AI Automation

Your sales team is wasting 60% of their time on leads that will never buy

AI lead qualification scores every inbound lead, enriches CRM records automatically, and books meetings only with prospects that match your ICP — before a salesperson makes contact.

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The challenges you're facing

Sales reps spending hours each day manually researching and qualifying leads that don't convert

Inbound leads sitting in CRM for days without follow-up because no one has time to triage them

No consistent qualification criteria — different reps qualify differently, poisoning pipeline accuracy

AI That Qualifies Leads While Your Team Sleeps

We build AI lead qualification systems that score every inbound lead against your ICP the moment they arrive, enrich the CRM record with LinkedIn, company, and intent data, send a personalised first-touch email, and only route to a sales rep when the lead hits your qualification threshold. Your team's time is protected for qualified conversations.

What you get

1

ICP & Scoring Model Design

Define your ideal customer profile and build a multi-factor lead scoring model based on historical conversion data.

2

CRM Integration & Enrichment

Connect to your CRM and data enrichment sources to automatically populate company, role, and intent signals.

3

AI Qualification & Routing

Deploy the scoring engine, automated first-touch sequences, and routing rules to your sales workflow.

4

Analytics & Model Refinement

Continuous feedback loop comparing AI scores to actual conversion rates to improve model accuracy.

Technologies & tools

HubSpotSalesforceApollo.ioClearbitOpenAIn8nZapierClay

Case study — anonymised

B2B SaaS — Sales Team of 12

Before

Sales team receiving 400 inbound leads/month. Reps manually qualifying all of them, spending 2 hours/day on research with a 12% meeting conversion rate.

After

AI system scores and qualifies all leads, routes top 20% to reps with full enriched profiles. Reps spend that 2 hours on qualified calls instead.

Meeting conversion rate increased from 12% to 31%, pipeline quality up 2.6×, 8 hours/week per rep reclaimed

Frequently Asked Questions

Common questions from enterprise and mid-market teams across India and internationally.

What data sources does the AI use to score leads?
We combine form submission data, company size, industry, LinkedIn seniority, website intent signals (via tools like Clearbit or Apollo), and firmographic enrichment. The scoring model is trained on your historical conversion data to weight factors correctly for your business.
Can the AI send personalised emails, not just score leads?
Yes. We build automated first-touch email sequences that reference the lead's specific company situation, industry challenges, and the product or page they showed interest in. Open and reply rates are typically 2–3× higher than generic sequences.
What CRM platforms do you integrate with?
We integrate with Salesforce, HubSpot, Pipedrive, Close, Zoho, and most CRMs with a REST API. The AI qualification data writes directly to your existing CRM fields — no new system to learn.
How does the system improve over time?
We close the feedback loop by feeding actual deal outcomes (won/lost/no-show) back into the scoring model. After 3 months, the model has seen enough conversion data to meaningfully improve ICP accuracy and reduce false positives.

Ready to get started?

Tell us about your situation and we'll respond with a tailored assessment within one business day.

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