All selected work
03 / Case study Agents · Document operations

Document agents designed around approvals, not autonomy theater.

A fictional agent workflow that demonstrates tool permissions, review checkpoints, structured outputs, and observable failure recovery.

Headline outcome 2.1× faster review · 100% approval traceability
System / 03Designed & engineered by Alex
01 Problem → decisions → result
The challenge

What made this
worth solving.

The sample operations team repeated the same extraction, comparison, and drafting steps across complex documents, but uncontrolled automation would have created unacceptable compliance risk.

The approach

Engineering choices,
not feature lists.

  1. 01

    Split the workflow into narrow tools with explicit permissions, schemas, timeouts, and retry limits.

  2. 02

    Placed approval checkpoints before irreversible actions and stored the evidence behind every generated field.

  3. 03

    Evaluated completion quality and reviewer correction rate across representative document families.

2.1×review throughput
100%approval traceability
0unreviewed actions
The result

What changed after
the system shipped.

In the demo scenario, reviewers completed work 2.1× faster while retaining a complete approval and evidence trail for every output.

Technology
TypeScriptPythonLangGraphPostgreSQLTemporalGCP
Next case study A support copilot that knows when evidence is not enough.