HeySam saves six months of development with Recall.ai for cross-platform sales call AI
HeySam's AI Sales Copilot required reliable real-time listening across Zoom, Google Meet, and Microsoft Teams to train its AI and assist sales reps mid-call, but building cross-platform meeting bot infrastructure in-house proved unexpectedly complex.
After three months of in-house development, HeySam could join and record calls but faced an estimated six months of additional scalability work, making internal development an unsustainable use of engineering resources.
By switching to Recall.ai, HeySam achieved cross-platform meeting listening quality within one week, saving six months of development work and freeing engineers to build new product features.
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Frequently asked questions
What did this team achieve with this AI workflow?
By switching to Recall.ai, HeySam achieved cross-platform meeting listening quality within one week, saving six months of development work and freeing engineers to build new product features.
What tools did this team use?
Recall.ai, LLM, Zoom, Google Meet, Microsoft Teams.
What results were reported?
Development time saved: six months; time to achieve cross-platform listening quality with Recall.ai: one week; In-house development time before switching: three months; Remaining scalability work estimated before switching: another six months (source-reported, not independently verified).
What failed first in this deployment?
After three months of in-house development, HeySam could join and record calls but faced an estimated six months of additional scalability work, making internal development an unsustainable use of engineering resources.
How is this sales ops AI workflow structured?
Sales call starts on video platform → Recall.ai captures call data → AI summarizes customer question → Sales rep receives summary answer.