Define the problem.
Choose one process, change, handoff or supplier decision. Agree what needs to be understood and who can authorize the work.
How We Work
A clear process, from the first question to the next action.
We work on a defined part of your business, explain what we examine, and leave your team with findings and records it can use.
Check how the work actually happens.
Review the relevant people, systems, information, permissions and decision points. Separate verified findings from missing information.
Carry out the agreed work.
Complete the assessment, support the approved change, prepare the handoff or rehearse the supplier transition within the agreed scope.
Check the result and hand it over.
Explain what was checked, what remains unresolved, who owns the next actions and what needs to stay current.
The standards behind our work
The research standards our founder, Dr. Benjamin Royer, learned at Cornell University are a lifelong commitment. They shape how ConfigCap frames questions, examines evidence, and reaches conclusions.
We know what we can do. We know what we cannot.
Knowing where a finding holds, and where more evidence is needed, is part of the work from the beginning. We distinguish observations from assumptions, keep conclusions within the evidence, and make the reasoning open to scrutiny.
The research is the foundation. Your operation is where it must prove useful.
ConfigCap does not provide a universal trust score, prove truth through credentials, certify legal compliance, or replace qualified legal, audit, engineering, safety, or conformity judgment.
Research and technical foundations
Explore the research concepts and technical detail behind the approach, including the assumptions and evidence that give each finding its meaning.
Our approach is grounded in the CSF research corpus. In practical terms, that means looking beyond a single AI model to the people, information, permissions and review routes that determine what happens next.
The research informs the work; it does not replace customer evidence. Each finding identifies what was checked and what remains unresolved. Where further engineering or specialist judgment is needed, it is separately scoped.
Canonical distinction
Outcome, eligible residue, and enterprise learning stock remain distinct.
T_nTrust
The cycle-level outcome at a declared decision point. It is produced, not assigned by score.
R_nCSF Configurational Capital
Verified, eligible, scoped, variable-quality, depreciating residue that may cross the cycle boundary.
K_tauToken Capital
The broader rights-bounded enterprise learning stock. Related to the other registers, never interchangeable with them.
Minimal cyclical map
The operator changes the configuration, not trust by declaration.
The current configuration produces a cycle-level outcome. Only verified, scoped, eligible, and depreciating residue may condition the next cycle.
T_n = f(W, N, I) under suppression by G
R_n = eligible residue after recognition
K_tau = rights-bounded enterprise learning stock
R_n = eligible residue after recognition
K_tau = rights-bounded enterprise learning stock
Relational Diagnostic Toolkit
Eight visible diagnostic flags.
The components identify distinct failure modes. They remain visible rather than being hidden inside one number.
RDT-01Integrity
RDT-02Benevolence
RDT-03Competence
RDT-04Consistency
RDT-05Transparency
RDT-06Extra-Local Integration
RDT-07Grade Asymmetry
RDT-08Relational Density
Cycle-boundary eligibility
The recognition gate.
A state crosses the cycle boundary only after six explicit evaluations for the declared context.
01 Production
The state or output exists in the declared workflow.
02 Verification
Evidence supports the stated result and provenance.
03 Scope and freshness
The evidence remains current and bounded to the decision context.
04 Challenge and correction
Material challenges can be heard, resolved, and reflected in eligibility.
05 Rights and control
Use, transfer, retention, and remedy rights are explicit.
06 Policy eligibility
The state satisfies the governing policy for this cycle boundary.
Evidence before confidence
A material output carries its record.
Source, scope, confidence, time window, method version, status, challenge state, rights basis, and retention class remain attached where relevant.
Internal calibration is not field validation.
Simulation-derived thresholds, design targets, and mechanistic parameterizations remain labeled until external replication and domain-specific telemetry support stronger claims.