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Lead & Sales

LeadOS

Research, enrich, and score B2B prospects automatically.

Setup

from $599

Subscription

from $149/mo

Deploy time

3-5 days

Problem

Sales teams spend hours building lists manually, copying data between tools, and still can't tell which leads are warm before the first email. Routing is guesswork, and managers have no visibility into why the pipeline looks thin.

What it does

The system starts from a target account list, keyword set, or ICP filter. It queries enrichment sources (Apollo, Hunter, LinkedIn signals), pulls company size, tech stack, and key contacts, scores each account on fit and recency signals, creates CRM records with enriched fields pre-filled, and notifies the assigned sales owner when a high-score account is ready for outreach.

Best for

B2B services, agencies, SaaS, consulting teams

Setup scope

ICP definition mapping, enrichment source connection, scoring rule configuration, CRM field mapping, deduplication logic, and end-to-end pipeline test with 20–50 sample accounts.

Monthly support

Enrichment source health checks, scoring threshold review, CRM field validation, and output quality sampling to catch enrichment drift.

Expected outcomes

Reduce manual prospecting hours per rep per week
Standardize fit scoring across every new lead
Keep CRM populated with qualified opportunities without manual entry

Payback signal

1-3 recovered deals

Typical break-even target for a first deployment conversation.

ROI lens

This system is designed to pay back when it reduces lost leads and weak follow-up enough to protect about $447 in monthly value.

Monthly value target

$447

Primary lever

lost leads and weak follow-up

Deployment model

Manual setup + monitored subscription

Implementation exampleB2B sales team

Before

  • SDR spends 2–3 hours manually researching each prospect
  • Contact data is incomplete or outdated 40% of the time
  • No consistent scoring — gut feel drives qualification decisions
  • CRM is empty or filled with unqualified, stale records
  • Pipeline looks busy but forecast accuracy is low

After FlowOps

  • Prospects found, enriched, and scored from defined criteria in minutes
  • CRM records created with company, contact, title, and fit score
  • Owner receives a Telegram notification with top 10 prospects
  • Sales team works qualified outreach lists instead of building them
  • Pipeline reflects actual qualified opportunity count

Signal — A 3-person sales team typically recovers 8–12 hours of manual research time per week.