AI Lead Generation for Sales Teams

Let your AI agent handle prospect research, qualification, and list building—so you spend more time closing deals and less time updating spreadsheets.

You’re stuck exporting lists from Salesforce, searching LinkedIn for decision makers, and updating contacts in Excel. As an Account Executive or SDR, your pipeline suffers while you chase down missing info and outdated leads. Every hour spent on admin is an hour not selling.

An AI agent that researches, qualifies, and enriches B2B sales leads using your criteria, so sales teams can focus on outreach instead of manual data entry.

What this replaces

Export lead lists from Salesforce into Excel for manual review
Search LinkedIn for updated contact information on each account
Cross-check company details between HubSpot and email threads
Manually segment prospects by industry in Google Sheets
Update lead records one by one in CRM

The hidden cost

What this is really costing you

In B2B sales, Account Executives and SDRs waste hours each week pulling company data from Salesforce, hunting for contacts on LinkedIn, and cleaning up lead lists in Google Sheets. This manual research slows down outreach and leaves your pipeline full of stale or incomplete prospects. Sales teams in SaaS, IT, and consulting are especially vulnerable to outdated data when targeting fast-moving industries. The result: missed connections and lost revenue.

Time wasted

2-3 hours/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$7,000/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

Ignore this, and your team will reach out to the wrong people, miss key buying signals, and lose deals to competitors who move faster. Outdated contacts mean wasted calls and missed quotas.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

2-3 hrs/week

of manual work

$7,000/year/ year

With your AI agent

20 min/week

agent-handled

$800/year/ year

You save

$6,200/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

Build a List of Tech-Focused SMBs

You ask your agent to find small and medium businesses using cloud and data analytics solutions in your region.

Identify Decision Makers in Target Accounts

You ask your agent to pull contact details for IT managers at companies with recent infrastructure upgrades.

Segment Leads by Industry Compliance Needs

You ask your agent to surface prospects in regulated industries needing secure data solutions.

Update Lead Lists with Latest Info

You ask your agent to refresh your existing prospect list with the newest company and contact data.

How to hire your agent

1

Connect your tools

Link your existing customer research platforms, database management tools, and workflow tracking systems.

2

Tell your agent what you need

Example: 'Find mid-sized healthcare companies in the Northeast using cloud-based data solutions and list their IT directors.'

3

Agent gets it done

Your agent returns a qualified, organized list of potential customers with enriched details, ready for your next move.

You doing it vs. your agent doing it

Manually search databases and websites for hours.
Get a curated list in minutes.
1 hr/week
Cross-reference multiple sources for each prospect.
Agent pulls and enriches data automatically.
30 min/week
Sort and filter leads in spreadsheets.
Agent applies filters instantly.
20 min/week
Individually verify and update contact details.
Agent refreshes lists on demand.
20 min/week

Agent skill set

What this agent knows how to do

Prospect Identification

Pulls company and contact data from LinkedIn Sales Navigator and Salesforce, generating targeted lists matching your ICP.

Lead Data Enrichment

Gathers firmographics and technology stack details from Crunchbase and BuiltWith, adding depth to each prospect profile.

Contact Verification

Checks email addresses and phone numbers against Hunter.io and Clearbit to ensure accuracy before outreach.

Segmentation by Criteria

Filters leads by region, company size, or compliance needs using your CRM fields and custom rules.

List Refresh & Update

Regularly updates existing lead lists with the latest job changes and company news from LinkedIn and public sources.

AI Agent FAQ

Yes, your agent connects directly to Salesforce and HubSpot via secure API. You can also upload CSV exports from other CRMs if needed. This ensures your lead research uses up-to-date data from your actual sales stack.

The agent verifies emails and phone numbers using Hunter.io and Clearbit. While most results are accurate, final review is recommended for high-value deals. Multi-language support is planned for future updates.

No, your data is processed in-memory and not retained after your session. All transfers are encrypted with TLS 1.3 to protect sensitive information.

Absolutely. You specify filters like industry, region, company size, or technology stack every time you run the agent. This ensures your prospect lists match your current campaign needs.

Instead of manually exporting from Salesforce, searching LinkedIn, and updating Excel, your agent automates prospect discovery and data enrichment in minutes. Most sales teams reclaim 2-3 hours per week per rep.

See how much your team could save with AI

Take our free 2-minute automation audit. Get a personalized report showing exactly which tasks AI agents can handle for your team.

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