Document agents designed around approvals, not autonomy theater.
A fictional agent workflow that demonstrates tool permissions, review checkpoints, structured outputs, and observable failure recovery.
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.
Engineering choices,
not feature lists.
- 01
Split the workflow into narrow tools with explicit permissions, schemas, timeouts, and retry limits.
- 02
Placed approval checkpoints before irreversible actions and stored the evidence behind every generated field.
- 03
Evaluated completion quality and reviewer correction rate across representative document families.
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.
The context behind
the result.
Fictional example. These values illustrate the content structure; they are not measured results. Replace them and attach your own supporting artifacts before publishing.
Evaluation context
- Example status
- Fictional document-review scenario; no real customer savings are claimed.
- Comparison conditions
- For your project, compare similar document families and include reviewer corrections, exceptions, and approval time.
- Metric definition
- The illustrative 42-to-20-minute change corresponds to 2.1× throughput at a fixed amount of work, not a 210% reduction in time.
Decisions and alternatives
- Require explicit approval before exporting a consequential output.
- Make every extracted field traceable to its source and keep retries bounded.
Limits of this result
- Human review remains part of the workflow and must be included in time/cost estimates.
- The demo does not execute agents or connect to document stores; it illustrates the presentation structure.
| Metric | Baseline | Result |
|---|---|---|
| Review time per example document | 42 minutes | 20 minutes · 2.1× throughput |