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TIO vs an inbox AI layer

A tag-driven email client with an assistant on top makes the inbox easier to read, but a person still applies the tags and does the TMS work. Here is how that compares to running the job to the TMS, dimension by dimension.

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The short version

An inbox AI layer makes email easier to read, but the tagging and the structuring are still done by hand, and the job never actually moves into your TMS.

The alternative

An inbox AI layer

A tag-driven email client with an assistant on top

  • Organized around tags your team applies and maintains by hand
  • Speeds reading; the structuring stays manual and ongoing
  • No system of record; the work stays in the inbox
  • No filing path and no review enforcement
With TIO

TIO

Extracts the data and runs the job to the TMS

  • Data extracted and bound to the job automatically, no manual tagging
  • Writes the approved record to your TMS via API
  • Job-bound across every lane
  • Filer-in-loop enforced on every record

Side by side

Dimension
An inbox AI layer
TIO
How it organizes
Manual tags and rules, maintained by hand
Extracted and bound automatically
What it does
Triage and drafting in the inbox
Runs the job to the TMS
System of record
None, work stays in email
Writes to your TMS via API
Ongoing effort
Someone keeps tagging and tuning rules
No tagging overhead to maintain
Compliance
No filing review
Filer-in-loop enforced
After the email
A person tags, then does the TMS work
Pre-filled and queued for approval
The bottom line

A tagged inbox is still an inbox. Someone applies the tags, maintains the rules, and then re-types the job into the TMS anyway. TIO extracts and binds the data automatically and runs the job through to the TMS, with the filer of record in control of every filing.

See it run to the TMS