Pilot result
Approx. 30% reduction
In selected workflows, the pilot showed approximately 30% reduction in manual effort.
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Legacy system automation
Legacy Browser Workflow Agent
Simulates form entry, lookup, and draft saving in a legacy web system while keeping final responsibility actions under human approval.
Except where public-data sources are explicitly named, pages use synthetic demo data only. Not based on any employer, customer, or production system.
Business input
Operations staff process a repetitive queue inside an old browser-based workflow every day.
- Task queue
- 24 request records requiring lookup, form entry, draft save, and status checks.
- Risk boundary
- The agent can prepare drafts, but cannot execute final responsibility actions.
- Success metrics
- Task success rate, manual intervention rate, p95 step time, exception causes, and time saved.
Human review / audit
- Every step has a timestamp, input summary, output summary, and exception category.
- The agent stores no production credentials and does not execute final submit actions.
- The result applies only to selected workflows, not every scenario.
Agent steps
- 1Read request recordCompletePick the next synthetic record and check whether required fields are complete.
- 2Simulate browser operationReadyOpen the legacy page, fill the form, select dates, and save a draft.
- 3Handle exceptionsReadyRoute missing-address or date-conflict cases into the human intervention queue.
- 4Wait for human confirmationReadyShow diffs, screenshot placeholders, and action logs before final submission.
Output
Intervention reasons
Missing fields, date conflicts, insufficient permissions
Exceptions are classified for the next workflow improvement cycle.
Rollout decision
Keep human-in-the-loop
Only low-risk draft actions are automated; final responsibility actions stay with humans.
What this proves
legacy system automationguardrailshuman-in-the-loopenterprise rollout