Product Capabilities

ATLAS AI Functionality

The core capabilities that power autonomous, governed AI across your business operations.

ATLAS AI connects data, agents, and systems to sense, decide, and act — continuously and safely.

Capability Framework

ATLAS AI Capability Framework

A structured view of how ATLAS AI senses change, makes decisions, executes work, and improves over time.

Core Principles

Governed autonomy by defaultHuman-in-the-loop controlsContext-aware decision makingSystem-first, agent-driven designSecure & compliant by designBuilt for production environments

Operating System

Agent Lifecycle

Manage agent deployment and updates

Monitoring

Real-time observability and alerts

Security

Enterprise-grade protection

Integration

Connect any system via APIs

Versioning

Safe rollouts and rollbacks

Capability Domains

System Architecture

Behind the Scenes: What Powers ATLAS AI

A layered architecture that separates presentation, business logic, and AI orchestration for maximum flexibility and power.

Presentation Layer
Business LayerBanking, Manufacturing, Construction, etc
Agentic Workflow🤖
LLM

LLM Integration

OpenAI, Anthropic, Google AI, and more

SLM|LLM

ATLAS AI Models

Small + Large models working together

API|MCP

API + MCP

Connect to any system

ATLAS AI Knowledge Graphs

Relationships and context memory

Architecture

A Multi-Layered AI Architecture Built for Production Operations

Presentation Layer

Production planning interface for intuitive schedule creation and scenario comparison.

Business Layer

Manufacturing-specific logic and workflows tailored to production operations.

Agentic Workflow

Orchestration engine coordinating specialized AI agents for intelligent production planning.

Execution Scope

What ATLAS AI Can Act On

ATLAS AI doesn't just recommend actions — it executes them.

👤

CRM Objects

Leads, Contacts, Accounts, Deals

📧

Email

Send, reply, follow-up, log

📅

Calendar

Book, reschedule, manage

Tasks & Activities

Create, assign, track

📣

Campaigns & Journeys

Orchestrate multi-touch

📝

Notes & Timelines

Document and history

🔔

Internal Alerts

Slack, email, notifications

📋

Projects & Tickets

If enabled in your stack

Components

Agentic Workflow Components

Agents

Specialized workers handling job scheduling, machine configuration, vendor coordination, staff management, and scenario planning.

ATLAS AI MODELS (SLM, LLM)

Small and large language models working together for fast scheduling and complex planning decisions.

API + MCP

Connects to your MES, SCADA, ERP, and production systems for real-time data integration.

ATLAS AI KNOWLEDGE GRAPHS

Maps relationships between jobs, machines, vendors, staff, and production constraints for intelligent scheduling decisions.

Human vs ATLAS AI: Cost & Effort

Let's be honest: hiring humans for repetitive tasks is expensive. The goal is to use your people for human work — and let machines handle the repetition.

A Human SDR/AM Typically Costs:

  • ~$6,000/month in salary
  • Weeks or months of training
  • Management and supervision
  • PTO, sick days, life events
  • Burnout after repetitive work
  • Inconsistent follow-up
  • Limited working hours

With ATLAS AI:

A fraction of the cost to handle the same category of tasks — often more consistently.

  • Flexible base plan — add modules as you grow
  • Works 24/7, never gets tired, never forgets
  • Replaces thousands in manual labor costs

You still need humans. You just stop using them as "expensive automation."

TaskHuman Cost (Typical)How That Adds UpWith ATLAS AIWhat Changes
Enrichment~$30/leadSDR/AM on ~$6k/month, spending ~30-45 min per lead researching, cleaning, and logging data.Seconds, not hoursATLAS AI enriches automatically — no manual research needed.
CRM updates~$20/day per rep30-45 min/day spent updating fields, notes, tasks at an effective ~$40/hr fully loaded.$0 (included)ATLAS AI logs activities and updates fields automatically.
Writing emails~$30/hr (easily $3-$5 per good email)Reps spend 5-10 min crafting a decent, personalized email.Pennies per emailATLAS AI drafts and sends at scale with consistent quality.
Calling~$50/hr (plus tooling)Rep cost + dialer + connection time, often with lots of idle time.Fraction of rep costATLAS AI dials, follows workflows, and logs outcomes automatically.
Journey / campaign planningHundreds to thousands per campaignMarketer/manager spending 1-3 days mapping segments, steps, and logic.Minutes, not daysATLAS AI's journey designer assembles and updates sequences quickly.

Rough reality: One human doing all of this easily costs ~$6,000/month+.

ATLAS AI handles the same workload at a fraction of the cost — and it runs 24/7.

Humans build trust. ATLAS AI removes the clutter.

Book a Demo to See Your Custom Pricing
Deep Dive

Core Functional Capabilities

Click any capability domain above to jump to its detailed breakdown below.

Sense & Understand

ATLAS AI continuously monitors your systems, ingesting data from ERPs, CRMs, and operational platforms to build real-time context about your business state.

Capabilities

  • Data ingestion
  • Event monitoring
  • Context building
  • State awareness
  • Anomaly detection

Example

When a large order comes in, ATLAS AI automatically detects the event, pulls relevant inventory levels, checks supplier lead times, and builds a complete context for decision-making.

Real-time visibilityProactive detectionConnected data

Decide & Plan

Using a combination of business rules and AI models, ATLAS AI evaluates options, simulates outcomes, and recommends optimal decisions with full explainability.

Capabilities

  • Rule-based reasoning
  • Constraint optimization
  • Scenario simulation
  • Forecasting
  • Decision explainability

Example

Before scheduling production, ATLAS AI simulates multiple scenarios considering machine availability, staff schedules, and material constraints to find the optimal plan.

Optimized outcomesExplainable AIScenario planning

Act & Execute

ATLAS AI doesn't just recommend — it executes. Agents coordinate to run workflows, update systems, and handle exceptions automatically.

Capabilities

  • Workflow orchestration
  • Multi-agent coordination
  • System actions
  • Task automation
  • Exception handling

Example

When a decision is approved, ATLAS AI creates purchase orders in your ERP, notifies suppliers via email, updates the production schedule, and logs all actions.

End-to-end automationSystem integrationReliable execution

Govern & Control

Every action is governed. ATLAS AI enforces approval workflows, respects role-based permissions, and maintains complete audit trails for compliance.

Capabilities

  • Approval workflows
  • Confidence thresholds
  • Role-based access
  • Policy enforcement
  • Audit logs

Example

High-value purchase orders require manager approval. ATLAS AI routes the request, waits for sign-off, and only executes after proper authorization.

Full complianceHuman oversightComplete audit trails

Learn & Optimize

ATLAS AI learns from every decision and outcome. Knowledge graphs capture relationships, and feedback loops continuously improve performance.

Capabilities

  • Feedback loops
  • Performance tracking
  • Outcome learning
  • Memory & knowledge graphs
  • Continuous optimization

Example

After each production run, ATLAS AI analyzes what worked, what didn't, and updates its models to improve future scheduling accuracy.

Continuous improvementInstitutional memorySmarter over time
Control Levels

Automation vs Approval Control

You choose where ATLAS AI runs autonomously — and where it asks first.

Action TypeExampleControl
Fully AutomaticLead enrichment, loggingRuns automatically
Approval-BasedEmails, proposalsRequires approval
👁️Insight-OnlyRisk alerts, churn signalsHuman decides
Security & Governance

Governed Autonomy & Security

Enterprise-grade controls ensure ATLAS AI operates safely, compliantly, and under your control.

🔐

Access & Control (RBAC)

Role-based permissions ensure the right people have the right access. Define who can view, approve, or modify agent actions.

👁️

AI Safety & Human Oversight

Confidence thresholds trigger human review. High-stakes decisions always require approval before execution.

🛡️

Data Security & Privacy

Enterprise-grade encryption, SOC 2 compliance, and data isolation. Your data never trains public models.

Compliance Ready

Complete audit trails, policy enforcement, and documentation for regulatory requirements.

Governed Decision Loop

Monitor
Decide
Draft
Approve
Execute
Audit
Learn

Use ATLAS AI Alone — Or With Salesforce, HubSpot, Zoho & More

Most CRMs pretend to help productivity, but teams spend more time feeding them than using them.

Old typical day:

A rep finishes a call → Opens the CRM → Updates 9 fields → Adds a note → Creates a task → Schedules a reminder → Forgets half → Feels behind tomorrow.

ATLAS AI flips that script.

New typical day:

A manager builds an outreach strategy → ATLAS AI agents send personalized emails, calls, texts, and nudges → ATLAS AI engages with leads, updates records, and books meetings directly onto your calendar.

You can:

  • Run campaigns
  • Book meetings
  • Track accounts
  • Manage journeys

...without touching Salesforce or HubSpot at all.

Or connect ATLAS AI to your CRM.

When integrated, ATLAS AI automatically handles:

Email logging
Deal stage updates
Task creation
Notes
Contact syncing
Timeline logging
FeatureATLAS AISalesforce / HubSpot / Zoho
Does actual work (research, emails, follow-up)Yes
End-to-end automationYesPartial
Standalone operationYesNo
Predicts churn / upsellYesRequires add-ons
Learns from your processesYesNo
CostVolume-based$500-$2,000/mo
Human workload after setupMinimalHigh

CRMs store information. ATLAS AI gets things done.

View All Integrations
Production Ready

Built for Real Operations

ATLAS AI isn't a prototype or demo — it's built to run 24/7 in production environments.

Production-Grade Execution

Built for 24/7 operations with high availability, fault tolerance, and graceful error handling.

🔄

Real-Time Integration

Bi-directional sync with your systems. Changes in ERP reflect instantly; agent actions update records immediately.

🤝

Multi-Agent Coordination

Specialized agents work together, handing off context and coordinating complex multi-step workflows.

🧠

Layered Intelligence

Fast SLMs for quick decisions, powerful LLMs for complex reasoning. The right model for each task.

From Capabilities to Agents

ATLAS AI functionality is composed into specialized agents. Each agent combines sensing, deciding, acting, and learning for a specific business domain.

🤖

Procurement Agent

Automates vendor selection and PO creation

🤖

Scheduling Agent

Optimizes production and resource schedules

🤖

Pricing Agent

Dynamic pricing based on costs and market

🤖

Inventory Agent

Manages stock levels and reorder points

🤖

BOM Agent

Builds and validates bills of materials

From Capabilities to Industries

The same core ATLAS AI framework powers solutions across industries. Each vertical gets pre-configured agents, domain-specific constraints, and industry-trained logic.

  • Same core capabilities
  • Industry-specific constraints
  • Domain-trained logic
  • Different agent compositions
View Industry Solutions
🏭Manufacturing
🏗️Construction
📦Supply Chain
💰FinOps

Implementation Snapshot

A proven 5-step approach to getting ATLAS AI running in your environment.

1

Design

Map workflows and define agent scope

2

Connect

Integrate with your existing systems

3

Build

Configure agents and business rules

4

Govern

Set approval thresholds and permissions

5

Optimize

Monitor, learn, and continuously improve

Frequently Asked Questions

Success Stories

Real Results, Real Impact

See how leading companies have transformed their operations with Captivix.

Techlithic Solutions Case Study
Featured Case Study
TL

Techlithic Solutions

IT & Digital Products

Captivix has been an outstanding partner. Their team is professional, knowledgeable, and customer-service driven. Their proactive collaborative approach has been critical in helping us build an IT infrastructure that enables our success today and supports our long-term positioning strategy.

Enhanced
Efficiency
Scalable
Infrastructure
Higher
Satisfaction
Read Full Case Study

Ready to see ATLAS AI in action?

Explore our agent library or book a demo to see how ATLAS AI can transform your operations.