Connecting a chat assistant to your CRM and ERP: one contract, many systems
How Kav is being built to answer deal, case and invoice questions from your CRM or ERP through common contracts. The contracts exist; vendor connectors are planned.
How to build an AI assistant people can trust.
How Kav is being built to answer deal, case and invoice questions from your CRM or ERP through common contracts. The contracts exist; vendor connectors are planned.
Yes — WhatsApp is live on Kav, alongside the website widget and Telegram. A new organization connects its own WhatsApp Business number; Meta approves that account.
The widget and Studio are built to WCAG 2.2 AA and IS 5568, checked by an automated gate in CI — here is what that gate covers and what it can't prove.
Live today: the website widget, Telegram and WhatsApp. Messenger, Instagram, SMS and voice are not live yet. Here is every channel's status.
Kav's own assistant answers in Hebrew, Arabic, Russian and English. The platform also supports Amharic; each organization switches on the languages it chooses.
From a message arriving to an answer on screen, the same fourteen checks run every time — never a guess the model made alone.
When an answer is genuinely tabular, Kav renders a real HTML table a screen reader can navigate — never a wall of numbers in a sentence.
One rule runs through every layer of Kav: when something can't be evaluated cleanly, it denies — never guesses yes.
MCP names a real problem: how a model calls real systems. Here's the mechanism Kav actually runs to solve it — compiled fresh, never a tool server you deploy.
A capability has three separate faces, and only one of them is different for every organization that installs it.
Past four results, Kav's widget turns a card list into a swipeable rail on its own, with no auto-advance, so it can't fail the rule a carousel usually breaks.
Four guarantees a prompt bolted onto your website can't make — and why each one is a real constraint Kav is built around, not a feature to point at.
Point at your API, map what it returns, tell the AI when to use it, publish. The whole build is Studio configuration — nothing to deploy.
When every channel gets its own inbox, residents wait in the wrong one. Here's how Kav's agent desk queues conversations by department, not by the app they came from.