How BAI Analytics works

The big picture in two minutes.

BAI Analytics is the intelligence layer across all your customer feedback. Whatever channel feedback arrives on, it ends up in one place and is analysed the same way, so you can see what matters without stitching tools together.

Here is the model in four steps.

1. Bring feedback in from any source

Collect feedback however it reaches you:

• Surveys you build and share

• Uploads of existing spreadsheets and documents

• Connectors that pull tickets from your support and project tools

• Social listening that gathers reviews, social posts, and news from the open web

• AI Visibility that captures how AI assistants answer questions about your brand

2. Organise it into feedback groups

A feedback group is the container for one project, programme, or topic. Every source you add lands in a group, and BAI Analytics brings them all into the same model, so a Trustpilot review and an NPS comment sit side by side.

If your organisation has switched on PII redaction, personal information is removed from feedback as it arrives, before anything is stored or analysed.

3. Analyse it automatically

As feedback arrives, BAI Analytics surfaces themes and grouped themes across every source, scores sentiment, raises the things you're monitoring, and lets you segment the results by who answered. You can also track how everything changes over time. Nothing needs to be launched by hand: analysis runs on its own for every new response.

4. Share what you learn

Turn any group into a report: a shareable summary for stakeholders, on demand or on a schedule. You can also bring your insights into the AI assistant you already use (Claude, ChatGPT, and others) through the AI assistants section of Integrations.

What your organisation can use

Access is set up per organisation by the BAI Analytics team. Settings shows the add-ons enabled for yours and how much of your monthly allowance is left.

New here? Start with the Quickstart, then create your first feedback group.