AI Agent Modules

ATLAS Agents

Modular AI Agents Built to Execute Business Workflows — Not Just Assist Them

ATLAS Agents are pre-built, task-specific AI agents designed to observe signals, apply intelligence, and take action across your business.

Modular & ComposableEnterprise-ReadyAlways-On Execution
“Teams use ATLAS Agents to automate execution, not just insights.”
Understanding Agents

What Is an ATLAS Agent?

An ATLAS Agent is a purpose-built AI worker focused on one responsibility inside a business workflow.

Each agent is designed to:

  • 📡Continuously monitor relevant data and signals
  • 🧠Apply domain-specific logic and context
  • Execute actions across connected systems
  • 📈Learn from outcomes to improve future decisions

What ATLAS Agents are not:

  • Not chatbots
  • Not static automations
  • Not prompt-based tools

They are always-on operators built for execution.

Why Choose ATLAS

Why ATLAS Agents

Compared to Typical “AI Assistants”

Others

Most AI Tools

  • Assist humans after something happens
  • Operate in isolation
  • Require manual prompting or review
ATLAS

ATLAS Agents

  • Act before opportunities or risks are missed
  • Share context across agents and workflows
  • Run continuously with configurable autonomy
“ATLAS is designed for teams that want outcomes, not more dashboards.”
Agent Organization

How ATLAS Agents Are Organized

ATLAS Agents are grouped into Industry Modules and Business Function Modules, allowing teams to deploy agents based on real operating models.

1️⃣Deploy a single agent📦Deploy an entire module🔗Combine agents across modules

You don't need everything at once. Most teams start with high-impact agents and expand.

Business Function ATLAS Agent Modules

These agents support cross-functional execution across revenue, service, delivery, and growth.

Sales Intelligence

4 agents
Sales Forecasting AgentDeal Closing AgentProposal & Negotiation AgentReal-Time Signal Detection AgentSales Forecasting AgentDeal Closing AgentProposal & Negotiation AgentReal-Time Signal Detection Agent

Customer Service

4 agents
Self-Service Chatbot AgentAI Call AgentTicket Routing & Case Management AgentAuto-Response Generation AgentSelf-Service Chatbot AgentAI Call AgentTicket Routing & Case Management AgentAuto-Response Generation Agent

Marketing & Biz Dev

12 agents
Lead Discovery AgentLead Enrichment AgentLinkedIn Outreach AgentJourney Design AgentPersonalized Messaging AgentAuto Dialer AgentInteractive Engagement AgentGTM Strategy AgentMarketing Asset Management AgentEmail Campaign AgentAuto Scheduler & Calendar AgentMarketing Analytics & Optimization AgentLead Discovery AgentLead Enrichment AgentLinkedIn Outreach AgentJourney Design AgentPersonalized Messaging AgentAuto Dialer AgentInteractive Engagement AgentGTM Strategy AgentMarketing Asset Management AgentEmail Campaign AgentAuto Scheduler & Calendar AgentMarketing Analytics & Optimization Agent

Account Growth

3 agents
Upsell & Cross-Sell Recommendation AgentAccount Health Monitoring AgentDeal Acceleration AgentUpsell & Cross-Sell Recommendation AgentAccount Health Monitoring AgentDeal Acceleration Agent

Project Management

8 agents
PM Autopilot AgentExecutive Briefing AgentCapacityIQ AgentRisk Radar AgentProject Budgeting AgentEstimate Builder AgentProposal Builder AgentProject Plan Generation AgentPM Autopilot AgentExecutive Briefing AgentCapacityIQ AgentRisk Radar AgentProject Budgeting AgentEstimate Builder AgentProposal Builder AgentProject Plan Generation Agent

Opportunity Management

8 agents
Opportunity Creation AgentPipeline Tracking AgentStage Progression AgentDeal Value Intelligence AgentOpportunity Scoring AgentSales Ownership & Attribution AgentOpportunity Insight & Summary AgentWin/Loss Analysis AgentOpportunity Creation AgentPipeline Tracking AgentStage Progression AgentDeal Value Intelligence AgentOpportunity Scoring AgentSales Ownership & Attribution AgentOpportunity Insight & Summary AgentWin/Loss Analysis Agent
🤔Not sure which agents to start with?Explore the Pilot Programme
Key Differentiator

Multi-Agent Coordination

Most competitors talk about “AI agents” but operate them in silos. ATLAS Agents work together.

Agent Composability: Agents can be combined across modules to form end-to-end workflows — for example, a signal detection agent triggering a sales intelligence agent, followed by an outreach or execution agent.

🔗

Share Context

Share context across workflows and data sources

Trigger Automatically

Trigger downstream agents automatically based on outcomes

📈

Learn Collectively

Learn collectively from outcomes to improve over time

Typical Execution Loop

Signal Detection
Intelligence
Action
Feedback
Optimization
Deployment Model

Deployment & Autonomy Model

ATLAS Agents are designed for real-world environments. You control what agents do, when they act, and how they escalate.

🎛️

Full or Guided

Deploy agents with full autonomy or human approval

⚙️

Custom Rules

Configure execution rules and thresholds

🔌

Integrate

Integrate with existing systems and data sources

📊

Scale

Scale agents without scaling headcount

Enterprise Ready

Security, Governance & Enterprise Readiness

ATLAS Agents are built with enterprise-grade control in mind. Security models can be tailored based on industry, compliance, and deployment requirements.

🔐

Access Control

Role-based permissions and scoped system access

📋

Data Governance

Controlled data usage and configurable retention

👁️

Auditability

Visibility into agent actions, outputs, and decisions

🛡️

Isolation

Agents operate within defined boundaries and workflows

Who It's For

Who ATLAS Agents Are Built For

ATLAS Agents are used by teams that want execution, not experimentation.

📈Sales & Revenue Leaders🎯Marketing & Growth Teams⚙️Operations & Delivery Teams📋Project & Program Managers🏭Industry Operators

If a process involves signals, decisions, and actions, an ATLAS Agent fits.

Important: ATLAS Agents are not designed for experimentation or standalone chat use cases. They are built for teams looking to automate real execution inside live workflows.

Agent Availability & Customization

ATLAS Agents are continuously expanding. Some agents are production-ready, while others may be configured or customized based on workflow, data, and industry requirements.

Production ReadyCustomizableRoadmap Active
Success Stories

Real Results, Real Impact

See how leading companies have transformed their operations with ATLAS.

Case Study Banner
Featured Case Study
TC

TechCorp

SaaS Company • 200+ employees

“ATLAS completely transformed our revenue operations. What used to take our team 40 hours per week now takes just 10. The AI handles all the repetitive follow-ups, data entry, and lead enrichment.”

75%
Less Admin Time
3x
Meeting Bookings
$2M+
Pipeline Generated
Read Full Case Study
BR

BuildRight Construction

Construction

Automated vendor follow-ups and RFQ tracking across all projects.

20 hrs
saved per week
Read more
FG

Finova Group

FinTech

Enriched leads instantly and automated personalized outreach sequences.

3x
pipeline velocity
Read more
MH

MedHealth Solutions

Healthcare

Streamlined patient onboarding and reduced administrative overhead.

50%
faster onboarding
Read more
Client Reviews

What Our Clients Say

Hear directly from the leaders who've transformed their businesses with ATLAS.

It feels like having an extra teammate that never gets tired. Our follow-up rate went from 40% to 95%. We’re closing deals we would have lost before.

SJ

Sarah Johnson

VP Sales, TechCorp

We stopped losing deals to slow follow-ups. ATLAS keeps every opportunity moving without us having to chase. Our team can focus on closing, not admin.

MR

Mike Rodriguez

CEO, BuildRight Construction

The ROI was obvious within 30 days. We’re booking 3x more meetings with the same team size. ATLAS pays for itself many times over.

AL

Amanda Lee

Head of Growth, Finova Group

We tried three other automation tools before ATLAS. Nothing else could handle our complex workflows. This is the real deal.

JP

James Park

COO, MedHealth Solutions

Get Started

Start Where It Matters Most

You don't need to deploy every agent. Most teams follow this path:

1

Start with 1-3 high-impact agents

2

Prove ROI in live workflows

3

Expand into additional modules

FAQ

Frequently Asked Questions