How TechFlow Solutions automated lead qualification with AI, cut cost-per-lead by 86%, and hit 340% ROI in just 3 months.
340%
ROI in 3 Months
3.75×
More Leads Qualified
86%
Lower Cost-Per-Lead
18 hrs
Saved Every Week
TechFlow Solutions is a B2B SaaS startup offering a project-management platform aimed at mid-market construction and field-services companies. With a growing inbound pipeline fuelled by content marketing and paid ads, the sales team was spending more time triaging leads than actually selling.
At 40–50 inbound requests per month, manual screening was already painful. With a growth target of 150+ leads per month, the process was about to break entirely.
TechFlow Solutions (sample)
B2B SaaS
22 employees
AI Lead Qualification Agent
2 weeks build · Live in week 3
HubSpot CRM · Slack · Gmail
TechFlow's two Sales Development Representatives (SDRs) were spending 10 hours each per week — 20 hours total — manually screening inbound leads. Each lead required:
20 hrs/wk
wasted on manual lead triage
22%
lead-to-meeting conversion rate
$85
cost per qualified lead
"We had good inbound traffic but our SDRs were buried in admin. Half their day was just sorting through leads — and we were still missing good ones or calling bad fits."
AutomateIQ built a custom AI lead-qualification agent that integrates directly with TechFlow's existing HubSpot CRM and Typeform lead-capture forms. Every new inbound lead is evaluated automatically — no human required for routine scoring.
Every form submission triggers the agent. It pulls company data from Clearbit, verifies LinkedIn job title, and cross-checks industry against TechFlow's ICP definition — in under 3 seconds.
The AI scores each lead 0–100 on six dimensions: industry fit, company size, budget signals, decision-maker authority, urgency, and tech stack match. Grade A/B leads are auto-routed to the SDR queue in HubSpot with a priority flag.
A personalised first-touch email is drafted — mentioning the prospect's specific industry pain points — and saved as a HubSpot email draft. A Slack message alerts the assigned SDR with the lead score and a one-line summary.
Tech stack used in this build:
40
Before
150+
After
+275% increase
22%
Before
34%
After
+55% improvement
20 hrs/wk
Before
2 hrs/wk
After
18 hrs saved weekly
$85
Before
$12
After
86% cost reduction
2 weeks
build · live in week 3
No engineering team required
340%
Monthly savings: ~$3,800
Annual projection: $45,600
"We went from screening 40 leads/month manually to 150+ qualified leads. The AI catches nuances our team would miss — like spotting a VP-level title buried in a company description. It's like hiring 3 full-time salespeople for 1/10th the cost."
Sarah Chen
VP Sales, TechFlow Solutions
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