Qualify leads, prepare account briefs, generate follow-up tasks, classify tickets and detect SLA risks — so customer work moves faster and nothing falls through.
Inbound interest goes unqualified and unanswered.
Account history is scattered, so every call starts cold.
Tickets breach service levels before anyone notices.
Customer-facing work — sales and support — runs with context, follow-up and SLA awareness.
Inbound leads captured and qualified against your criteria.
Account briefs prepared from history and external data.
Next steps generated so nothing is forgotten.
Support tickets classified and routed.
At-risk tickets surfaced before they breach.
Answers drafted from your knowledge base.
A short demo: the agent runs a real process inside d8n — from request to result.
A request is received, prioritised by hand, a solution is searched for and a reply sent — the average first response takes over 6 hours, and complex cases escalate for hours more. Leads are the same: the average reply takes around 42 hours, while a 5-minute window sharply raises the chance of qualifying.
The Support agent instantly detects the topic, sentiment and language of a request, answers routine questions itself (41–70% resolved with no human), and hands complex ones to an operator with ready context. For leads — an instant reply inside the 5-minute window.
Agent data sources: Helpdesk / ticketing system, CRM, knowledge base / FAQ, AI agent (LLM + RAG over the knowledge base), intent and sentiment classifier, routing and escalation, lead routing.
Benchmark sources: Twig — FRT >6 h → <4 min · eesel AI — 41.2% median deflection · MIT/InsideSales — Lead Response (5 min = ×21)
Sales and support are served by different agents: a lead gets an instant reply, a routine request is resolved with no human, a complex one goes to an operator with context, and the manager sees SLAs automatically.
As soon as an enquiry arrives, the Sales agent researches the company and contact, enriches the data from the CRM and external sources, assesses the potential and prepares a brief for the manager. The instant reply lands inside the 5-minute window that sharply raises the chance of qualifying.
The Support agent instantly detects the topic, tone and language of a request, finds the answer in the knowledge base (RAG) and resolves routine questions itself — 41–70% of tickets close with no human. The reply takes seconds instead of hours.
If a question is non-standard or sensitive, the agent hands it to an operator with ready context: the customer's history, the issue, the materials found and a proposed solution. The operator doesn't re-gather context and replies faster.
The agent compiles reports on response time, the share resolved by AI, SLA breaches and pipeline health — shows them in chat on request or sends them to managers automatically on a schedule.
A new lead or support request arrives.
The agent gathers history and prepares a brief.
It’s routed with follow-up tasks generated.
Service levels are watched and outcomes logged.
AI agent: The Sales agent qualifies leads and briefs accounts; the Support agent classifies tickets and watches SLAs.
These agents are rolling out next; the underlying CRM and ITSM processes and the rest of the platform are available today.
Yes — d8n integrates with your existing tools, or runs the processes natively.
At-risk tickets are surfaced before they breach, with escalation.
Inside your perimeter, permission-aware and audited.
See lead qualification, account briefs and SLA-aware support in one place
