From raw buying signals to a personalized cold email, without a salesperson lifting a finger

Cold outreach is broken. Most sales teams send the same generic email to hundreds of prospects and wonder why reply rates sit under 2%. The problem isn't the channel - it's the lack of context. Companies leave digital footprints everywhere: they're hiring for certain roles, expanding to new markets, replacing legacy software, or announcing mergers. These are buying signals. The question is who's actually acting on them.

The Problem We Were Solving

We were running outreach for a B2B consulting engagement with no system for knowing which companies were likely to buy right now, matching the right service pitch to the right signal, or generating follow-up emails that genuinely referenced previous conversations. What existed was a spreadsheet, a generic email template, and gut instinct. We built the infrastructure that was missing instead of working around it.

What It Is

Intelligent Outreach is a multi-tenant web application that covers the full top-of-funnel sales motion: it monitors companies for buying signals, scores them by purchase intent, matches them to the right service offering, and generates a personalized AI email - all without a salesperson lifting a finger.

Company Intelligence

Upload a list of target companies and the app automatically enriches each one - tech stack data, news signals, hiring patterns, and firmographic details - then assigns every company an intent score from 0 to 100.

Signal Detection

The system detects signal types like M&A activity, ERP implementations, expansion announcements, fundraising rounds, and leadership changes. These aren't vanity metrics tracked for their own sake - they map directly to buying triggers a sales team can act on.

Service Matching, Without AI Guesswork

This is where it gets interesting. A Knowledge Base holds your company's verticals, services, Ideal Customer Profiles, and tone of voice. A deterministic scoring engine maps detected signals to the right service offering using fixed rules, not a language model's best guess:

• +3 points per matching signal type
• +3 points per matching tech trigger
• +2 points per matching industry
• A minimum threshold of 2 points to qualify a match

No AI hallucination in the matching step - it's fast, auditable, and predictable. The AI only gets involved once a match is already decided.

AI Email Generation

Once the right service is matched, the app hands the context to an AI model - Gemini, Claude, or OpenAI, configurable per workspace - which writes the cold email using your company's credibility statement and service description, the target company's signals, tech stack, and industry, your brand's tone of voice rules, the sender's personal writing style, and the funnel stage to determine the right angle.

Multi-Touch Sequences

Outreach runs as proper sequences, not one-off sends. Each follow-up genuinely references the prior email - not just the subject line, but the full conversation thread stored per company - so touch two actually knows what touch one said.

Funnel Stage Logic

Based on intent score, every prospect gets classified into Top of Funnel (awareness), Middle of Funnel (consideration), or Bottom of Funnel (decision), and the email strategy adjusts accordingly:

• Top of Funnel - insight-led messaging, a lead magnet offer, low-commitment CTA
• Middle of Funnel - a tool or assessment offer, an entry door, a case study
• Bottom of Funnel - a direct pitch, an ROI case, a strong CTA

Get in touch if you'd like to see how it scores and works a real account.