BACORE / SYSTEM DOCUMENTATION 01 / 04
Workflow Review Hub
Turn documents into decisions your team can review.
Workflow Review Hub connects document intake, AI extraction, source evidence, human approval and integration with business systems.
Document intake • AI extraction • Human review • System integration
REVIEW EXAMPLE • DOCUMENT 024
Keep the source in sight.
EXTRACTED FIELD
Service start: 14 October
Source: page 2, service schedule
REVIEW REQUIRED
Two dates found
Confirm the correct date before approval.
Document → Extracted fields → Reviewer → Business system
Sample review record: resolve the ambiguous date before sending the approved data to the business system.
APPLIED AI / WORKFLOW ENGINEERING
01 / INTAKE
Documents & metadata
02 / EXTRACT
Fields with evidence
03 / REVIEW
Human approval
04 / INTEGRATE
Traceable delivery
THE PROBLEM
Extraction is only the beginning.
Documents arrive in different formats, contain conflicting details and often trigger work in another system. A useful application must make uncertainty visible, give reviewers enough context to decide and keep approved data consistent with downstream records.
EXAMPLE SCENARIO
An operations team receives a service agreement. AI proposes the relevant fields and their source passages. A reviewer resolves an ambiguous date, approves the record and hands it to the existing operations system through an API.
SYSTEM WORKFLOW
How the system works.
01
Capture the original
Store the document, its origin and a version identifier. File validation and access rules sit at the intake boundary.
02
Extract against a schema
Ask the model for specific fields and source references. Validate the structure, required values and business rules before it reaches the review queue.
03
Make review explicit
Present the source beside the extracted fields. Record corrections, reviewer identity and the approved version; unresolved fields remain visible.
04
Deliver and reconcile
Send approved records through a connector. Track acknowledgements and reconcile retries so repeated delivery does not create duplicate business actions.
ENGINEERING DECISIONS
Key technical decisions.
Recoverable background jobs
Explicit states and background jobs separate upload, extraction, review and delivery. Each job persists its progress so processing can resume after an interruption.
Controlled AI output
A model adapter, schema validation and retained source references keep model output separate from approved business data. Reviewers control which values become part of the approved record.
Integrations that recover
An outbox stores records waiting for delivery. A unique key prevents retries from creating duplicate actions. Failed deliveries stay visible and can be retried.
Technology: C# / .NET · PostgreSQL · RabbitMQ · Object storage · REST APIs · Model adapters
VERIFICATION
How to verify it.
Use these checks to verify normal operation, failure handling and recovery.
Conflicting or missing data
Submit a document with conflicting or missing fields. Verify that it remains in review and that the reviewer can open the original source.
Duplicate requests or delivery retries
Replay the same delivery request. Verify that one approved version produces one downstream business action.
Worker interruption
Interrupt a worker during processing. Verify that the job resumes from persisted state and preserves its history.
SYSTEM SCOPE
What is included.
The system includes a document intake API, extraction workers, a review screen and a connector to the target system. Schemas define the fields to extract. Review rules define who approves them. Deployment settings and recovery checks complete the workflow.
ARCHITECTURE + HANDS-ON IMPLEMENTATION
Bring your document workflow.
Share an example input, the decisions your team makes and the system that needs the result. BACore can scope the architecture and implement the workflow.
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