The Decision Record & Control Standard: An Open-Source Specification for Multi-Principal Governance Architecture

GRC market's single-principal architecture induces conformism, suppressing adverse signals

Current GRC platforms treat decision reasoning as an after-the-fact artifact, not a precondition of finalization. Prat (2005) shows that when a single principal observes the agent's action, the agent suppresses adverse signals to conform to known preferences — the conformism trap.

• Existing platforms (ServiceNow, RSA, MetricStream) document controls but not reasoning
• Outcome is a (0,1,1) Hollow Win: institution avoids penalty, manager's career protected, governance degrades

Multi-principal broadcast with at least one adversarial principal makes conformism strictly dominated

The DRCS Architecture Theorem proves that under simultaneous heterogeneous observation by multiple principals with conflicting objectives, agents internalize system welfare. The mechanism is the Decision Record & Control Standard (DRCS v2.0).

• Simultaneous broadcast prevents agent from optimizing record for any single principal
• Conflictoring Protocol (Postnieks 2026c) formalizes adversarial multi-principal coordination

DRCS adds Field 17 to fifteen regulatory convergent fields, sealed via Merkle tree

Fifteen fields converge across 16 governance regimes with α=0.91. Field 17 captures system welfare impact (ΔW). Cryptographic integrity through Merkle tree sealing; Gaming Signature Index (GSI) detects ceremonial compliance.

• Pre-decisional completeness: record must be completed before finalization (24-48h window for emergencies)
• GSI feature set includes linguistic complexity, information density, internal consistency, temporal specificity, ΔW plausibility

Field 17 forces decision-makers to estimate welfare impact on non-parties

No GRC system captures effects on parties not at the table. The W-Independence impossibility result shows bilateral contracting cannot price ΔW. Field 17 uses domain β_W priors (range 0.76–51 across 61 MST domains) to calibrate decision-specific welfare estimates.

• β_W = ΔW / Π: annual welfare destruction per dollar of revenue in a domain
• Examples: gig economy β_W=0.76, coal β_W=6.95, firearms β_W=21.98
• Four-step workflow: name domain, cite β_W prior, identify exposed revenue, state welfare mechanism

Six programs test behavioral mechanism, GSI validation, cost-of-capital, litigation, memory, and net agency costs

RA.1 tests whether structured documentation improves reasoning or merely its appearance, using ex ante prediction pairing and Brier scores. Camuffo et al. (2020) RCT with 116 startups shows structured hypothesis documentation improves termination and pivot decisions.

• RA.2: GSI validation target >80% accuracy on held-out test set
• RA.3: DORA diff-in-diff and SOX 404(b) regression discontinuity to measure cost-of-capital effects
• RA.6: Retrospective cohort study using PACER database on litigation outcomes
• RA.7: Time-motion study on reconstruction speed after leadership turnover
• RA.10: Net agency cost analysis: α×V×Δθ > n×c for firms with V>500M, n<1000, c<500

Gaming Signature Index must distinguish genuine from ceremonial records to activate adversarial principals

A ceremonially completed record satisfies structural requirements but provides no signal about welfare destruction. Supervised learning classifier trained on known-genuine (military after-action reviews, medical case conferences) and known-ceremonial (compliance attestation, boilerplate risk registers) corpora.

• Feature set: linguistic complexity, information density, internal consistency, temporal specificity, ΔW plausibility
• Below 80% accuracy → GSI cannot be deployed as adversarial activation trigger

Natural experiments exploit DORA, SOX 404(b), and industry clockspeed to test financing-friction reduction

DORA (EU, applicable Jan 2025) creates exogenous variation in ICT-risk documentation intensity. SOX 404(b) $75M public float threshold provides regression discontinuity (Iliev 2010). Triple-difference design isolates documentation channel from bundled resilience requirements.

• DORA design requires waiting for full post-application panel; earliest credible inference late 2027
• SOX 404(b) design immediately executable with existing data
• Industry clockspeed variation (Eisenhardt 1989) tests if governance premium appears in both high- and low-clockspeed sectors

DRCS records may improve litigation outcomes via business judgment rule compliance

Retrospective cohort study using PACER database: corporate defendants in securities fraud and contract disputes where internal documentation was contested. Compare structured DRCS-type records vs. standard email correspondence.

• Outcomes: settlement amounts as fraction of claimed damages, case duration, dismissal probability
• Within-case comparison: same decision documented in both DRCS record and email

RA.7 is the most directly testable proposition: reconstruction in hours vs. weeks

Time-motion study: new executive reconstructs rationale for five predecessor decisions. DRCS condition: structured 17-field records. Control: email threads, meeting minutes, board presentations. Prediction: DRCS organizations achieve reconstruction in hours; controls require weeks or months.

• Stranger test: five reconstruction elements (what, who, why, authority, reconsideration trigger) in five minutes
• Extended design: natural experiment using S&P 500 CEO/CFO departures 2023-2027

Pacioli parallel: open standard + institutional process + empirical evidence lowers adoption costs

Like Pacioli's 1494 systematization of double-entry bookkeeping, DRCS standardizes existing partial practices. Apache 2.0 license removes proprietary barrier. ISO/IEEE standards track creates institutional legitimacy. Minimum viable pilot: 30 organizations, 10-20 decision-makers each, 12-month implementation.

• Pilot primary criterion: GSI >70% genuine classification in treatment group
• Secondary criterion: stranger test >80% of records pass five-minute reconstruction
• Regulatory adoption follows GE2 cascade: early mandates create adverse selection pressure

DRCS provides a common structure for translating MST diagnoses into public-policy action

Every jurisdiction makes consequential choices through agencies, but most leave system welfare outside the decision record. The regulator-facing unit is a six-part action record: agency, instrument, rule change R, Field 17 record, Five-Minute Test, failure mode.

• Game-Change Conjecture: for every institutional-PST domain, a welfare-improving game transformation R exists
• Fiscal Capture Theorem: when fraction of adversarial principals k falls below k*, multi-audience activation fails
• Jurisdictional question: which authority can impose which rule change through which instrument?

DRCS creates a new product category: multi-principal governance architecture with welfare measurement

Migrating from single-principal to multi-principal architecture is not an incremental GRC improvement. New buyers (general counsels, boards), new value propositions (welfare-destruction early warning, financing-friction reduction, litigation risk reduction), new integration requirements (adversarial principal access, cryptographic sealing, real-time GSI monitoring).

• Microsoft 365 deployment vector embeds DRCS in existing workflow without separate login
• Fourth Pillar concept: Decision Accounting as native M365 product
• Three governance-quality tiers: Tier 1 (basic fields), Tier 2 (GSI monitoring), Tier 3 (adversarial principal activation)