How do you prevent over-personalisation becoming intrusive?
We limit personalisation to professional context—beat, editorial focus, and content themes. The system does not use personal or sensitive behavioural profiling.
What is your stance on transparency in AI-generated communications?
Transparency is important, but it should be applied at the organisational level. We support disclosure policies where companies choose to indicate AI-assisted drafting if required.
How do journalists benefit financially or professionally from this?
Indirectly, through receiving more relevant, higher-quality pitches that reduce time spent filtering irrelevant outreach. It helps improve signal-to-noise in their inboxes.
Could this make PR more biased toward data-driven targeting?
It could improve efficiency, but editorial judgement remains central. The system is designed to support decision-making, not replace human assessment of story relevance.
How do you avoid reinforcing existing media bias in your models?
We use structured data inputs and diverse media sources. However, we also recognise that any system reflecting historical media behaviour must be carefully monitored for bias drift.
What happens if journalists don’t want personalised AI-generated pitches?
They already receive personalised outreach today manually. This system simply improves how relevance is achieved. Journalists will still control engagement as they always have.
Is this platform dependent on large language models like OpenAI?
It uses modern AI systems, but the value comes from how those models are structured within media workflows, not the underlying model alone.
How do you handle regulatory or compliance concerns?
We design with enterprise compliance requirements in mind, including data handling, auditability, and controlled content generation environments.
What is your biggest competitive risk?
The main risk is commoditisation of basic AI writing tools. That’s why we focus on workflow integration, journalist intelligence, and media-specific applications rather than generic content generation.