Full-picture analysis
One customer question can pull in the relevant account, plan, event history, docs, and previous conversations.
Crisp Chat AI
Crisp Chat AI is grounded in your customer identity model, so every answer can use the right account, plan, product behavior, and policy context.
Active account
Prompt
Write a reply that explains the Growth plan using this account context.
Maya, your team can move to Growth without losing workspace rules. Growth raises seat capacity and keeps your current onboarding setup.
Evidence
Next action
Escalation
Made for teams bringing AI into support
One customer question can pull in the relevant account, plan, event history, docs, and previous conversations.
Crisp Chat AI structures drafts with concise answer text, evidence, recommended next action, and escalation notes.
Turn any customer exchange into a support summary, product report, success handoff, or sales follow-up.
The Crisp Chat agent finds the account, reads the conversation, checks recent product behavior, and synthesizes an answer that fits the customer moment.
The result is a draft that explains what happened, what to say, and which customer outcome the team should protect.
Use relevant account traits, lifecycle stage, product behavior, support history, and internal notes in one generated answer.
Get a concise answer, recommended next action, escalation note, and links to the evidence behind the recommendation.
Work with Crisp Chat AI inside the inbox, visitor queue, reports, Slack handoffs, and account profile views.
Active account
Prompt
Ask one question and get a complete support picture
Maya, your team can move to Growth without losing workspace rules. Growth raises seat capacity and keeps your current onboarding setup.
Evidence
Next action
Escalation
Crisp Chat AI avoids black-box support by showing the facts, logic, and limits behind every suggested response.
When a customer question is ambiguous, the agent asks for clarification instead of inventing policy or account details.
No matter how a teammate asks, the answer is built on the same account fields and support rules the company agreed on.
See the customer traits, product events, help articles, and logic used to create the support draft.
If a question could mean multiple things, Crisp Chat AI asks which path to follow before writing the answer.
Active account
allow ai.draft
when user.role in ["support", "success"]
and account.privateRevenue == hidden
and signedIdentity == trueReview
Answers your team can inspect before sending
Custom agents, internal tools, and LLM applications can use Crisp Chat identity through API or MCP so downstream workflows do not rebuild customer logic.
Your support AI, product agents, success workflows, and internal tools can work from the same governed customer context.
Use the same user, account, plan, permission, and event definitions in every downstream workflow.
Query the customer model and support history through clear APIs while respecting access controls.
Works with ChatGPT, Claude, Slack, internal admin tools, and agent frameworks of your choice.
Active account
Policy check
Power every agent in your support system
Crisp Chat is built around controlled AI usage, explicit identity, and minimal exposure of sensitive account data.
AI gets the context it needs to help, not an uncontrolled dump of customer records.
Customer data is not used to train, fine-tune, or improve third-party AI models.
The AI assistant only receives customer context the requesting user is allowed to access.
Only the evidence needed for the question is shared with the model, and sensitive traits can be excluded.
Active account
allow ai.draft
when user.role in ["support", "success"]
and account.privateRevenue == hidden
and signedIdentity == trueReview
Safeguarding your customer data
How teams use it
Crisp Chat AI does not try to replace judgment. It makes the first draft faster, the evidence easier to inspect, and the handoff cleaner when a customer issue needs another team.
Ask for customer context from the inbox, account profile, Slack handoff, or internal tooling surface.
Turn conversations into product feedback, escalation notes, renewal summaries, and support health reports.
Bring account-aware answers into the channels where support, success, and product teams already collaborate.
Use modular interfaces, API access, and clear security boundaries to integrate Crisp Chat AI into your stack.
Connect Crisp Chat to your product, identify your users, and let AI draft answers that respect the customer context your team trusts.