The Challenge
A manual process
that could not scale.
The client’s go-to-market motion is relationship-driven B2B outreach: identify the right decision-maker, introduce the value proposition, move toward a partnership. Every step of that process was being done by hand.
Scaling meant hiring. Not the right move for a lean early-stage operation. The right move was building infrastructure to make one person as effective as a team.
Discovery was manual and slow. Finding target contacts required searching multiple directories with no shared data between them.
Contact data was incomplete. A name without an email, or a company without a decision-maker, is not actionable.
Leads piled up with no structure. There was no way to distinguish a hot lead from a dead one, or know what the next action was.
Outreach did not scale manually. Writing individual emails and tracking replies competed with every other business task.
Reply handling created a bottleneck. Reading a reply, deciding how to respond, and doing so promptly is another layer of manual work.
How It Works
Eight steps.
Fully automated.
From plain-English brief to reply-ready pipeline. Every step of the outreach process is handled by the platform.
Discover
Plain-English Brief to Targeted Search
The user writes a plain-English description of the target. The platform interprets the request, identifies the target role, geography, and intent, then generates a set of optimized search queries automatically.
Scrape
Six Sources, One Pipeline
The platform runs across six purpose-built discovery sources simultaneously: government registries, corporate filings, business directories, professional networks, and email discovery. Results are pushed to the database in real time as each source completes. Discovery runs as a background job, independent of the interface.
Enrich
Contact Depth on Every Lead
Verified contact data is resolved for every lead that comes in incomplete. Company domains are resolved first, then used to find direct email addresses. The result is a contact record with the highest-confidence data available from multiple independent sources.
Score
Automated 0–10 Lead Scoring
Every lead is scored across contact completeness, source quality, seniority, and enrichment depth. Score 8+ is campaign-ready. Hard penalties applied for contacts outside the defined target profile.
Qualify
One-Click CRM Promotion
Leads scoring 8+ with a verified email, name, and title auto-promote to the CRM after each job. The user can review the leads table (filtered, sortable, scored) and manually promote or disqualify. Name and title are required gates; leads without both cannot qualify.
CRM Pipeline
Kanban by Campaign
Promoted leads enter a Kanban pipeline: New → Contacted → Interested → Proposal Sent → Closed Won / Closed Lost. Leads are grouped by Campaign, each mapped to an active outreach sequence. Tasks, appointments, and activity logs are tracked per contact.
Outreach
Automated Email Sequences
From the CRM, leads are pushed to the outreach platform with a single action. The Email Builder generates branded, deliverability-optimized HTML emails. When a lead is pushed, the outreach sequence starts automatically on a scheduled send cadence.
Reply Handling
AI Intent Classification + Draft
When a reply arrives, the platform automatically classifies the intent: interested, wants_to_schedule, needs_more_info, not_interested, out_of_office, or neutral. Each intent triggers a different pipeline action and an AI-drafted response for human review before sending.
How We Think About It
Built to be auditable,
not magical.
AI is used specifically where natural language judgment is needed: reading a target description, classifying a reply, drafting a context-aware response. The rest of the workflow is deterministic logic. Fast, predictable, auditable.
Modular discovery
Each discovery source is an isolated module. They all push to the same pipeline, so adding a new source means building one module, not rebuilding the system. The platform currently runs six sources simultaneously.
Approval-gated access
New user signups go to a pending screen until an admin approves them. The platform is invite-only without complex provisioning tooling. Every action is logged with user and timestamp.
CRM and outreach are decoupled
Internal campaigns are CRM grouping mechanisms. The outreach sequence is created automatically when leads are pushed, using the saved email template. One-way mapping, no tight coupling between systems.
Human in the loop
All AI-drafted responses land in a review queue before they go out. The human has final say on every outgoing message. This eliminates the blank-page problem without removing human judgment.
Current Status
Live in production.
First run: 564 leads.
The platform completed its first production run with 564 qualified contacts across the target geography, sourced from six live data sources. Email infrastructure is authenticated and warmed.
What This Demonstrates
A Series A build,
delivered in 30 days.
Intel-Ventures designed and shipped a production-grade AI outreach platform in under 30 days, replacing an entirely manual process with an end-to-end automated pipeline.
The system is multi-source (six data sources, deduplicated in real time), AI-native at every natural language touchpoint, and production-hardened with the security, access controls, and audit logging expected of enterprise software.
This is the kind of system that a Series A startup would typically spend six months and $150K+ building with a three-person engineering team. This was built as a first client deployment.
Build With Us
Have a similar
problem to solve?
If your go-to-market motion runs on manual effort and scattered tools, we can build the infrastructure that replaces it. Every engagement starts with a conversation about the workflow.