AI-assisted classification at enterprise scale.
Allegis Group (via TEKsystems) · 2024 – Present
AI-assisted classification at enterprise scale with governance considerations.
01
Executive summary
Built an AI-enabled Power Automate workflow to assess document risk and sensitivity for data-governance leadership, replacing a manual review process.
02
Context and constraints
Document risk and sensitivity were assessed through a manual review process.
03
Role and scope
- Organization
- Allegis Group (via TEKsystems)Hanover, MD — Remote · Dec 2024 – Present
- Role
- Senior Analytics Engineer / Data Migration Lead
- Scope
- Risk and sensitivity assessment across an enterprise document estate.
04
System architecture
An abstract view of the transformation shape: disorder on the left resolving into governed structure on the right. It carries no proprietary schema, screen, or client detail.
05
Key decisions and rationale
Awaiting verified detail
The architecture decisions taken here, and the reasoning behind them, are not established by the current source brief.
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06
Implementation
Awaiting verified detail
How the work was sequenced and delivered is not established by the current source brief.
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07
Outcomes and evidence
AI-assisted classification at enterprise scale with governance considerations.
- 200,000+
- Documents classified
08
Technology and stakeholders
Technology
- Power Automate
- AI Classification
- Document Intelligence
- Governance
- Enterprise Automation
Stakeholders
Data-governance leadership.
09
Operating principles
Awaiting verified detail
The transferable lessons from this engagement are not established by the current source brief.
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