn't let your AI SDR product operate in isolation within your customers' organizations, and how integrations can unlock better retention and more usage.
Forrest Herlick
,
Growth Marketing Manager
4
mins to read
The Current State of AI SDRs
AI SDRs automate specific aspects of the sales development process but often operate in isolated silos based on their designed function. For instance, AI SDRs typically either focus on blasting emails or power-dialing, in isolation of each other's activities. This siloed approach, while efficient within its narrow scope, does not generate positive outcomes. Despite their 24/7 availability, these AI SDRs struggle to integrate seamlessly with the modern sales stack, leading to fragmented data and inefficient overall workflows.
The Role of Integrations for AI SDRs
Integrations play a crucial role in addressing these challenges by connecting various tools and data sources, creating a more streamlined environment for AI SDRs to operate. Through integrations, organizations can significantly improve their AI SDRs' success rates through enhanced communication capabilities, streamlined workflows, and more personalized outreach.
Key Integration Use Cases for Improving AI SDR Performance
Meeting Scheduling: Integrating calendar systems such as Calendly or Google Calendar allows AI SDRs to book and update meetings without needing a hand-off. These integrations enable automated availability checks, meeting suggestions, and appointment bookings.
Product Knowledge: Ingesting data from product knowledge databases like Google Drive, Notion, or Confluence enables AI SDRs to retrieve relevant product knowledge when personalizing or responding to emails. This enables AI SDRs to sell more effectively by providing accurate and up-to-date product information to prospects.
Call Recordings: Integrating call recording systems like Gong or Chorus enables AI SDRs to not only have context on objection handlers and common talk tracks, but it can also enable them to upload AI cold call recordings to these platforms where GTM leaders operate.
SMS/Whatsapp: AI SDRs can unlock additional channels of communication by sending texts/Whatsapp messages. This multi-channel approach increases the chances of reaching prospects through their preferred communication method, which could improve response rates when implemented thoughtfully.
Scaling ingestion + actions for AI SDRs
While the benefits of integrations are clear, the implementation process can be resource-intensive, with integrations taking on average over 3 months to build (per 2024 State of SaaS Integrations). That’s why AI companies like 11x.ai use Paragon.
Paragon's embedded integration infrastructure enables engineering teams to build integrations 7x faster, by offloading all of the plumbing around auth, webhooks, rate limits, and error-handling. So whether you're looking to build ingestion pipelines to pull contextual data from your customers' 3rd party apps, or build agentic workflows to automate tasks on their behalf. Paragon can help you get those integration features to market months ahead of your original timeline.
If you're curious to see how AI SDR companies use Paragon to stay ahead of their competition, click here.
