Challenge
Where work slows down
For data office teams, policy checks are hard to scale when every review depends on manual interpretation. Teams need consistency without losing context or judgment.
Agentic workflow
Apply policy playbooks for data office teams using agentic workflows
Help data office teams apply repeatable policy playbooks to document reviews with evidence preserved.
Challenge
For data office teams, policy checks are hard to scale when every review depends on manual interpretation. Teams need consistency without losing context or judgment.
Workflow preview
TextMine workflow
How TextMine helps
TextMine applies reusable playbooks to each document, routes exceptions for review, preserves reasoning and evidence, and produces governed outputs.
Execution time
4-7 min
Estimated time saved
3-6 hrs per run
Estimated from the workflow pattern, including intake, review, routing, output generation, and downstream handoff.
Workflow design
Steps and key blocks
Each workflow page maps the business process to reusable TextMine actions, reviewers, and connected systems.
Workflow pattern
- Trigger from processed documents, intake submissions, or manual review requests.
- Apply a playbook that checks policy criteria against source evidence.
- Use AI logic, confidence, and reviewer assignment to resolve exceptions.
- Generate outputs, update records, and notify stakeholders with decisions.
Key blocks
- Apply playbook, AI logic, AI review
- Decision policy matrix, Confidence, Add reviewer
- Create or update record, Custom report, Send email
See it live
See this workflow in TextMine
Book a demo to map this workflow to your documents, systems, and controls.
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