AGENTPR™ RESPONSIBLE AI

Trustworthy media intelligence isn't a checkbox. It's an engineering discipline.

This page documents how we build, review, and disclose every AI-generated brief that leaves the AGENTPR™ platform.

1.

Our framework — Engineering of Trust™

Engineering of Trust™ is the discipline behind every AGENTPR™ brief. It sits on three pillars: methodology (the GASD™ pipeline — Gather, Analyse, Synthesise, Deliver, run by four specialised agents), transparency (every source we read is shown; every source we filter out is explained), and accountability (confidence labels, human-review prompts, and a clear paper trail from raw signal to final recommendation).

Trust isn't a marketing claim. It's a series of engineering decisions repeated the same way for every brand, every brief, every week.

Methodology

The GASD™ pipeline. Four specialised agents. Eight structured sweeps. The same sequence every time.

Transparency

Every source read is shown. Every source filtered is explained. If you can't trace it, we don't ship it.

Accountability

Confidence labels, human-review prompts, and a clear paper trail from raw signal to final recommendation.

2.

Explainability — how confidence labelling works

Every claim in an AGENTPR™ brief carries a confidence label so analysts and decision-makers can weigh it appropriately:

High confidence

Corroborated across multiple credible sources with consistent sentiment and clear context.

Medium confidence

Supported by fewer sources, mixed signals, or partially ambiguous context. Worth acting on with care.

Low confidence

Thin sourcing, conflicting signals, or sarcasm / cultural-nuance risk. Surfaced for human review before any external action.

Each brief also shows source attribution per claim, the full list of sources read, and the list of items filtered out (and why). If you can't trace it, we don't ship it.

3.

Human oversight — when and why we flag for review

AGENTPR™ is an analyst-augmentation system, not an autonomous decision-maker. The platform automatically flags a brief for human review when any of the following are detected:

  • Low overall confidence on a key claim
  • Sarcasm or irony risk in sentiment classification
  • Cultural-nuance ambiguity (idiom, code-switching, region-specific framing)
  • Crisis or reputation-risk indicators above threshold
  • Conflicting signals between sentiment, emotion, and intent classifiers

Flagged briefs are paused for analyst sign-off before they're shared with clients or executives. Human judgement remains the final layer.

4.

Data — what we collect, how long we keep it, who has access

Collect

Account details, the brand briefs you run, the public sources we read on your behalf, and basic usage telemetry needed to run the platform.

Retain

Brief outputs are retained for the life of your subscription so you can revisit history. You can request deletion at any time.

Access

Only you and authorised members of your workspace. Internal access is role-gated, logged, and limited to support and abuse investigations.

Full detail — including legal basis, regional storage, and your rights — lives in our Privacy Policy.

5.

Third-party AI — Claude (Anthropic) powers our analysis layer

AGENTPR™'s analysis and synthesis agents (ZALI and NZE) are powered by Claude, built by Anthropic. We selected Claude for its safety posture, long-context reasoning, and suitability for high-stakes reputation work.

Customer data sent to Claude is processed under Anthropic's commercial terms and is not used to train their models.

Review Anthropic's Usage Policies and Privacy Policy for the underlying commitments.

6.

Feedback — how to report concerns or incorrect outputs

If you spot a brief that's wrong, biased, or unsafe, tell us. Every report is reviewed by a human and used to improve the methodology and guardrails.

Email support@useagentpr.com with the subject "Responsible AI feedback"

Please include the brief ID (if available), the specific claim, and what you believe is incorrect.

AI Output Contestation

You believe a specific score or finding about your organisation is incorrect.

Email: support@useagentpr.com — subject "AI Output Contestation"

Response: Human review within 14 business days

Data Protection

Exercise a data right or report a privacy concern.

Email: support@useagentpr.com — subject "Privacy / Data Protection"

Response: 30 days. Breaches reported to NDPC within 72 hours.

7.

Our Glassbox AI Policy

Glassbox AI is the principle that any AI system shaping public narrative must be inspectable — sources, methodology, and decisions visible end to end.

Glassbox AI Policy — Published

The full policy documents seven principles: the Glassbox principle, data handling, how our AI makes decisions, confidence labelling, prohibited uses, your rights, and how to raise a concern.

Accountability

Accountable Executive
Dr. Celestine N. Achi — Founder & CEO, Cihan Media Communications
Technical Co-owner
Orimolade Oluwamuyemi, FIIM — Strategic Technology Adviser
Regulator of Record
Nigeria Data Protection Commission (NDPC)
Version
v1.0 — June 2026. Next review: September 2026.

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