Not a canned chatbot — an autonomous agent that answers from your knowledge, takes real actions (book, quote, create a ticket), and hands off to a human the moment it should. Every reply governed, every action audited.
Answers, acts and escalates — inside one governed agent.
Grounded in your KB & site — no hallucinated promises.
Books meetings, builds quotes, opens tickets, captures leads.
Live visitor list with the page they’re on, so the agent opens with context.
Hands off to a human with full context the moment it should.
A visitor lands, the agent engages, and the conversation ends as a booked call, a CRM lead or a ticket. No copy-paste, no dropped enquiries.
The widget appears on your site. The agent sees the live visitor and the page they’re on — so it can open with context, not a generic greeting.
Replies are grounded in your knowledge base and site content — it answers what you actually offer rather than inventing promises.
Within the actions you allow, it books a meeting, builds a quote, captures a lead or opens a ticket — right there in the conversation.
When a question needs a person, it escalates with the full transcript and context, so your team picks up mid-thought — never from scratch.
Every chat finishes as a governed record — a CRM lead or a ticket — with the whole exchange logged to a tamper-evident audit trail.
The agent operates on tokenised data, stays inside the actions you allow, and logs every step to a tamper-evident ledger. Set guardrails once; the kill-switch is always one click away.
How SCRS works →It can only do what you allow — booking, quoting, ticketing.
Visitor PII is masked before the model; rehydrated only for agents.
Every message & action recorded and reversible.
Strangers type anything into a chat box — emails, phone numbers, even card details. SCRS handles that data the same patent-pending way it handles the rest of your workspace.
Before any message is sent to a third-party model, sensitive details are tokenised. The model reasons over Henderson→client_4821 — your team sees the real visitor. Reversible by design.
The agent only performs the actions you switch on, on data it’s allowed to touch. When someone leaves your team, the SCRS leaver kill-switch revokes their access to the records behind those conversations — logically, in one step.
The transcript doesn’t vanish when the visitor closes the tab. It writes straight into the same governed data the rest of your workspace runs on — no integrations to wire.
A sales-shaped conversation lands in the CRM as a lead, with the full thread attached — ready to convert into a deal, quote or invoice.
Explore CRM →A support-shaped conversation becomes a ticket in the shared inbox, with SLAs, the knowledge base and AI auto-resolve already in place.
Explore Ticketing →When no one’s around, the agent collects the enquiry and contact details so it’s waiting as a lead when you’re back — no after-hours visitor lost.
Booking via Flows →Most website chat widgets reply and stop. Live Chat reasons, acts and records — safely.
| Typical website chatbot | Other Me Live Chat | |
|---|---|---|
| Answers from your content | Scripted flows or generic LLM | Grounded in your KB & site |
| Takes real actions | Hands off a form at best | Books, quotes, ticketing, lead capture |
| Sees the live visitor | Usually not | Live list with the visitor’s current page |
| Human handoff with context | Starts the agent from scratch | Full transcript carried across |
| Visitor PII protection | Raw text sent to the model | Tokenised before the LLM, fail-closed |
| Writes to your records | Export or copy-paste | CRM lead or ticket, same governed data |
| Audit & reversibility | Limited logs | Tamper-evident trail, reversible actions |
Patent-pending SCRS firewall (UK App 2602911.6). UK/EU data residency. No client data used to train models.
Chat hands off cleanly to Ticketing, books through Flows, and writes back to the CRM — same governed data, no integrations to wire.
