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Multi-tool · Agent-driven

Prospecting Orchestration

Automates account research, pain-point analysis, personalized outreach, discovery planning, and objection handling at scale. The AE reviews and sends instead of researching and drafting.

See the demo
~70% Time saved per lead

From prospect identification to a complete outreach-ready brief with personalized emails, discovery questions, and objection responses.

Context

The problem this solves

Before

Manual research eats half the selling time

An AE spends 30-45 minutes per prospect on manual research: LinkedIn stalking, company news, annual reports, industry context. Then they draft an email that sounds like every other templated outreach. The personalization is shallow because the research was shallow. Multiply by 20 prospects a week and prospecting consumes half the selling time.

After

Deep research and genuine personalization, automated

The agent orchestrates across multiple tools and data sources to build a complete prospect profile, map pain points to your product's value props, draft genuinely personalized outreach, prepare discovery questions, and pre-build objection responses. The AE reviews and sends instead of researching and drafting.

Demo

See it in action

A walkthrough of the full orchestration, from prospect input to a complete outreach-ready brief.

Demo video coming soon
Process

How it works

Five stages, one orchestrated run.

01
🔍

Account Research

Automated company intel, news, financials, and org chart pulled from multiple data sources.

02
🎯

Pain-Point Mapping

Matches the prospect's likely problems to your product capabilities and value propositions.

03
✉️

Personalized Outreach

Multi-touch email sequence with genuine personalization grounded in the research, not templates.

04
💬

Discovery Prep

Tailored discovery questions based on the account research, designed to surface real pain.

05
🛡️

Objection Handling

Pre-built responses to likely pushback, grounded in the prospect's specific context and concerns.

Output

What the output looks like

Sample screenshots from actual orchestration runs.

Results

What it changed

Measured outcomes from production use. Treat as directional.

~70% Time saved per lead

Minutes instead of 30-45 minutes of manual research and drafting per prospect

5x Depth of personalization

Research-grounded outreach vs. shallow template-based personalization

5 Deliverables per prospect

Account research, pain mapping, outreach sequence, discovery prep, and objection handling

Interested?

Ask me to walk you through it

I can run a live demo on a real prospect. If you're curious how this maps to your prospecting workflow, let's talk.