Know which leads will buy — before your team picks up the phone
An AI assistant that qualifies every inbound lead in conversation, scores it on fit, intent and engagement, explains the score, and routes the hottest ones to the right rep in seconds — around the clock.
AI lead qualification and smart scoring is an assistant that talks to every new lead the moment they arrive, asks the questions your best salesperson would ask, and gives each one a score from 0 to 100 based on how well they fit, how ready they are to buy, and how engaged they've been.
Instead of a static points table someone set up years ago, the score is built from your own won and lost deals, updated in real time as the lead behaves, and always shown with the reasons behind it — so your team trusts it and acts on it.
What changes once it's running:
Every lead answered in seconds, day or night, on the channel they used
Sales only talks to qualified buyers — tyre-kickers are filtered out politely and automatically
Hot leads reach the right rep instantly, with a summary of the conversation already attached
Marketing and sales finally agree on what "qualified" means, because it's one shared, visible score
[The problem]
Where good leads get lost today
01
Slow first response
Leads that wait hours for a reply have usually contacted a competitor by then. Interest is highest in the first few minutes — and that's exactly when most teams are busy.
02
Every lead treated the same
A student downloading a guide and a buyer with budget asking for a quote land in the same queue, at the same priority.
03
Gut-feel scoring
Points for "opened an email" and "visited a page" were set once and never revisited, so the score no longer predicts who actually buys.
04
A CRM full of noise
Spam, duplicates, competitors and job seekers clog the pipeline and waste your reps' best hours.
05
Sales and marketing disagree
Marketing reports "qualified leads", sales says they aren't — because nobody shares one definition of qualified.
06
[How it works]
From first message to booked meeting
Four steps run automatically for every lead, in seconds — no forms to chase and no spreadsheets to sort.
01
Capture & enrich
Every lead from your website, WhatsApp, Messenger, Instagram, email or ads lands in one place. Company size, industry, location and role are filled in automatically, and duplicates are merged.
02
Qualify in conversation
The assistant replies instantly and asks your qualifying questions naturally — budget, timeline, decision-maker, need — adapting to each answer instead of reading out a form.
03
Score & explain
Fit, intent, engagement and answers combine into one 0–100 score, with a plain-language reason for it. The score keeps updating as the lead's behaviour changes.
04
Route & follow up
Hot leads go straight to the right rep with a meeting slot offered. Warm leads get nurtured. Unqualified leads are closed politely — nothing falls through.
[Smart scoring]
The signals behind every score
01
Fit — are they your ideal customer?
Industry, company size, location, role and budget range compared against the customers who actually bought from you, not a guess.
02
Intent — are they ready to buy?
Pricing-page visits, demo requests, return visits and quote questions weigh far more than a newsletter sign-up.
03
Engagement — how active are they?
Replies, email clicks, content viewed and how quickly they respond — recent activity counts more than something they did months ago.
04
Conversation answers
What the lead told the assistant about budget, timeline, authority and need — the strongest signal of all, captured in their own words.
05
Negative signals
Free email addresses for B2B, competitors, students, job seekers and spam patterns lower the score automatically, so they never reach a rep.
[Score bands]
Every score triggers the right next step
Each lead lands in a band, and each band has its own automatic action. The ranges below are a typical starting point — we tune the thresholds to your sales cycle and your team's capacity.
Hot (80–100) — the rep is alerted instantly with a conversation summary, and the lead is offered a meeting slot right inside the chat
Warm (50–79) — a personal follow-up is scheduled for the same day, plus a short nurture sequence until they're ready
Cool (20–49) — added to a longer nurture track with useful content; the score is re-checked automatically if they re-engage
Not a fit (below 20) — closed politely with a helpful answer, tagged with the reason, and kept out of your reps' queues
Rules sit on top of the score when you need them: a request for a quote, a large order or a named key account can always jump straight to the top, whatever the number says.
[Qualification frameworks]
Asks the questions your best rep would ask
01
BANT
Budget, Authority, Need, Timeline — the classic checklist for fast, transactional sales and high lead volumes.
02
CHAMP
Challenges first, then Authority, Money and Prioritisation — a better fit when buyers come to you with a problem to solve.
03
MEDDIC
Metrics, Economic buyer, Decision criteria, Decision process, Pain, Champion — for larger B2B deals with several people involved.
04
Your own checklist
Property type and move-in date, treatment and insurance, course and intake — we build the questions around how your business actually sells.
05
A conversation, not a form
Questions are asked one at a time, in context, and skipped when the lead has already answered them — so it never feels like an interrogation.
06
[Routing]
Qualified leads reach the right rep in seconds — with full context
Once a lead is scored, routing rules decide who gets it and how fast. The rep is notified where they already work, and the lead never has to repeat themselves.
Owner matching — existing accounts go back to their current owner; new ones are assigned by territory, language, product or deal size
Round-robin and capacity rules — leads are shared fairly, and nobody is sent more than they can handle
Instant alerts — Slack, Teams, WhatsApp or email, with the score, the reason and a short conversation summary
CRM kept up to date — contact, company, score and every answer written to HubSpot, Salesforce, Pipedrive, Zoho or your own system
Escalation if ignored — a hot lead not picked up within your set time is automatically reassigned
[Transparent by design]
Every score comes with a reason
A score your team doesn't understand is a score they'll ignore. So nothing is a black box:
Score breakdown — see exactly how much fit, intent, engagement and answers each contributed, e.g. "82 — right company size, asked for pricing twice, decision-maker, wants to start this month"
Conversation summary — the key facts from the chat in three lines, at the top of the CRM record
Manual override — reps can correct a score in one click, and every correction teaches the model
You control the rules — change thresholds, questions and routing yourself, without a developer
Full history — every score change is logged with its reason, so you can always see why a lead moved
Human in the loop — the assistant never promises prices, discounts or contracts; those always go to a person
[What's new]
Built on how buyers behave now
01
Predictive scoring from your own deals
The model learns from your closed-won and closed-lost history and re-trains as new deals close, instead of relying on a fixed points table.
02
AI agents that qualify, not just chat
The assistant takes action — books the meeting, updates the CRM, sends the quote request to sales — rather than only answering questions.
03
Real-time intent signals
Return visits, pricing-page views and high-intent questions raise the score the moment they happen, so reps call while interest is at its peak.
04
Voice qualification
Inbound calls and missed-call call-backs are qualified by voice and scored exactly like chat leads.
05
Automatic enrichment
Company and role details are filled in for you from the email domain and public business data, so leads don't need to fill in long forms.
[Built for]
Works for every business that sells to leads
01
Real estate
Separates serious buyers and tenants from browsers by budget, area, move-in date and mortgage status, then books the viewing.
02
B2B & SaaS
Scores on company size, role and product usage, and hands sales-ready trials to account executives automatically.
03
Clinics & healthcare
Qualifies by treatment, insurance and urgency, and books the consultation without tying up the front desk.
04
Education & training
Sorts enquiries by course, intake, eligibility and funding, so admissions calls the right applicants first.
05
Agencies & services
Filters out projects outside your budget or scope before anyone spends an hour on a discovery call.
06
[How we get you live]
From demo to go-live
01
Demo & requirements
A walkthrough on your own scenarios, and a written study of how your team works today.
02
Setup & migration
We configure modules, roles and documents, and move your existing records across.
03
Training
Hands-on sessions for every role, plus guides your team can come back to.
04
Go live & support
We stay with you through launch and after, with updates and a direct line to our team.
[Still deciding?]
Book a free walkthrough and we'll show you how AI Lead Qualification & Smart Scoring fits the way your team already works.
How is AI lead scoring different from traditional lead scoring?
Traditional scoring adds fixed points for actions someone picked by hand. AI scoring learns which signals actually predict a sale from your own deal history, weighs them automatically, updates in real time, and explains each score — so it stays accurate as your market changes.
Enquiries that arrive after hours or at the weekend sit unanswered until Monday — by which point the moment has passed.
06
Score decay
A lead who went quiet for weeks drops in score over time, and climbs again the moment they come back — your list always reflects today.
Any language, any channel
Qualifies leads in the language they write in, across web chat, WhatsApp, Messenger, Instagram, email and voice.
06
Privacy-first by default
Consent is captured, only the data you need is stored, and leads can ask for theirs to be removed — aligned with GDPR-style privacy rules.
Automotive & finance
Qualifies by model, trade-in, finance need and timeline, and routes ready buyers to the showroom or advisor.
No. We start with a rules-based score built from your ideal-customer profile and your team's experience, then switch on predictive scoring once enough deals have closed for the model to learn from.
Which CRM and channels does it work with?
It connects to HubSpot, Salesforce, Pipedrive, Zoho and custom CRMs, and qualifies leads from your website, WhatsApp, Messenger, Instagram, email, ad forms and phone.
Will leads feel like they're talking to a robot?
The assistant introduces itself clearly, asks one question at a time in a natural tone, and hands over to a person the moment the lead asks for one or the conversation needs a human decision.
Can our sales team override a score?
Yes — reps can adjust any score in one click, and every correction is fed back so the model gets better over time.
How long does it take to go live?
Most teams are live in two to four weeks: one week to map your qualifying questions and scoring rules, then connection to your CRM and channels, a testing period, and go-live.
Is our lead data secure?
Data is encrypted in transit and at rest, access is role-based, and we only collect what you need to qualify a lead. Consent and deletion requests are handled automatically.