Agentic ETL Pipelines
Extract fields, apply configured validation rules, hold uncertain records for review, and retain links to the source documents.
View the capabilityThinkStack for faster expert review
Documents, cases, and submissions sit in a queue while experts read, sort, and draft before they can decide. ThinkStack agents prepare the packet from your approved sources, so reviewers start with the evidence organized and spend their time on judgment.
The work to improve
In many regulated processes the expert's judgment takes minutes and the waiting takes weeks. Files arrive unsorted. Someone assembles the evidence, checks it against a checklist, and writes a first version before a qualified reviewer can decide anything. Agents can do that preparation in a defined workflow, with every source open to inspection.
Configured agents, tools, and workflow steps
Defined access · Configured checks · Accountable reviewers
Where to start
Choose one queue where the backlog is visible and a reviewer can describe an acceptable prepared file. These examples show the pattern; scope, systems, and review roles depend on your configuration.
Review example
The reviewer sees the proposed text, the passage it came from, and the reason the draft needs a person's attention.
Your process owner sets the rules, the exceptions, and who may approve them. The agent proposes; the reviewer decides.
Pilot measurement
Compare the same file types and volumes before and during a pilot. Count the time reviewers spend checking and correcting the prepared work, not only the time the agent saves.
Platform capabilities
Review the relevant capabilities with your technical team and confirm the configuration for the intended use.
Extract fields, apply configured validation rules, hold uncertain records for review, and retain links to the source documents.
View the capabilityDefine the sequence of steps, tool calls, inputs, and outputs for a repeatable workflow.
View the capabilityReview proposed edits as tracked changes, with supporting source passages, author details, and revision history.
View the capabilityRetrieve relevant passages from connected information within the configured permissions.
View the capabilityRun SQL and Python analyses, then inspect the code, tables, charts, and execution records.
View the capabilityInspect tool calls, source retrievals, generated responses, errors, and usage costs for each run.
View the capabilityRelated
See how this outcome connects to the work of other teams and industries.
Common questions
No. Agents prepare the packet and reviewers keep the decision. Whether a reviewer needs less time depends on the quality of the prepared file, and you measure that in a pilot.
Uncertain or conflicting items are held for a person, and every suggestion shows its source so reviewers can check it. Corrections count toward the pilot, so a prepared file that costs more time to fix than it saves is visible.
A recurring review with a visible backlog, documents your team is permitted to use, a clear checklist, and a reviewer who can say what "ready" looks like.
Choose one queue and agree on representative files, the baseline, and the acceptance criteria. We will map the sources, the review steps, and where approved results go in your existing systems.