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Case study · Clinora

Scaling B2B outreach: 8 clients in 14 days.

We helped Clinora, a medical CRM startup, transform their client acquisition. Moving from slow, painful manual research to a fully automated lead-gen engine, the team stopped doing data entry and started selling. The result: 1,400 leads contacted and the first 8 clients closed in just two weeks.

Automated B2B OutreachAI Lead Enrichment & ScoringLinkedIn Automation EcosystemAgentic Workflow Design
Scaling B2B outreach: 8 clients in 14 days.

01 The starting point

Clinora lived the classic shoemaker's-shoes paradox: they sold software to automate clinics, while their own sales process was completely manual and inefficient.

Their sales team faced three critical blockers:

  • A research bottleneckReps spent their days on Google and LinkedIn, copy-pasting data into spreadsheets by hand.
  • Wasted resourcesFinding, analyzing and writing to a single contact took over 20 minutes — capping productivity at about 10 new contacts per person per day and making scale impossible.
  • Follow-up chaosManual tracking made it hard to know who had replied and who hadn't, causing operational headaches and opportunities lost to simple disorganization.

02 The solution

Unlocking growth didn't require more hires — it required different infrastructure. We deployed our Outbound Engine, an agentic ecosystem designed for quality at volume.

The solution moved on three fronts:

Autonomous sourcing & enrichment

AI agents scan Google and LinkedIn around the clock to spot in-target clinics. Each agent doesn't just find a name: it browses the prospect's website, extracts contact data and verifies the fit with Clinora's offer, automatically discarding low-quality leads.

Human-in-the-loop outreach

Once a lead is qualified, the system drafts a hyper-personalized email based on the data it found. Clinora's reps just review and hit send — killing writer's block and cutting handling time from 20 minutes to a few seconds.

LinkedIn automation

In parallel, a LinkedIn flow sends connection requests to decision makers and, once accepted, starts a personalized message sequence. The process is 90% automated, leaving humans only the positive replies.

03 The results

The impact was immediate and measurable. Going from 10 to over 100 contacts handled per day changed the math of selling entirely.

In just two weeks of operation:

1,400+

leads handled

30

sales calls

8

new clients

100%

sales focus

The team went from doing data entry 8 hours a day to spending entire days in sales calls with interested prospects.

Key takeaway

The fatal mistake many B2B companies make today is using human intelligence for tasks AI does better, faster and at near-zero cost.

A salesperson's value isn't the ability to dig up emails on Google — it's the ability to build relationships and empathy during the negotiation. Delegating the hunt to AI agents and leaving the close to humans isn't just a technology choice: it's the only sustainable way to scale.