This case study shows how SBL turns operational complexity into a governed digital operating model where workflow, data, quality and decisions can be managed together.
The institutional challenge
- Vendor Quality Failures: Existing transcription partners delivered low-accuracy work, causing massive downstream bottlenecks.
- Mounting Backlogs: High-volume QA requirements became unavoidable and cost-prohibitive to manage internally.
- Deadline Pressure: The client needed an offshore partner capable of understanding complex requirements and delivering within narrow windows.
What SBL engineered
- Transformed legacy information into searchable, secure and AI-ready institutional knowledge.
- Preserved context, provenance and validation controls so the records could support trusted decisions.
- Built the work as a governed records-intelligence program rather than a one-time conversion task.
- Consult & Align: Prototype submission and sample collection to align SBL's QA process with high heritage standards.
- Workflow Setup: Designing a custom training module and migrating a dedicated expertise pool to the project.
How the work should be understood
SBL's role is not limited to executing a task. The value comes from understanding the operating workflow, engineering the data and automation layer, applying governance controls, and helping the institution move from manual dependency to intelligent, measurable operations.
