AI & Data
AI becomes useful when your business data is structured.
Most AI tools fail in companies for a simple reason: they have no reliable business context. XaaX solves the data problem first — then applies AI where it is grounded in your own records.
1The foundation: structured, connected records
- Reliable operational records instead of scattered fragments
- Shared relationships: projects ↔ hours ↔ meetings ↔ customers ↔ assets
- Search across the whole workspace
- Role-based access so AI never exposes what a user cannot see
2Available today (beta): meeting intelligence
Shipping now in the Meetings module.
- Meeting transcription and structured drafts: summary, decisions, action points, risks and open questions (Meetings module, beta)
- Every generated item carries a source timestamp back to the recording
- Nothing is written into operational records without human approval
3Planned: cross-module insights
On the roadmap — labelled as planned until it ships. Examples of the signals this layer is being designed to surface:
- A project consuming more hours than comparable projects
- Action points that stay open across multiple meetings
- Hardware warranties nearing expiry
- Stock below configured minimums
- Customer follow-ups without an owner
- Repeated operational issues across projects
Our AI principles
- • Recommendations must link back to source records — no unverifiable claims.
- • People stay in control: AI drafts, humans approve consequential actions.
- • AI processing is configurable per organisation, including for meeting audio.
- • The AI layer is assistive, not autonomous — and we will say so plainly until that changes.