BaroxWorkflow digitalization
From inbox to approved.
A purchase request workflow with clear ownership, review, and an auditable decision trail.
Explore workflowWorkflow examples
A clearer path
from problem to possibility.
Explore how data, digital workflows, and practical AI can improve everyday operations. These are illustrative solution concepts, not completed client projects. For delivered work, see the project portfolio.
3 workflow examples shown.
Data foundations
One view. A clearer picture.
An operational dashboard that connects scattered data into one consistent view.
Explore workflowPractical AI
Documents into useful data.
AI-assisted document processing with validation and human review built in.
Explore workflowThe interface previews above use illustrative data. No client names or performance claims are implied.
From inbox to approved.
The challenge
Requests arrive by email with missing details. Teams chase approvals and update a shared spreadsheet by hand.
A better workflow
One structured form captures the request. Rules route it to the right reviewer, reminders follow up, and each decision is recorded.
What we would measure
Track approval turnaround, overdue requests, and incomplete submissions.
Structured request → Budget review → Human approval → Recorded outcome
One view. A clearer picture.
The challenge
Managers combine exports from different systems. Definitions vary, and reports are out of date before they are shared.
A better workflow
Agreed definitions and quality checks feed a connected dashboard. Teams can see data freshness and investigate exceptions.
What we would measure
Track report preparation effort, data freshness, and reconciliation errors.
Connect sources → Validate data → Shared definitions → Operational dashboard
Documents into useful data.
The challenge
Teams read each document, retype key fields, and manually check the information against existing records.
A better workflow
AI proposes extracted fields. Validation flags missing or uncertain values, and a person reviews exceptions before records are updated.
What we would measure
Track field-level accuracy, review time, and correction rates against manual processing.
Receive document → Extract fields → Validate → Human review → Update records
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