Your model, your key
Point Kalagh at the provider you already use — or at a model running on your own hardware. Nothing here is wired to a single vendor, and your customers’ conversations are never used to train anyone’s model.
Twelve kinds of provider
Hosted or self-hosted, every feature works the same way — because the platform talks to a model, not to a company.
AI where it helps, off where it does not
You decide which provider answers, what it is allowed to do, and how much it may spend doing it.
Your key, under your control
Paste a key, test it, list the models it can reach and choose a default. Keys are stored encrypted.
- Test the key and list the models it can reach
- Keys encrypted at rest
- A default model per organisation
A budget you set
A monthly token budget and a per-conversation cap, with a usage view so nobody has to guess what it cost.
- A monthly token budget
- A per-conversation cap
- Usage you can actually look at
An AI agent inside a playbook
Drop an agent into a conversational flow and choose exactly which tools it is allowed to use.
- Tools you pick: tags, contact fields and variables
- Search messages, read the contact, call a sub-playbook
- A simpler AI auto-reply, when a whole agent is too much
A human is always reachable
A keyword is matched before the model ever sees the message, and the model can ask for a human itself. Either way the team is told.
- Keyword handoff, checked before the model runs
- The model can hand off on its own
- A fallback path when a provider is down or the budget is spent
- A full trace: the prompt, the answer and the tokens
Privacy, stated plainly
The three things people ask before they turn any of this on.
Never used for training
Your customers’ conversations are not used to train models — not ours, not anybody else’s.
Self-hosting is a first-class path
An open-source model on your own hardware is a supported choice, not a workaround for one.
Every run can be explained
The prompt, the answer and the token count are kept with the run, so an odd reply is something you can look into.
Add AI on your own terms
Bring a key or a self-hosted model, set a budget, and keep the handoff to a human.