AI-generated content can appear polished and convincing while containing unsupported claims, weak evidence, unclear assumptions or recommendations that exceed the authority available to act on them.

I provide structured AI output evaluation and governance reviews to help businesses, founders and creative teams identify these issues and make better-informed decisions.

Review of up to 3 client-supplied AI-generated outputs within one agreed use case

Assessment against the intended task, brief and available supporting evidence

Identification of unsupported, partially supported or unclear claims

Review of evidence gaps, assumptions and verification requirements

Examination of decision authority, approval boundaries and proposed actions

Evaluation of relevant consistency, clarity and output-quality issues

Prioritised findings and practical recommendations

One consolidated written review report covering:

An executive summary of the findings

An assessment of each submitted output

Key claims and their available evidence support

Identified gaps, risks and unresolved questions

Required verification or approval steps

Recommendations for correction and improvement

A final assessment against the agreed review criteria

You share your AI outputs, original task or brief, and available evidence.

We agree on the review criteria and permitted scope.

I evaluate the materials and distinguish supported findings from assumptions or unverified information.

You receive a structured report with prioritised recommendations and next steps.

Introductory price: $175 per review package.

Delivery: 4 working days after receiving the agreed materials.

Scope: Up to 3 supplied outputs within one use case. Each output may contain up to 2,000 words of text or equivalent agreed material. Total supporting evidence is limited to 10 documents or source links.

Extensive external research, live system testing, regulatory interpretation, technical security testing, implementation and additional review rounds are outside the base package.

My work through AsloMatica includes the development and documentation of the Authority Power System (AAPS), an internal framework for separating evidence, claims, organisational authority, current operating state, output production and quality assurance.

The public portfolio demonstrates a structured evaluation method and illustrative worked examples. It is not presented as independent certification, an externally audited system or proof of deployment for a client.

This is an advisory quality and governance review, not a legal opinion, regulatory compliance certification, financial audit, cybersecurity assessment or guarantee of AI model accuracy.

Findings depend on the materials supplied and the checks agreed within the project scope. Final operational decisions and approvals remain with the client's authorised personnel.

The objective: Help you understand which parts of an AI-generated output are supported, what still needs verification, and which actions require appropriate human authority before use.