About — Terzin AI

How It Works

Four weeks.
No consulting theater.

No platform integration. No HRIS dependency. No IT involvement.

Week 1

Role Intake

We ingest your job descriptions and map them against occupational data. No surveys, no interviews, no disruption.

Week 2

Task Decomposition

Every role is broken into its constituent tasks and competencies. A Tax Manager isn't one job — it's nine competencies.

Week 3

CAS Scoring

Each task scored across all three dimensions. Every score comes with a written justification you can verify.

Week 4

Blueprint Delivery

Role-by-role action plans: which tools, which training, which timeline. You walk into your board with a plan, not a PowerPoint.

Beyond Week 4 — Optional

Tailor the framework to your organization.

The 4-week diagnostic delivers the role-level baseline. From there, optional extensions calibrate it to your specific context.

Competency reweighting. Structured interviews and employee surveys with role-holders surface which competencies your organization actually emphasizes — and the framework re-weights to fit.
Strategy validation. Feedback sessions with leadership and managers pressure-test role-level recommendations against organizational constraints and priorities.
Periodic refresh. Recalibration on the cadence the work requires, as roles, tools, and AI capabilities evolve.

What We Believe

Principles, not platitudes.

Capacity, never cost-cutting.

We help organizations strategically adapt to AI — not lay people off. The Tax Manager who spent 8 hours on research now spends 1 validating and 7 on client strategy. That's a capacity multiplier.

Rigor you can verify.

Peer-reviewed methodology. Every score comes with a written justification you can challenge and verify.

Theory means nothing without action.

"Terzin" — from the Latin root meaning to refine and clarify. Every role gets a specific path: which tools, which training, which timeline.

Speed is a design choice.

Four weeks, not six months. No platform integration required. Insight delivered at the pace of AI change, not after it.

The Team

Not just data science.
Institutional insight.

Developed by an academic team led by a Professor and Chair in Public Policy and Management, with PhD researchers across disciplines. Our framework draws on peer-reviewed research, not recycled industry claims.

William Resh

Professor & Chair, Public Management and Policy

Georgia State University

Testified before Congress on federal workforce modernization. Creator of the CAS framework underlying Terzin, with research validated across several hundred federal occupational series. Former Editor-in-Chief of the Journal of Behavioral Public Administration. Contributor to the IBM Center for The Business of Government on generative AI and the federal workforce.

Yi Ming

PhD Researcher

Georgia Institute of Technology

Designed Terzin's technical architecture, including the retrieval-augmented generation pipeline that scores individual competencies across the three CAS dimensions. Specializes in large-scale occupational data systems and applied machine learning for workforce intelligence.

Xinyao Xia