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Workflow · Lead Capture

Qualify every lead the same way — and route the best ones first

When qualification depends on who happens to answer, “qualified” stops meaning anything. This workflow asks your questions consistently, scores fit, and sends the right leads to the right person with a brief attached.

Consistent questions Scored & routed Rep brief included
★★★★★ 4.9/5 rating 1,200+ reviews 8+ years 500+ clients
The problem it solves

Inconsistent qualification wastes the best hours of the day

Reps spend prime selling time on leads who were never going to buy, while genuinely ready leads sit in a shared inbox waiting. The fix is not more questions — it is the same questions, every time.

  • Two reps qualify the same lead two different ways.
  • High-value enquiries are answered after low-value ones because the list is in arrival order.
  • There is no consistent definition of what a good lead looks like.
  • Notes are thin, so the rep starts every call from scratch.

Illustrative example — the shared inbox

  • 09:00 Fifteen enquiries sit in a shared inbox, unranked.
  • 11:40 Reps have worked through the first six — four were not a fit.
  • 13:00 The best-fit lead of the day is still at position eleven.
  • 16:20 It is finally answered, hours after they enquired elsewhere.
The nine-stage workflow

How AI Sales Qualification runs, stage by stage

From a raw enquiry to a scored, briefed, correctly-routed conversation.

1

Problem

Enquiries arrive unranked, so the best ones are often handled last.

2

Trigger

Any new lead on any channel enters the qualification flow immediately.

3

AI Agent

The agent opens a short, natural conversation and asks your qualification questions one at a time.

4

Decision / Qualification

Answers are scored against your criteria and the lead is placed in a clear band.

5

CRM Update

The score, band and a short summary are written to the CRM and the lead is routed by rule.

6

Message / Call

The lead gets an immediate reply and, if appropriate, a booking link or a call offer.

7

Appointment / Next Step

High-fit leads are booked or queued for immediate outreach; low-fit ones get a graceful decline or nurture.

8

Follow-Up

Unresponsive leads enter a short, respectful cadence rather than being abandoned.

9

Reporting

Qualification rate, score distribution and rep outcomes are reported so the criteria can be tuned.

1 · Problem

Enquiries arrive unranked, so the best ones are often handled last.

Fields & signals: lead source, form data, arrival time, channel

2 · Trigger

Any new lead on any channel enters the qualification flow immediately.

Fields & signals: trigger channel, entry point, campaign, timestamp

3 · AI Agent

The agent opens a short, natural conversation and asks your qualification questions one at a time.

Fields & signals: question set, branching logic, tone, knowledge base

4 · Decision / Qualification

Answers are scored against your criteria and the lead is placed in a clear band.

Fields & signals: fit score, urgency, budget band, timeline, disqualifiers

5 · CRM Update

The score, band and a short summary are written to the CRM and the lead is routed by rule.

Fields & signals: contact, score, band, owner, priority, next action

6 · Message / Call

The lead gets an immediate reply and, if appropriate, a booking link or a call offer.

Fields & signals: message copy, booking link, callback options, channel rule

7 · Appointment / Next Step

High-fit leads are booked or queued for immediate outreach; low-fit ones get a graceful decline or nurture.

Fields & signals: appointment, queue position, nurture tag

8 · Follow-Up

Unresponsive leads enter a short, respectful cadence rather than being abandoned.

Fields & signals: cadence, stop conditions, opt-out keyword

9 · Reporting

Qualification rate, score distribution and rep outcomes are reported so the criteria can be tuned.

Fields & signals: leads in, qualification rate, score split, outcomes

What it looks like in practice

What gets handed to your rep

The rep opens a lead that is already scored, summarised and booked or flagged.

The point of the workflow is not to interrogate the lead. It is to give your rep a running start: what the lead wants, how soon, how they qualify, and what was already promised.

  • Each answer maps to a score your team agreed on, not a vibe.
  • Disqualifiers are handled politely and automatically, protecting rep time.
  • The rep sees the actual conversation, not a paraphrased note.
  • Criteria can be tuned as you learn which scores predict real sales.
Illustrative example — qualification thread
Thanks for reaching out about managed IT. To point you to the right person: how many staff would this cover?AI agent · 14:02
Around 40 across two offices.Lead · 14:03
Got it. And are you looking to switch providers now, or plan for later this year?AI agent · 14:03
Our contract ends in six weeks, so fairly soon.
That’s a good window. Do you have a budget range already agreed, or is that still open?AI agent · 14:04
Still open — we’re comparing three providers.
Understood. I’ll book you a 30-minute call with our solutions lead for Thursday 10:00 — he’ll be briefed on everything you’ve told me. Shall I confirm?AI agent · 14:04
Yes, confirm it.
Illustrative example

Illustrative thread. Scoring criteria, question order and booking rules are configured with you and reviewed before launch.

Same workflow, different industries

How it flexes for three very different businesses

The nine stages stay the same. The trigger, the language, the qualification questions and the outcome change completely.

B2B services

Firmographic screening

The agent asks about company size, current provider and contract timing, then routes enterprise-shaped leads to senior reps and smaller ones to a self-serve path — with different copy for each band.

Med spa

Consultation suitability

The agent asks about the treatment of interest and timing, books a consultation, and routes any suitability or medical question to the clinic team rather than answering it.

Solar

Roof and timing checks

The agent confirms homeownership, roof type and electricity bill range before booking a site survey, so the survey team only visits properties that can realistically proceed.

Failure modes & safeguards

What happens when things are not tidy

Real conversations are messy. These are the guardrails we build in before go-live.

Human handoff when the AI is unsure

Any answer outside the defined question set is escalated to a human rather than interpreted loosely, so edge cases are judged by people.

Opt-out and consent handling

Messaging consent and opt-out are applied to every channel, and the lead’s stated preferences are respected.

Quiet hours for SMS

Quiet-hour rules apply to any outbound SMS that is not a direct reply.

No fabricated outcomes

Scores reflect only what the lead actually said — the agent does not invent qualification data or assume answers.

Metrics to watch

What we measure for you

We report on outcomes from your own data. We do not publish invented benchmarks — the numbers below are the ones we track and explain with you.

Response time

Median time from enquiry to a completed qualification decision.

Qualification rate

The share of leads that reach a clear band, and the split between the bands.

Booking rate

How qualification bands convert into booked and held appointments downstream.

Show rate

Whether higher-scored leads actually produce more sales, which is how the criteria earn trust.

Where it fits

Connect it to the rest of your system

FAQ

AI Sales Qualification questions

Where do the qualification questions come from?
From your team. We workshop the questions and scoring bands with you during the audit, then you approve the exact wording and logic before anything goes live.
Can it disqualify people politely?
Yes. Low-fit leads receive a respectful response and, where useful, an alternative direction or a nurture path — never a blunt rejection.
What if a lead refuses to answer?
The agent does not push. It captures what it can, flags the partial qualification and hands the lead to a human for a judgement call.
Get started

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