Terlo

AI moved fast. Workforce training didn't catch up, and nobody can currently see who's using AI carelessly, inconsistently, or not at all.

Terlo closes that gap with a continuous, automated cycle rather than a one-off course. It senses how your people actually use AI in the flow of their day-to-day work, across chat assistants, coding tools and copilots, with no new app to install. That usage is scored against a live competency model, turning real behaviour into an explainable, audit-ready record instead of a policy document nobody can point to. From there, Terlo automatically builds each person a training pathway matched to their actual gaps, delivers it natively, and re-scores the moment it's done, so the picture never goes stale.

The result: training spend stops going to people who don't need it, the people quietly taking risks get flagged and supported, and your organisation ends up with a defensible, per-person and per-team evidence trail: the kind of proof regulators, auditors and insurers now expect, not a completion spreadsheet.

Terlo is built for organisations that need AI competency to be real: evidenceable, targeted, and framed as enablement for the people doing the work, not surveillance.

Deployment is single-tenant, deployable into your chosen cloud region, and designed to meet standards like OWASP, ASVS and Cyber Essentials Plus.