Tina Kotek’s Payday Roulette

Oregon’s Workday Payroll failure began before Tina Kotek took office, but the settlement, worker relief, control redesign, and 2027 transformation now belong to her administration. Payday Roulette examines thousands of incorrect checks, the household costs transferred to state employees, Workday’s public claims of payroll configurability, and a confidential technical source’s challenge to Oregon’s necessity narrative.

Read More
Ethics, Governance Thomas Prislac Ethics, Governance Thomas Prislac

The Cost of Keeping One’s Name

What does it cost to remain honorable when institutions reward omission, invert reputations, and turn conscience into infrastructure? This long-form essay follows that burden through lived experience, philosophy, global traditions, and a practical appendix of internal controls.

Read More
Editorial/Commentary, Political Satire Thomas Prislac Editorial/Commentary, Political Satire Thomas Prislac

The Criminally Unaffiliated:

The raccoon does not care which house feeds it. It appears in blue when blue controls the pantry. It appears in red when red controls the waste bin. It attends labor functions in purple. It speaks fluent nonprofit. It knows several legislators by first name. Its ideology is access. Its governing philosophy is that whoever requests the receipt is the real threat to institutional stability.

The donkey and elephant may spend all year accusing one another of sheltering raccoons.

The more important question is why both keep leaving the darn window open when it’s dark out.

Read More
General Research, Internal Controls Thomas Prislac General Research, Internal Controls Thomas Prislac

The Hidden Data System Beneath AI

Drawing on internal-control practice and standards-oriented references including NIST AI RMF / NIST AI 600-1, ISO/IEC 42001, OWASP LLM and GenAI risk guidance, W3C PROV, W3C Trace Context, NIST SSDF, NIST Privacy Framework, NIST log-management guidance, NIST security and privacy controls, COSO internal-control concepts, and ICMJE authorship guidance, the paper proposes a control taxonomy for AI data events.

Read More