Your sales team should only ever see the leads worth calling.
Every enquiry gets the same questions your best salesperson would ask, scored against criteria you set, and staged in one pipeline. The ones that clear the bar reach a human. The rest are handled or parked without anyone burning an afternoon on them.
We ask for 30 minutes first — we cannot price a build we have not seen inside. No obligation, and you keep the scope either way.
Built and handed over by AcquihireTech · Delhi NCR
Live client systems: ReRoom.in (Interiors, Mumbai) · ePrep Global (Test prep, New Delhi) · ARVEX (Construction & tiles, Delhi NCR). We publish the names, not invented numbers — read the case studies.
An AI lead qualification agent exists to make one number true: the share of leads reaching a salesperson that were worth a salesperson. This is an AI lead qualification system rather than a bolt-on score — an ai bot for lead qualification that asks your criteria conversationally on whatever channel the lead arrived through, applies a weighted model built from your own closed and lost deals, and stages the result in one CRM pipeline with the reasoning attached. Every weighting is visible and yours to change. AI lead scoring automation is only half of it — the lead routing automation India teams actually need is what happens after the score, which is why routing rules and nurture sequences sit in the same build.
Where lead qualification actually breaks
Sales works the wrong leads
The loudest enquiry gets the attention, not the best one, because nobody has time to sort before calling.
Qualification depends who picked up
Three salespeople ask three different sets of questions, so no two lead records are comparable.
Leads arrive in five places
Forms, WhatsApp, calls, email, a portal. There is no single list, so there is no single answer to "how many did we get".
Marketing cannot tell what worked
Without consistent qualification against source, spend decisions are guesses dressed as strategy.
What the AI lead qualification agent does
Asks your criteria, every time
Budget, timeline, authority, scope, location — consistent across every channel
Scores against your model
A weighted score you define, visible on the record and explainable
Routes to the right person
By score, sector, territory or product, with the reasoning attached
Nurtures the not-yet
A lead that is real but early goes into a sequence instead of into the bin
Attributes back to source
Every qualified lead traceable to the campaign, keyword or channel that made it
Hands over cleanly
Sales gets the transcript, the score and the reason, not just a phone number
How the AI lead qualification agent gets built
-
01
Every source into one intake
Website forms, WhatsApp, calls, email and lead ads all land in a single pipeline.
-
02
Qualified conversationally
The agent asks your questions in the channel the lead is already using, in their language.
-
03
Scored and staged
A weighted score is applied and the lead is staged — qualified, nurture, or out of scope, with the reason recorded.
-
04
Routed or sequenced
Qualified leads go to a named salesperson immediately. Early ones enter a nurture sequence with a defined review date.
What we will not let it do.
Most of this category sells an outcome it does not control. We would rather show you the rules the build is held to — every one of these is written into the scope, tested before go-live, and yours to change afterwards.
- The scoring model is written with you from your own closed and lost deals, and every weighting is visible and changeable — no opaque score you cannot interrogate.
- Disqualification is reversible by design. Anything scored out is parked with a reason and a review date, not deleted.
- The agent is tested against a set of your real past enquiries before launch, including the ones that looked bad and closed anyway.
- Every score carries the reasoning, so a salesperson who disagrees can see exactly why the lead was staged where it was.
Worth building — and worth not building.
A build at the wrong moment is worse than no build. If the right-hand column describes you, say so on the call and we will tell you what to do instead.
Build this if
- You get more leads than your sales team can properly work
- You have at least 200 historical closed and lost deals to model from
- Leads arrive through three or more channels that do not talk to each other
- A sales leader can define and defend the qualification criteria
Do not build this yet if
- Your problem is lead volume, not lead quality — start with Growth
- You have no historical deal data to build a scoring model from
- Your sales team will not act on a routed lead within the day
Everything in an AI lead qualification build
- Single intake wired from every lead source you use
- Qualification question set written from your criteria and approved before launch
- Weighted scoring model built from your own closed and lost deals
- Routing rules by score, sector, territory or product
- Nurture sequence for real-but-early leads, with review dates
- CRM pipeline setup — stages, fields, ownership and handover
- Source attribution — campaign, keyword, UTM and click ID on every record
- Reporting view: leads by source, qualified rate, routing time, stage movement
- Two rounds of revisions after launch on live lead data
- Documented SOPs and full credentials handed to you at close
What we need from you: roughly one to two hours a week during the build — access to the accounts involved, a look at how the work is done today, and written sign-off on what the agent may say. Pass-through costs: telephony minutes, WhatsApp conversation charges and model usage are billed to you directly by those providers at their own rates. We do not resell or mark them up, and we size them against your real volume in the written scope.
It has to fit the stack you already run.
- Lead sources
- Website forms, Meta Lead Ads, Google Lead Forms, portals, missed calls
- Messaging
- WhatsApp Business API, SMS, email
- CRM
- HubSpot, Zoho CRM, Pipedrive, LeadSquared, Salesforce
- Automation
- n8n, Make, Zapier
- Analytics
- GA4, Meta Pixel, UTM and GCLID capture, Looker Studio
- Calendar
- Google Calendar, Calendly, Cal.com
Anything else with a documented API or webhook can be connected — the connectors are named in the written scope, and anything discovered later is priced before it is built.
Two ways to start.
Agent builds are scoped and priced individually — the figure moves with channel count, integration count, volume and how much logic sits behind the conversation. Published pricing for the four engines is on the Engagements page and is a fair guide to the order of magnitude. The audit produces a written scope and a written price, and both are yours to keep.
Pilot
Two lead sources, one qualification flow, one scoring model, CRM staging. Enough to see what share of your current volume is actually worth a call.
Live in 3–4 weeks
Get a written scopeProduction
All sources, multi-flow qualification, routing rules, nurture sequences, full attribution and reporting, and 90 days of tuning.
Live in 6–8 weeks
Get a written scopeSystems Audit
Thirty minutes, free. We map your pipeline live and name the single biggest constraint — including when the honest answer is that you do not need this agent.
30 minutes · No charge
Book the auditYou own it. You can switch it off.
Data stays yours
Scoped against India's DPDP Act. Records sit in accounts you own, with retention rules you set. Your data is not used to train third-party models.
Approvals before it speaks
Everything the agent may say about price, scope and commitments is approved by you in writing before launch, and changeable afterwards.
A human is always reachable
Escalation paths are defined with you and tested before go-live. There is a documented off switch, and it is yours.
AI lead qualification — what sales leaders ask first
It is an agent that holds the qualifying conversation with every inbound lead — asking the criteria you set, scoring the answers against a model built from your own deal history, and routing the lead to the right person or into a nurture sequence with the reasoning attached.
From your own closed and lost deals, not a generic template. Every weighting is written down, visible on the record, and changeable by you. If the model is wrong, you can see why and change it.
Disqualification is reversible by design. Nothing is deleted — a lead scored out is parked with a stated reason and a review date, and the reasoning is on the record so a salesperson can overrule it.
Yes. Website forms, WhatsApp, phone, email and lead ads all feed one intake, and the same criteria are applied to each — which is what makes lead sources comparable for the first time.
They tend to once the score carries its reasoning. Sales sees the transcript, the score and the specific answers behind it, rather than a number with no explanation.
No — it fills one properly. If you have a CRM we wire into it. If you do not, setting one up is part of the build.
The intake and staging are useful from the first week. The scoring model gets meaningfully better after a few hundred real leads have run through it, which is why tuning is part of the engagement rather than an add-on.
You do — the CRM, the scoring model, the automations and the credentials all transfer to you at project close.
Speed-to-Lead fixes when you reply. This fixes which leads reach a salesperson at all. If your leads are decent and your first response is slow, buy that one. If you already reply fast and your team still burns days on enquiries that were never real, buy this one. They pair well and many builds include both, but they solve different constraints and you should not buy both to fix one.
A CRM stores the score somebody typed in. It does not hold the qualifying conversation, and it will not ask the same five questions of every lead at 11pm on a Sunday. If your CRM has lead scoring you are not using, the honest answer may be to configure it properly rather than buy this — the audit will say so. What this adds is the conversation that produces the answers a score needs.
Model usage and any messaging charges are pass-through, billed to you directly at those providers' rates and sized against your real lead volume in the written scope. The scoring model gets meaningfully better after a few hundred real leads, which is why 90 days of tuning is in the Production tier rather than sold as an add-on. After that the model, the pipeline, the automations and the credentials are yours, and continuing support is a separate arrangement.
Agents that work alongside this one.
WhatsApp Lead Response Agent
Every WhatsApp enquiry answered before it goes cold.
AI Appointment Setter for Real Estate
Portal leads turned into site visits, not a spreadsheet of names.
AI Intake Agent for Law Firms
Inbound intake, handled properly. No solicitation, no advice.
AI Sales Agent for D2C & Shopify
Recover the cart, confirm the COD order, answer "where is my parcel".
Put an AI Lead Qualification Agent to work this quarter.
The 30-minute Systems Audit maps your pipeline live, names the single biggest constraint, and tells you whether this is the right agent to start with. You keep the diagnosis either way.
We ask for 30 minutes first — we cannot price a build we have not seen inside. No obligation, and you keep the scope either way.