1 · Noise
Inboxes full, focus missing.
- Leads arrive from web, WhatsApp, email, phone and portals.
- Everyone promises “we’ll get back to you soon”.
- Nobody is sure which 20% deserve attention today.
IN ONE CRM · AI Lead Scoring & Qualification
See your best leads first. Let AI sort the noise.
IN ONE combines web, WhatsApp, email and CRM activity into simple lead scores your team can trust. AI highlights who’s ready now, who needs nurture, and who can safely wait – all inside the pipelines you already use.
Book a Demo
We’ll show live lead scores in IN ONE – and how they change as people click, reply and engage.
The problem
More leads than ever – but reps still chase the wrong ones.
Ads, forms, WhatsApp and referrals all feed your pipeline. Without a clear scoring model, it feels like guesswork and gut feel.
2 · Cherry-picking
Reps go with “who feels good”.
- Favourite industries and easy deals get attention first.
- High-LTV, complex or “not sure yet” leads fall through the cracks.
- Pipeline looks full, but the real win rate stays flat.
3 · Blind spots
Leadership can’t see where the value is.
- Marketing asks “which leads are best?” and gets shrugs.
- Sales reports are about volume, not quality.
- Nobody can prove which channels or messages attract real buyers.
How it works in IN ONE
AI scores leads based on real behaviour – not just form fields.
IN ONE uses the data you already collect – clicks, replies, bookings, notes – to rank leads and send them to the right queue with a reason attached.
Step 1
Signals flow into IN ONE.
- Source: ad campaign, keyword, portal, referral, partner.
- Engagement: pages viewed, WhatsApp threads, email opens.
- Context: deal value, products, industry, timeline and notes.
Step 2
AI scores & explains each lead.
- Scores leads on a simple A / B / C or 0–100 scale.
- Adds a short “why” note in plain language for reps.
- Updates scores as new activity happens in IN ONE.
Step 3
Queues & playbooks adjust automatically.
- A-class leads go to your fastest “speed to lead” queue.
- B-class leads drop into nurture flows with soft touches.
- C-class leads still exist – but don’t eat your best time.
Signals AI looks at (all inside IN ONE).
You can start simple and add more signals over time. The goal is to mirror how a great rep already thinks – then make that thinking consistent.
Source & intent
Where they came from + what they asked.
Lead source, campaign, keyword, first message and form answers give a strong signal
of intent and fit.
Engagement
What they’ve actually done so far.
Page views, email opens, WhatsApp replies, file downloads, time between touches –
all tracked on the IN ONE spine.
Fit & value
Are they right for you?
Industry, company size, region, product interest and estimated value help AI weight
“great fit but early” vs “ready but small”.
Team feedback
What your reps and callers see.
Outcomes from calls, AI callers, meetings and notes loop back into the model so the
scoring improves over time.
From raw lead list to a clean “today” list.
Your reps don’t need to understand the model. They just open IN ONE and see the right people to talk to next.
1
Leads arrive from everywhere.
Web forms, WhatsApp, call centre, imports and integrations all land in IN ONE with a
basic profile and timeline.
2
AI scores them in the background.
As soon as enough data exists, the lead gets a score and a one-line explanation your
team can see on the card.
3
Queues and views update.
“Today’s list” shows A-class leads first; board views, filters and dashboards all
respect the new scores automatically.
4
Playbooks run based on score.
A-class triggers fast human follow-up, B-class enters nurture, and C-class gets
light-touch automation only – with all activity logged.
You can start with a simple rules-based score and grow into richer AI models as you see what actually predicts wins in your business.
Who benefits
For reps it’s a “today” list. For leaders it’s a clear picture of value.
Same scores, same data – just presented differently for the people doing the work and the people steering the strategy.
Inside a rep’s world.
- Open IN ONE and see “A-class leads to call right now”.
- Each lead shows a short “why” note instead of a mystery number.
- Follow-up tasks and WhatsApp/email templates are prepped per score.
- Reps spend more time actually speaking to the right people.
Inside a manager’s & founder’s world.
- Dashboards show lead quality by source, campaign and team.
- See how many A/B/C leads convert – not just how many leads you bought.
- Spot where good leads die: first reply, quote, handover, collections.
- Decide where to invest budget with evidence, not arguments.
Questions
AI lead scoring & qualification in IN ONE – common questions.
Do we need perfect data before we start with AI lead scoring?
No. We usually start with the signals you already track reliably – source, basic
engagement and simple fit. As we clean data and improve capture with IN ONE, we add
more signals and refine the scoring model together. The goal is progress, not a
“perfect” CRM on day one.
Will AI override our reps’ judgement on which leads to call?
No. AI suggests priorities; humans still decide. Reps can override scores, leave
notes and mark leads as “hot” or “not a fit”. That feedback loops back into the
model so it learns from your best people instead of fighting them.
Can we see why a lead was scored A vs B or C?
Yes. Each lead score comes with a short explanation – for example, “high-intent
keyword + pricing page + positive WhatsApp reply”. You can also open dashboards to
see which signals are most predictive over time, so scoring never feels like a
black box.
How does this work with AI callers and WhatsApp bots?
Calls, transcripts and WhatsApp conversations from your AI callers and bots are all
written to the IN ONE spine. We can use outcomes – like “confirmed appointment” or
“not interested” – and key phrases as extra signals in the lead score. One system,
one score, shared by humans and AI.
Want to see your pipeline ranked by real buying intent, not guesswork?
Bring a snapshot of your current lead sources and pipeline. We’ll show how AI lead scoring in IN ONE could re-order your “today” list – and what that means for response times, win rates and marketing spend.
