Give the agent your ideal customer
We encode your qualification criteria — industry, size, stack, signals — as rules the agent can apply, and connect it to your CRM and the public sources it may read. From there it works a list: research each account, score fit, note the evidence, and write the reason this company should hear from you now.
Example brief
We sell to operations leads at mid-sized logistics companies. Every morning we want a short list of new accounts that fit, why they fit, and a draft first email for each that sounds like our founder wrote it.
Draft in your voice, never send alone
The agent learns from your best-performing messages and drafts outreach that matches them in length, tone, and structure. Drafts land in a review queue with the research attached. A rep approves, edits, or discards each one in seconds, and the CRM is updated automatically with what happened.
Qualify inbound while you sleep
The same agent triages inbound forms and replies: it enriches the contact, checks fit against your criteria, answers simple questions, and books qualified meetings on the right calendar. Unqualified leads get a polite, useful reply and a tag so nobody spends time on them twice.
Example requests
Daily account list with fit score and evidence
First-touch email and DM drafts in your voice
Inbound lead enrichment, scoring, and routing
Meeting booking with the right rep's calendar
CRM hygiene: notes, stages, and next steps kept current
Related
Nearby use cases
Deploy a support agent that resolves tickets
An AI agent that answers the questions your team answers every day — order status, returns, how-to — and hands off cleanly when a human is needed. Live on your help desk in about a week.
Run lifecycle email and SMS that pays for itself
Welcome, browse, cart, post-purchase, and win-back flows built on your data and tuned every month. The owned channel that keeps working when ad costs rise.
Research a market before you build for it
A grounded read on the market, the competitors, and the customers before money goes into a product. Interviews, public data, and what people actually say, condensed into a decision.
Try it on your own work.
Tell us the job. We scope it, price it, and ship the first sprint.