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Zero to 100

Connected AI across your work

Most AI tools start from zero every session. They do not know the person’s meetings, inbox or work, so the output is generic and someone has to re-explain the context each time. Private AI takes the opposite approach: one AI layer connected across email, calendar, meetings, documents, knowledge bases and internal systems, sharing a single context so it already knows the person’s work. Drafts, summaries and answers are about them and their organisation, and nothing leaves the environment.

One private workspace across email, calendar, meetings and documents, drafting a reply from the organisation's own content (demo data). One private workspace: a smart inbox on the left, the message in the middle, and a draft prepared from the organisation’s own context on the right (demo data).

What it connects

  • Inbox: a smart inbox that sorts what needs a reply and drafts responses in the person’s voice.
  • Calendar and meetings: upcoming meetings, briefings prepared in advance, and notes taken automatically.
  • Drive: the organisation’s documents, transcripts and workflow outputs, used to ground every answer.
  • Chat: one place to ask across all of it, with the option to pull in a specific email, meeting or file, search the web, or run deeper research.
  • Workflows: recurring work described once and then run on a schedule.

Ask across all your work in one place: mention a specific email, meeting or document, search the web, or run deeper research (demo data). The chat layer answers across the connected workspace. Mention a specific email, meeting or file to ground the question, or send it to the web (demo data).

What it removes

  • Re-explaining context to AI every session.
  • Switching between several tools to get one thing done.
  • Taking meeting notes by hand instead of listening.

Good to know

This is the compliant alternative to public Copilot or ChatGPT: the same everyday help, grounded in the organisation’s own work, running inside its own environment. The more it is used, the more context it has, so the output keeps getting more specific over time.

Private AI is the secure environment where AI runs on the organisation’s own data. The agents and automations that do the work are built in Agents & automation, and can run inside this environment when the data is sensitive.