RESEARCH INTEGRITY
Evidence deserves integrity.
The boundaries that make research useful, credible and responsible.
Academic authorship
We support coaching, research design, methods, analysis, interpretation and permitted editing. We do not offer ghostwriting of assessed submissions, impersonation, fabricated sources or data, undisclosed authorship substitution, or guaranteed academic outcomes. Institutional rules and disclosure requirements take precedence.
Transparent evidence
Research should distinguish source facts, analytical findings, assumptions and recommendations. Methods, dates, uncertainty and limitations belong in the deliverable. Illustrative website scenarios are not presented as completed case studies.
Participant dignity
Research involving people needs suitable consent, safeguarding, accessibility and review. Where formal ethics approval is required, it must be obtained through the appropriate institution before the relevant activity begins.
Responsible AI
AI-assisted work should be checked by an accountable person. Source verification, evaluation, data permissions, privacy risks and possible bias must be considered. Do not upload confidential client or participant information to external AI tools without an agreed basis and safeguards.
Professional scope
Clinical, financial, legal, compliance and cybersecurity topics are offered as research and decision support. Advice, certifications or actions reserved for licensed professionals remain their responsibility. Conflicts of interest should be identified and managed during scoping.
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