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Dropbox@American Tower

Dropbox at American Tower: Institutional Knowledge

American Tower, a real estate organization in the United States, uses Dropbox Sign from Dropbox to support documentation for specialists and new hires.

American Tower runs documentation on Dropbox so ownership is obvious when work stalls.

“From the United States, real estate teams still had to serve customers and internal partners who expected a straight answer.”
“Dropbox is a content collaboration platform for storing, sharing, and reviewing files across teams and external partners.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilitySpecialists and new hires work from the same Dropbox Sign record for institutional knowledge
CapabilityInstitutional knowledge can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for institutional knowledge

Story

American Tower grew institutional knowledge faster than the local tools around it. From the United States, real estate teams still had to serve customers and internal partners who expected a straight answer. Specialists and new hires were the ones stitching the picture together by hand.

Rolling out Dropbox Sign put documentation on Dropbox. Dropbox is a content collaboration platform for storing, sharing, and reviewing files across teams and external partners. American Tower keeps the product in the path where work already happens, so specialists and new hires do not context-switch into a graveyard system used only for audits.

The visible result is steadier documentation. Institutional knowledge is easier to inspect, and adjacent groups can join specialists and new hires without a guided tour of someone's desktop.

Value Graph

American Tower uses Dropbox, Dynatrace, NVIDIA, SAS, Asana, Freshworks, Snowflake, Autodesk, Sage, Atlassian, Fortinet, Zscaler, Smartsheet. Shared with AB InBev, ADNOC, Alcoa, Alcon, Alteryx. Industry: Real Estate. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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