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Live demo · AI tool · B2B sales teams

Every lead researched before the first call.

Form fills, missed calls and ad leads are researched automatically: company, size, role and buying signals. Each gets a fit score with reasons and a brief for the salesperson.

The problem

“Salespeople spend an hour researching each lead before the first call.”
The problem this demo is built to solveLive demo · sample data

What is lead enrichment automation?

Lead enrichment automation researches every new lead the moment it arrives: the company, its size and industry, the person’s role, and signals like hiring or a new plant. AI scores the lead against your ideal customer, explains the score, and writes it into your CRM with a short brief — so salespeople call the right leads first.

Built around your workflow: this demo is a starting point — screens, fields, rules and integrations are made to fit your business.

Researching a new lead

Before: Done by the salespersonWith the system: Ready before the first call

How the system works · how we measured

In the demo every lead is researched, scored with reasons and briefed in one run; a built system does it the moment the lead arrives.

01 · The problem

What problem does it solve?

A B2B software company gets 40 leads a day from its website, LinkedIn ads and missed calls. Each salesperson spends the first hour of the day googling companies and guessing who is worth a call.

Good leads wait until the afternoon while the team calls whoever arrived first; a third of leads are not a fit at all.

  • Research time

    An hour a day per salesperson.

  • Slow follow-up

    Hot leads called late.

  • Wrong priorities

    Calls in the order leads arrived.

  • Thin CRM

    Records with a name and an email only.

02 · The solution

How does Lead Enrichment Automation fix it?

  1. 01

    Research on arrival

    From the email domain, website, public company records and professional profiles.

  2. 02

    Score against your ideal customer

    Size, industry, location and role checked against the profile you define, with reasons.

  3. 03

    Look for signals

    Hiring, expansion, tools they use — the hints that a lead is ready now.

  4. 04

    Brief and route

    A short brief in the CRM and the lead assigned to the right salesperson.

03 · The result

What changes?

Researching a new lead

Before: Done by the salespersonWith the system: Ready before the first call

How the system works · how we measured

In the demo every lead is researched, scored with reasons and briefed in one run; a built system does it the moment the lead arrives.

From lead to brief
Minutes
Against your ideal customer
Fit score
With every score
Reasons
Updated automatically
CRM

Live demo

Try it live.

A scripted demo with sample data, so it behaves the same for everyone. Nothing you do here is saved or sent anywhere.
  1. 1Press “Research 5 leads” and see them ranked by fit.
  2. 2Open a lead to see its fields, checks and reasons.
  3. 3Assign the best two and send them to sales.
Make it yours
Loading the demo…

Before & after

The same day, two ways.

Watch each task move from the way it’s done today to the way it runs on the system — or drag the slider yourself.
Today
With the system
  • ResearchToday: An hour of googlingWith the system: Done on arrival
  • Call orderToday: First in, first calledWith the system: Best fit first
  • CRM recordToday: Name and emailWith the system: Company, size, role, signals
  • Opening lineToday: GenericWith the system: From the brief

Your numbers

What could it save you?

Put in your own volume and timing. It’s your estimate, worked out in your browser — not a promise from us.
min
min

Our estimate for the same task — change it if you like.

₹ / hr

Your estimate

121 hours a month

About 15.2 working days back every month.

1,040 lead researcheds a month (26 working days) × 7.0 minutes saved each. Your numbers stay in this browser.

Make it yours

Built around your business.

Choose what your version of Lead Enrichment Automation needs. Your brief builds itself — send it, and we reply with a plan.

Often asked for by businesses like yours

  • Your ideal-customer profile
  • Score thresholds
  • Which signals matter
  • Who gets which leads
  • Data sources you trust
Always included
  • Research on arrival
  • Fit score with reasons
  • CRM update
  • Brief
Add modules
Connect to the tools you use
Runs on
Languages
Hosting
Team size

Under the hood

How is it built?

Where the data comes from, what the system does with it, and what comes out.

Inputs

  • Website forms, ads & missed calls
  • Public company & profile data
  • Your ideal-customer profile

The engine

  • Research agents
  • Fit scoring with reasons
  • Routing rules

Outputs

  • Enriched CRM records
  • Briefs for salespeople
  • Lead priority lists

Modules

  • Company & role research
  • Fit score against your ideal customer
  • Buying signals
  • CRM update
  • Brief for the salesperson
  • Routing by territory

Connects to

  • Zoho CRM
  • HubSpot
  • Salesforce
  • LeadSquared
  • Your website forms
  • LinkedIn lead forms

Stack

  • Claude / GPT
  • Web search & company-data APIs
  • Your CRM API (Zoho, HubSpot, Salesforce)
  • Node.js / Python workers
  • WhatsApp or Slack alerts

Proof, the honest way

What would you measure?

This is a demo, so we don’t claim client results. In a real roll-out, these are the numbers we track from week one — before and after.
  • Speed to lead

    Time from arrival to first call.

  • Fit accuracy

    Scores checked against won and lost deals.

  • Research hours saved

    Per salesperson, per week.

  • Win rate by score

    Do high scores really close more?

FAQ

Lead Enrichment Automation FAQ

All questions →
What is lead enrichment automation?

Lead enrichment automation researches every new lead the moment it arrives: the company, its size and industry, the person’s role, and signals like hiring or a new plant. AI scores the lead against your ideal customer, explains the score, and writes it into your CRM with a short brief — so salespeople call the right leads first.

Where does the enrichment data come from?

Public company records, the lead’s website, professional profiles and data providers you choose — each field is stored with its source and confidence.

Is this allowed under India’s data protection law?

Using business contact data for a business purpose is common, but the DPDP Act still applies: we record sources, limit what is kept and honour deletion requests.

Can it update our existing CRM?

Yes — Zoho, HubSpot, Salesforce, LeadSquared or a custom CRM, through their APIs.

How does it decide the fit score?

From the ideal-customer profile you agree with us, and it shows which checks passed or failed so salespeople can disagree.

Does it write to leads automatically?

It can draft a first email for the salesperson to send; nothing goes to a lead without a person approving it.

Built around you

Every demo is a starting point.

Nothing here is sold as-is. Each one is rebuilt around your business — these are the things we tailor on every project.
  • Your workflow

    Steps, approvals and statuses the way your team works today.

  • Roles & permissions

    Who sees and changes what — by branch, team or person.

  • Fields & forms

    Your terms, your fields, your numbering and units.

  • Reports

    The numbers you check every day, in your format.

  • Integrations

    Tally, WhatsApp, payments, couriers and the tools you already use.

  • Your brand

    Your name, logo and colours on every screen and document.

  • Language

    English, Hindi or a regional language for staff and customers.

  • Hosting

    Our cloud, your cloud account or your own server.

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Updated 30 Oct 2026 · Arcade Alliance Network is a web, app, software and AI development company in Lucknow, India, building custom software for businesses in India and worldwide.

Got a problem like this?

Tell us how your team works today. We’ll show you a prototype of the fix — with your own terms and sample data — before anything is built.

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