sales_ops · saas · workflow

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.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Sales call starts on video platform
A sales call starts on one of the major video meeting platforms HeySam needs to join.
Tools used
Recall.aiLLM
Outcome

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 failed first

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.

Results
Time savedsix months
Volumeone week
Source

https://www.recall.ai/customers/heysam

How we source this →

Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
agent assistspeech to textsummarizationmeeting recordingfailure mode describedmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedsoftwareemployee productivitytime savedvendor customer storysales opsmeeting to artifactsvoice call handling