The Hidden Cost of Scattered Company Data

"Where's the proposal?" "Who approved this discount?" "What did we agree to on that call?" These questions feel small in isolation. They are not small in aggregate.

In conversations with operations leaders, the same estimate kept coming up: 20 to 40 minutes lost per question, hunting across email, chat, drive, and CRM before finding an answer — or giving up and asking a colleague, who then loses their own 20 minutes helping.

The math gets uncomfortable fast

Take a modest estimate: 3 such questions a day, 30 minutes each, across a 100-person company. That's 150 hours lost every single day — nearly 19 full workdays, evaporated into searching, not working.

It's not that companies lack information. It's that the information is scattered across enough places that finding it costs more than the answer is worth.

Why this is solvable now

Search has existed for decades and hasn't fixed this, because search was never the bottleneck — context was. Modern language models can finally hold that context: they can tell an invoice from a contract, a client from a vendor, a decision from a discussion. That's what turns a 30-minute hunt into a 3-second answer.