TAM AGENT

An Agent That Works Your Entire TAM — FOR You

TAM Agent is an AI-powered orchestration system that builds dynamic audiences, identifies buying committees, scores intent with transparent ML, and orchestrates multi-channel outbound. Unlike tools that give you data and expect you to act on it, TAM Agent takes action automatically. It's like having a forward-deployed RevOps team that never needs a spreadsheet.

Stop the manual list building. Stop the Clay agencies. TAM Agent scores every account for ICP fit, monitors intent signals in real-time, finds the full buying committee, and enrolls them in sequences and LinkedIn Ads — so your team focuses on closing, not prospecting.

Think of it as 6sense + ZoomInfo + Clay — but it actually does the work FOR you.

See TAM Agent In Action

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Trusted by 000 B2B revenue teams

Talk to a Warmly Customer

Trusted by 000 B2B revenue teams

What is Warmly's TAM Agent?

TAM Agent is an AI-powered orchestration system that automates your entire go-to-market motion:

Builds audiences dynamically • Best-fit accounts showing intent, refreshed daily

Tiers accounts with AI • ICP scoring that learns from your closed-won deals

Identifies buying committees • Not title matching — actual decision-maker discovery

Scores intent with ML • Transparent scoring you can see and tune

Enriches contacts • Multi-vendor waterfall for 95%+ email coverage

Targets on LinkedIn • Automatic audience sync to LinkedIn Ads

Orchestrates outbound • Sequences through your reps or AI SDR

Nurtures at scale • Email campaigns based on engagement level

Learn about AI Chat

Teams drowning in spreadsheets

Stop manual list building

Companies replacing Clay

Same flexibility, no agencies

ABM at scale

Automate what takes a team of 3

TAM Agent included in Warmly plans starting at $15,000/year

See Warmly Pricing

Tool

Annual Cost

What You Get

TAM Agent

Included

Full orchestration + on-site conversion

Clay + Agency

$50,000-80,000

Spreadsheet ops, constant maintenance

6sense

$60,000-150,000

Account-level intent only

ZoomInfo + Outreach

$45,000-90,000

Data + sequences, no orchestration

The Problems Killing Your GTM Efficiency

"I'm drowning in spreadsheets"

Building lists, exporting CSVs, uploading audiences. Your TAM work takes 8-15 hours per week — time you could spend closing deals.

"My data is always stale"

Audiences decay 30% per year. By the time you've built a list, half the contacts have changed jobs. Your "hot" list is already cold.

"I can't process all the signals"

Website visits, Bombora surges, job postings, G2 research — signals everywhere. No way to combine them into action.

"My tools don't talk to each other"

LinkedIn Ads, email sequences, CRM, enrichment — different tools for each. Data scattered everywhere.

"I can't learn what's working"

No feedback loop. Can't tell which signals actually predict conversion. Just guessing and hoping.

"I'm paying for agencies to run Clay"

Clay agencies cost $2-5K/month. And you still need to babysit the spreadsheets every week.

Dynamic Audience Building - TAM Agent Page

Stop building lists. Start defining criteria.

Define your audience once — ICP tier, intent thresholds, engagement signals, deal stage — and TAM Agent keeps it fresh automatically. Accounts flow in when they qualify, flow out when they don't. No more stale CSVs.

Audiences refresh daily (or real-time for high-intent triggers)

Combine ICP fit + intent + engagement + CRM data

Automatic sync to LinkedIn Ads, HubSpot, Outreach

See exactly why each account qualified

Learn about Dynamic Audiences

Let AI learn your ideal customer

Most ICP definitions are guesswork. TAM Agent analyzes your closed-won deals to find real patterns, then scores every account in your TAM against those patterns. Tier 1 accounts convert 3x better.

Transparent scoring:

ML model trained on your historical wins

Explains why each account scored the way it did

Continuously improves as you close more deals

Tier 1/2/3 + "Not ICP" classification

Learn about Al ICP Tiering

Find the people who actually make decisions

Title matching gets you names. Buying committee identification gets you the right names. TAM Agent uses AI to analyze org charts, job descriptions, and LinkedIn data to identify the actual decision-makers.

Four personas identified:

Champion • Will advocate internally for purchase

Decision-maker • Has budget authority

Influencer • Shapes the evaluation process

Approver • Finance/legal sign-off

Verified work emails (95%+ deliverability)

LinkedIn profiles for social selling

Learn about Buying Committee ID

Know who's ready before they tell you

Intent isn't a black box. TAM Agent combines first-party signals (website visits, pricing page views, chat engagement) with third-party data (Bombora surge, job postings, G2 research) into a transparent score you can see and tune.

Configurable scoring:

First-party: Website behavior, chat conversations, email engagement

Third-party: Bombora intent topics, job postings, job changes

CRM: Deal stage, last activity, engagement history

Tune weights based on what predicts conversion for you

Learn about ML Intent Scoring

Multi-vendor waterfall for accurate data

One enrichment vendor isn't enough. Coverage gaps, stale data, and missing fields mean missed opportunities. TAM Agent waterfalls across multiple providers for best coverage.

What you get for each contact:

Verified work email

Direct phone (when available)

LinkedIn profile URL

Current title and company

Seniority level and department

Learn about Full Enrichment

Your ads follow your intent signals

Stop targeting "VP Sales at SaaS companies" and hoping. TAM Agent automatically syncs buying committee members from high-intent accounts to LinkedIn Matched Audiences. Your budget goes to people who are actually researching.

Real-time sync:

Audiences update as accounts enter/exit segments

Target specific buying committee personas

Coordinate ads with email/outbound timing

Full attribution back to Warmly signals

Seniority level and department

Learn about LinkedIn Ad Targeting

The right touch at the right time

TAM Agent doesn't just identify who to reach — it orchestrates how and when. Route to reps, let AI send autonomously, or go hybrid.

Routing options:

Route to reps • Assign based on territory, segment, round-robin

AI SDR mode • Let Warmly send sequences autonomously

Hybrid • AI handles initial, reps take over when engaged

Intelligent guardrails:

Respects existing CRM ownership

Won't sequence open opportunities

Coordinates with Inbound Agent (no double-touching)

Learn about Outbound Orchestration

Keep accounts warm until they're ready

Not every high-ICP account is ready to buy today. TAM Agent keeps them engaged with intelligent nurture that adapts based on persona and behavior.

Personalization dimensions:

By persona • Executives vs practitioners vs technical

By stage • Research → evaluation → decision

By behavior • Viewed pricing? Get ROI calculator

Automatic escalation:

Intent crosses threshold → Remove from nurture → Add to sales outbound

Full context passed (what they engaged with, why escalated)

Learn about Nurture Campaigns

Comparison

One Platform vs. Seven Point Solutions

Need

Point Solution

Annual Cost

TAM Agent

Dynamic Audiences

Clay

~$10,000

Included

Clay Agency

Agency retainer

~$24,000-60,000

Not needed

ICP Scoring

Clay + manual

~$12,000

Included

Intent Data

Bombora

~$20,000-40,000

Included

Buying Committee ID

ZoomInfo

~$15,000-30,000

Included

Data Enrichment

Manual process

~$15,000

Included

On-site Chat

Drift/Qualified

~$36,000-120,000

Inbound Agent included

Total

7+ vendors, constant maintenance

$105,000-260,000

One platform

See Warmly Pricing

Comparison

Not a Spreadsheet. Not a Workflow Builder. An Agent That Works FOR You.

Most GTM tools give you data and expect you to act on it. Warmly is different. TAM Agent doesn't just show you who's in-market — it takes action. It identifies the right accounts, finds the buying committee, enriches their contact info, and enrolls them in sequences. You describe what you want. The agent figures out how.

This is the "forward deployed" model: Instead of selling you software and wishing you luck, Warmly's agents actively work FOR your team. Think of it as having a 24/7 RevOps team that never needs a spreadsheet, never takes PTO, and improves over time.

Dimension

Clay / Manual Ops

TAM Agent

Core model

Spreadsheet with superpowers

AI agent that works FOR you

Maintenance

8-15 hours/week

Set and forget

Data freshness

Point-in-time snapshots

Real-time updates

Logic

You build formulas

AI learns from outcomes

Scaling

More accounts = more work

More accounts = same effort

On-site conversion

Need separate tool

Inbound Agent included

Expertise needed

RevOps specialist or agency

Anyone on GTM team

Time to value

Weeks to months

Days

Who does the work?

Your team, constantly

The agents, automatically

Off-Site and On-Site, Working Together

TAM Agent doesn't work alone. It's one half of the Warmly system. Inbound Agent handles on-site conversion. Together, they create a continuous loop.

See how the full system works

Pipeline from same TAM

Less time on list work

Higher reply rate

Results from

000

B2B revenue teams using Warmly (2024-2025)

More Deals, Same Team Size

"Warmly has allowed us to increase our pipeline targets by twenty percent without increasing headcount."

David Chase

Sales Leaders / CROs

Marketing That Converts

"We’ve doubled our average contract value, and our sales team freaking loves using it."

Charles Fox

Marketing / Demand Gen

Revenue Outcomes

"Warmly sourced MQLs closed fifty percent higher and thirty percent faster than our other sources."

Stephanie Armand

RevOps

Built for How You Actually Work

Finally stop being the data janitor

Unified orchestration

One place to manage audiences, enrichment, routing

Self-maintaining data

Audiences refresh daily, enrichment waterfalls automatically

CRM-native

Writes directly to Salesforce/HubSpot with proper formatting

Transparent ML

See why accounts scored the way they did

No agency needed

Configure once, runs forever

Key integrations

See RevOps use cases

ABM at scale without scaling headcount

Dynamic targeting

LinkedIn audiences that update with intent signals

Full-funnel visibility

See which accounts are engaging across channels

Intent-based campaigns

Trigger ads and nurture based on real behavior

Sales alignment

Marketing and sales working the same accounts

Attribution

Know which signals led to pipeline

Key integrations

See Marketing use cases

More pipeline from the same team

Prioritized accounts

Know who to call first, every day

Buying committee maps

All the right contacts, enriched and ready

Multi-threaded outreach

Engage the whole committee, not just one person

Signal-driven sequences

Reach out when they're actively researching

Rep productivity

Less research, more selling

Key integrations

See Sales use cases

See all integrations

Works with your marketing stack

CRM

Sales Engagement

Advertising

Intent Data

Enrichment

Communication

How TAM Agent Actually Works

For the technically curious: TAM Agent is built on an agent architecture, not a workflow engine.

Traditional workflow tools (Clay, n8n, Zapier)

You define every step

You handle errors

You maintain the logic

When requirements change, you rebuild

TAM Agent's agent architecture

You define the goal ("Find high-intent accounts and engage the buying committee")

The agent plans the steps

The agent handles errors and retries

The agent adapts to new data

Key architectural patterns

Context buffering

Collects signals from multiple sources before making decisions, avoiding noisy triggers from single events

Dynamic subagents

Different capabilities (enrichment, scoring, routing) operate as specialized agents the main orchestrator coordinates

Fan-out execution

When processing a high-intent account, simultaneously enriches contacts, updates audiences, triggers sequences — in parallel

Feedback loops

Learns from outcomes (meetings booked, deals closed) to improve scoring and routing over time

Why this matters:Workflow tools break when requirements change. Agents adapt. That's why TAM Agent improves over time instead of accumulating technical debt.

From Zero to Running in a Week

See Everything That Happens to an Account

Book a Demo

An Agent That Works Your Entire TAM — FOR You

The Problems Killing Your GTM Efficiency

Stop building lists. Start defining criteria.

Let AI learn your ideal customer

Find the people who actually make decisions

Know who's ready before they tell you

Multi-vendor waterfall for accurate data

Your ads follow your intent signals

The right touch at the right time

Keep accounts warm until they're ready

One Platform vs. Seven Point Solutions

Not a Spreadsheet. Not a Workflow Builder. An Agent That Works FOR You.

Off-Site and On-Site, Working Together

More Deals, Same Team Size

Marketing That Converts

Revenue Outcomes

Built for How You Actually Work

How TAM Agent Actually Works

From Zero to Running in a Week

Common questions about TAM Agent

FAQ

An Agent That Works Your Entire TAM — FOR You

The Problems Killing Your GTM Efficiency

Stop building lists. Start defining criteria.

Let AI learn your ideal customer

Find the people who actually make decisions

Know who's ready before they tell you

Multi-vendor waterfall for accurate data

Your ads follow your intent signals

The right touch at the right time

Keep accounts warm until they're ready

One Platform vs. Seven Point Solutions

Not a Spreadsheet. Not a Workflow Builder. An Agent That Works FOR You.

Off-Site and On-Site, Working Together

More Deals, Same Team Size

Marketing That Converts

Revenue Outcomes

Built for How You Actually Work

How TAM Agent Actually Works

From Zero to Running in a Week

Common questions about TAM Agent

FAQ

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