Take the admin off every sales call: have an AI agent research and qualify each inbound lead, send the first reply, write a brief before the call, draft the notes afterwards and fill in the CRM, while a person approves anything sensitive: AI agent prompt

Small sales teams lose hours per deal to research, notes and CRM updates, and inbound leads wait while reps catch up. In an October 2026 case study on its own blog, OpenRouter describes Rasp, the AI sales agent it runs for its five-person sales team. Rasp researches and qualifies each inbound lead, routes non-sales questions elsewhere, sends 93% of first-touch emails on its own (many within a minute), writes a brief before every call, drafts notes from the transcript and fills in most CRM fields, and it flags edge cases and anything sensitive to a person. The company says the work around one demo fell from about 103 minutes to 44, giving back about 600 hours a month, and that close rates rose 2.6 times over the same period, while noting pricing and market changes also played a part. It also says the agent costs about $30 a day, down from nearly $800 for two earlier agents. Follow-ups on quiet deals are still done by hand. These are the company's own figures. The prompt below runs the same steps with any AI assistant.

SalesInbound triage, call briefs and CRM notesintermediate

The prompt

Be my sales assistant for one inbound lead and one call. My business and what I sell: [one or two lines]. Who is a good fit: [company size, industry, budget, signals]. Who is not: [e.g. personal email addresses, support questions, students]. The lead: [paste the form submission or email]. 1) Research the lead from what I've pasted and anything I add: company, role, likely need. Say FIT, NOT A FIT or UNSURE with your reasons, and if it's a support or other non-sales question, say where it should go instead. 2) Draft a short first reply that answers their question and offers a call, in my voice: [paste one email I've sent that sounds like me]. 3) Write a one-page brief for the call: who they are, what they probably care about, 5 questions to ask, and likely objections. 4) After the call, when I paste the transcript or my notes, draft the call notes: needs, budget, decision makers, timeline, next steps with dates. 5) List the CRM fields to update with the values from the call, and mark anything not actually said as [CHECK] instead of guessing. Flag anything about pricing exceptions, contracts or legal terms for me. Don't send anything or change the CRM yourself; give me the drafts to approve.
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  1. Copy the prompt above.
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  3. Paste it into OpenRouter, Slack, HubSpot and review the answer before you use it.

Works with: OpenRouter, Slack, HubSpot, Salesforce, Gmail, ChatGPT, Claude

Real-world example: openrouter.ai/blog/case-studies/how-an-ai-sales-agent-saved-our-sales-

Featured in: ChatGPT prompts for business email, replies and follow-ups · AI prompts to summarize meetings, notes, documents and reports

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