Your reps should be closing, not doing data entry
AI agents that research prospects, write outreach, update your CRM, record calls, and draft proposals. Your sales team focuses on conversations that close.
We're currently at capacity — spots open as projects wrap
It runs on the tools you already pay for
HubSpot, Salesforce, Pipedrive, Gmail, Slack, Twilio. We build on n8n, so the workflows are yours to open and read — not a black box you rent from us.
About four hours a day, per rep
Deal research, prospect qualification, call summaries, pipeline hygiene. Add up what your reps do between calls and that's roughly what goes away.
Follow-up happens the same day, every day
The AI catches the buying signal and fires the follow-up that afternoon, instead of whenever someone remembers to check the pipeline.
5 AI systems that run your sales ops
Each one handles a specific part of your pipeline. They plug into the CRM and email tools you already use, and they keep running whether or not anyone remembers to check on them.
Lead enrichment and deal scoring
We pull company and contact data on every prospect, then score how likely each deal is to close using your own closed-won history. Your reps work the top of the list instead of the whole list.
What changes
How it works
Import prospects → Enrich with company/contact data → AI scores deal probability → Rank by likelihood to close → Push top prospects to CRM
What you get
- Reps work the top of the list, not the whole list
- Dead-end prospects drop off before anyone calls them
- The scoring runs on your closed-won data, not a generic model
Sequences that write themselves
Each email gets written off the prospect's company and recent activity, not a merge field. When someone starts behaving like a buyer, the sequence stops and hands the thread to a rep.
What changes
How it works
Lead enters sequence → AI personalizes message based on company data → Smart timing based on prospect behavior → Escalate to rep when buying signals detected
What you get
- Every email is written off real company data
- It flags buying signals the same hour they happen
- The sequence stops the moment a rep should take over
Pipeline management and deal tracking
The agent scans your pipeline every morning, finds the deals that have gone quiet, and tells the rep what to do next based on how your won deals actually progressed.
What changes
How it works
Daily scan of pipeline → Identify stalled deals → Analyze successful deal patterns → Recommend next actions → Alert reps of at-risk opportunities
What you get
- Stalled deals get flagged before you notice them
- Every deal gets a health score off your own win history
- It tells the rep what to do next, not just what happened
Call recording and summary
Every sales call gets recorded, transcribed, and summarized. The summary and the next steps land on the deal record before the rep is back at their desk.
What changes
How it works
Twilio call webhook → transcription → AI writes the summary and the next steps → attach note to deal
What you get
- Every commitment and objection is on the record
- Buying signals get pulled out of the conversation
- The next step is written down before the rep forgets it
Proposal and quote generation
When a deal hits proposal stage, the agent fills your Google Docs template with the right pricing and terms, renders a PDF, and emails it to the prospect.
What changes
How it works
Deal hits proposal stage → template in Google Docs → AI fills the variables → PDF → email prospect
What you get
- Reps stop writing proposals at 9pm
- Pricing and terms stay consistent across every rep
- You can see when the prospect opened it
Four agents that run without a rep
Nobody has to start these. They call inbound leads back in five minutes, work the pipeline overnight, and flag the accounts that are ready to spend more.
Voice agent that calls inbound leads back
When a lead comes in, the agent calls them inside five minutes, asks about budget, authority, need and timing, and books the meeting if the answers check out.
How it works
Inbound lead lands → AI voice agent calls within 5 minutes → asks about budget, authority, need and timing → books the meeting for sales-ready prospects → writes the qualification notes to your CRM
Pipeline copilot that lives in your CRM
It reads every open deal each morning and tells your reps which five to touch today. It connects straight to your CRM, so it reads and writes deals directly instead of through a brittle sync.
How it works
Agent reads every open deal → spots the patterns that preceded your won deals → nurtures the warm ones → escalates the hot ones to a rep → suggests the next move on each
Upsell agent that watches your accounts
It watches how your customers actually use the product, spots the accounts that have outgrown their plan, and opens the expansion conversation before the renewal call.
How it works
Monitor customer usage → detect expansion signals like team growth or feature limits → AI opens a personalized upsell conversation → creates the opportunity in your CRM → hands off to the account manager
Buying-signal listener for Reddit and forums
It watches Reddit and the industry forums your buyers actually post in for people describing the problem you solve. When someone matches, it opens the deal in your CRM with the thread attached and drafts the first email.
How it works
Scan Reddit and industry forums for buying signals → AI checks the prospect is a real fit → creates the deal record with the thread attached → drafts outreach that names their specific problem
Want to see this running on your pipeline?
We'll look at your sales process and tell you which parts AI can actually handle. No pitch deck — just an honest conversation.