sales_ops · saas · workflow

Recall.ai enables Modjo to scale sales call recordings 10x per user on Microsoft Teams

Modjo needed reliable, scalable access to sales call recordings to power their AI analysis tool, but native recording on Google Meet and Microsoft Teams lacked automation, required access to private cloud storage users were unwilling to grant, and delivered recordings with 30-40 minute delays. Building an in-house recording bot would have required multiple full-time engineers and 3-6 months of development.

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 meeting occurs
A sales meeting takes place that the Modjo tool needs to analyze.
Tools used
Recall.aiMicrosoft TeamsGoogle Meet
Outcome

After integrating Recall.ai, Modjo saw Google Meet recordings per user multiply by 2x and Microsoft Teams recordings multiply by 10x within one year, with significant impact on data captured and product adoption.

What failed first

Native recording capabilities within Microsoft Teams and Google Meet failed to meet Modjo's needs due to lack of automation, private storage access requirements users were unwilling to grant, and 30-40 minute recording delays.

Results
Time saved3-6 months
Volume2x
Source

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

How we source this →

Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
call recordingmeeting recordingfailure mode describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedsoftwareautomation rateemployee productivitythroughput increasevendor customer storysales opsdata sync enrichment