Can LizziAI answer questions about specific clients in real time?
Yes. LizziAI answers natural-language questions about any client in your system in real time, pulling from conversation history, project records, invoices, meeting notes, and your knowledge base in a single query. Response time is typically under three seconds.
The kinds of questions it handles
- "What did we discuss with Sarah Chen last month and what's still open?"
- "Show me every client whose invoice is more than 30 days overdue"
- "Has the Henderson account ever asked about our refund policy?"
- "Which clients haven't heard from us in over 60 days?"
- "Pull up everything we know about the Anderson project, including the original proposal and current scope changes"
- "What's the average response time we've given to support tickets from enterprise clients this quarter?"
How it actually works
- Semantic search across your tenant's data using embeddings, not keyword matching
- Cross-record reasoning: stitches together emails, tasks, invoices, and notes into one answer
- Source citations: every claim links back to the source record so you can verify
- Permission-aware: respects your role-based access; team members only see clients they have permission to see
Where you can ask
LizziAI is available everywhere in the platform: a global search bar, a chat sidebar in the inbox, a slash command in any text field, and a mobile shortcut for quick lookups on the go. It also surfaces context proactively; opening a client record shows an auto-generated brief at the top.
What about real-time external lookups
LizziAI can also pull from connected integrations in real time: Stripe payment status, Calendly availability, Google Calendar conflicts, Slack channel summaries. So a question like "is this client paid up and when's our next call?" returns a complete answer in one shot.
Privacy isolation
Multi-tenant memory means LizziAI cannot see another customer's data, period. Your client records train your LizziAI; nothing leaks across tenant boundaries. Start your private beta trial and try a real client query during the onboarding session.
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