Public websiteCustomer conversation platform
DripTell brings WhatsApp, Instagram, Messenger, Telegram and web chat into one workspace, with shared ownership, customer context, automation and AI assistance.
You are viewing the compatibility version because this browser does not support the modern website presentation. This is the public DripTell website; no customer workspace or account data is shown.
Product
One workspace for every customer conversation and next action.
Product
One workspace for every customer conversation and next action.
Solutions
Start with the customer outcome your team is responsible for.
Solutions
Start with the customer outcome your team is responsible for.
Industries
See DripTell through the real conversations in your industry.
Industries
See DripTell through the real conversations in your industry.
DripTell brings knowledge, intent, lead context and human judgment into the same conversation instead of adding a separate bot layer.
An AI support agent should work from the information and actions your business has approved. A useful evaluation checks the boundary as well as the answer. When the knowledge is missing or a decision needs a person, the customer should have a clear next step instead of a confident guess.
For an illustrative demo, supply a test returns policy and ask about its deadline. Then ask for an exception the policy does not cover, and finally ask to speak to a person. Check the exact reply and handoff each time. Do not use real customer secrets in a sales demo.
| Test question | What a reviewer should check |
|---|---|
| A question covered by approved knowledge | The reply follows the supplied policy and does not invent extra terms. |
| A question the knowledge does not answer | The reply acknowledges the missing information and offers the configured next step. |
| A request for a human | Test the configured takeover rule and whether the next person receives the question and context. |
| A request to change an account or payment | Verify permission, identity checks and human approval requirements before enabling that action. |
A correct sample answer does not guarantee future accuracy. Repeat the evaluation after knowledge or workflow changes. Verify action permissions, supported channels and handoff behavior in your own configuration before rollout.
Give the AI approved product, policy and operating information. Replies remain grounded in the material your team maintains rather than generic internet language.
Workspace knowledge base
Intent-aware reply suggestions
Conversation memory and extracted context
{
"customer": "cus_8X29",
"channel": "whatsapp",
"intent": "sales",
"owner": "team_growth",
"next_action": "follow_up"
}Capture the need, budget, location, urgency and other fields while the customer is talking. Create or update the lead and make the next action visible.
Sales, support, billing and handoff intent
Lead creation and health scoring
Custom fields updated from real answers
The teammate sees what the customer asked, what the AI understood, what it already answered and why the conversation needs a person.
One customer record
Conversation and owner together
It is an AI agent that answers customer questions from approved business knowledge, captures useful details and escalates conversations when human judgment is needed.
Yes. AI agents can work within supported WhatsApp workflows while keeping the customer record, conversation history, automation state and human handoff visible.
The AI works inside the same inbox, CRM, channel, campaign and ownership model used by the team, rather than creating a separate bot conversation with disconnected context.
Bring the messages, rules and follow-up your team already uses. We will map the flow inside DripTell.