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Illustrative Case Study — not an actual client

Lead intake & routing, from six manual hours a day to zero.

This is a detailed, hypothetical walkthrough built from a common pattern we see in D2C and service businesses — used here to show exactly how we'd scope, design, and build a project like this. It is not a real client engagement.

Before

6 hrs/day

Manual lead sorting and CRM entry

After

~15 min/day

Review of flagged exceptions only

Timeline

12 working days

Audit to live system

The problem

Leads were coming in faster than they could be sorted.

Leads arrived from a web form, a Facebook ad integration, and a partner referral spreadsheet. Every morning, an ops coordinator manually copied new entries into the CRM, checked for duplicates, tried to gauge which leads looked "serious," and assigned them to reps in a shared spreadsheet — a process taking roughly six hours a day and prone to leads sitting untouched over weekends.

Discovery & audit

Mapping where time was actually going.

What we'd map

  • Every lead source and its data format
  • Manual decision points (what makes a lead "serious"?)
  • Where duplicates and errors were creeping in
  • Current CRM fields and required routing logic

What we'd flag

  • Duplicate-checking was the single biggest time sink
  • "Serious lead" judgment was actually a repeatable pattern, not intuition
  • Weekend leads had a 40% higher drop-off before first contact
The build

What the automated pipeline looks like.

1 Capture: form / ad webhook / sheet row-added trigger
2 Dedupe: match against existing CRM contacts
3 Enrich: company size, source, past interactions
4 AI Agent: scores lead quality against defined criteria
5 Route: high-quality → rep by territory; unclear → human review queue
6 Notify: Slack alert + CRM task created automatically

A build like this typically runs on n8n, Make or Zapier, with an AI agent handling the qualification step.

The AI agent's job isn't to replace judgment — it's to apply the ops coordinator's existing judgment consistently, 24/7, and flag genuinely ambiguous cases for a human instead of guessing. Every decision it makes is logged, so the rule set can be refined over time.

Result (illustrative target)

What success would look like.

~5.75 hrs/day recovered

Ops coordinator shifts to strategic work

0 missed weekend leads

Routing runs continuously, not just business hours

Full audit trail

Every routing decision logged for review

Note: figures above illustrate the kind of outcome this pattern of automation is designed to produce, based on typical time studies for this type of manual process — not measured results from a completed project. We'll replace this note with real, verified numbers as soon as we have a completed engagement to report on.

Want this for your process?

Let's map your lead flow and see what's automatable.

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