The answer
Pebble isn't a chatbot with governance bolted on. Every layer — from where the models run to how each answer is logged — is built so a regulated organisation can adopt AI once and scale it to every team.
Deploy in your own cloud, on-prem, or air-gapped. Enterprise context is captured and retained centrally — never scattered across laptops or leaked to a frontier lab.
Route every task to the best model and fail over automatically. No vendor lock-in, no single point of failure for the business.
Every response honours the access each person already holds. The model can only ever draw on what the user is entitled to see.
Full logging, audit trails, and citations on every answer — so AI use has the same oversight as email, SaaS, and the internet.
Provision capability, control model access, and distribute tailored shortcuts and LiveApps to each team from one place.
PebbleObserve attributes every dollar and token to a user, key, and use case — so spend is accountable and ROI is demonstrable.
The result: you go from a first pilot to an enterprise-wide rollout on one platform — no re-architecting, no shadow AI, and no loss of control as usage grows.
How we deliver AI
AI adoption stalls when people are handed too much at once. Pebble layers capability deliberately — each tier builds on the one before, so complexity appears only when a team needs it.
The doorway — but a blank box can intimidate. Subtle shortcuts sit alongside the input, giving every user an obvious place to start and the confidence to keep going.
One-click actions for saved prompts, skills, and integrations. The business defines them and distributes tailored sets to each team.
Purpose-built interfaces for a specific outcome, launched straight from a shortcut — guided flows that hide the prompt behind a clean UI.