Responsible AI | MartialQA
Responsible AI

AI does the checking. People stay in charge.

MartialQA uses AI to score customer conversations for correctness. That AI reads real conversations between real people, so we hold it to clear rules. This page is those rules, in plain language: what our AI does, what it never does, and who is accountable for it.

Last updated: August 2026

Our principles

Six commitments we design around

01

Humans make the decisions

AI scores conversations and drafts coaching. It never disciplines, ranks for dismissal, or replaces a manager's judgement. Decisions about people are made by people who know them.

02

Grounded in your knowledge base

Correctness is judged against your own documented policies and answers, not the model's general opinion. If your knowledge base does not cover it, we flag it rather than guess.

03

Your data is never training data

We do not use your conversations to train models, and our AI providers are contractually barred from doing so. Your data is processed to produce your scores, and that is all.

04

Every score is explainable

No black-box numbers. Each score is traceable to the relevant scorecard criteria and, where applicable, the customer knowledge it was graded against, so anyone can check the work.

05

Agents can challenge any score

Agents see their own scores and the reasoning behind them, and can dispute a score through their manager. Disputes are reviewed by a person, and confirmed errors correct the record and feed back into calibration.

06

Only the data the job needs

We process conversations for quality assurance and nothing else, in line with POPIA. Data shared for a free audit is kept to an agreed sample and deleted from our systems within 14 days.

In practice

What this looks like day to day

Which AI we use, in the open

Transcription and scoring run on established model providers, each listed with its purpose, the data involved and its processing location on our Subprocessors page. AI providers are marked as such, and we update the page before adding a new one.

We measure the AI like we measure agents

We routinely compare AI scores against human reviews, watch for drift when your knowledge base or scorecard changes, and recalibrate when the two disagree. A scoring system nobody audits is exactly the problem we sell against.

Consistency is the fairness mechanism

MartialQA scores all eligible conversations ingested into the platform against the same scorecard and the same knowledge base. No cherry-picked samples, no reviewer mood, no favourites. Where accents or audio quality affect transcription, that is treated as our problem to fix, not the agent's.

AI has limitations

AI-generated transcription and scoring can be incorrect. Accuracy may be affected by audio quality, language, accents, incomplete customer knowledge, ambiguous conversations and model behaviour. Scores should be reviewable by people rather than treated as infallible, which is why agents can see and dispute them.

Sensitive data is handled with care

Conversations are processed under the safeguards in our security programme and Data Processing Addendum: encryption in transit and at rest, EU hosting, access limited by role, and redaction options for audit samples.

Someone is accountable, by name

Responsible AI at MartialQA is owned by our founding team, reviewed as part of our security programme, and this page changes when our practice changes. Questions or concerns about an AI-generated score go to info@martialqa.co.za and are answered by a person.

Drawing the line

What our AI never does

✕Train on your conversations, or anyone else's, at MartialQA or at our AI providers.
✕Make or recommend employment decisions. Scores inform coaching; managers decide everything else.
✕Talk to your customers. MartialQA reviews conversations after the fact; it never answers on your behalf.
✕Produce a score without reasoning attached, or one that cannot be traced to your knowledge base and scorecard.
✕Sell, share or repurpose your data beyond running QA for you.

MartialQA is not designed to make solely automated employment decisions that produce legal or similarly significant effects on people. AI-generated scores are intended to support quality assurance and coaching, and any decision affecting a person requires human judgement, consistent with the safeguards POPIA section 71 sets out for automated decision-making about a person's performance at work.

Security → Subprocessors → Data Processing Addendum → Privacy Policy →