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How Moklo Works

Understanding the architecture and workflow of the Moklo platform

Platform Overview

Moklo operates as a three-layer system that transforms prospect data into qualified conversations. The platform ingests lead lists, enriches them with intelligence, orchestrates multi-channel outreach through AI agents, and surfaces qualified opportunities to your sales team.

The Three-Layer Architecture

Layer 1: Intelligence & Enrichment

When you upload a prospect list, Moklo's intelligence layer immediately begins enrichment:

  • • Data validation and normalization (phone numbers, emails, addresses)
  • • Firmographic enrichment (company size, industry, revenue)
  • • Technographic data (tech stack, tools used)
  • • Intent signal detection (recent funding, hiring, technology changes)
  • • Social media and web presence analysis

This enriched data feeds into the AI agents, enabling them to craft highly personalized outreach messages.

Layer 2: Agentic Orchestration

The orchestration layer is where Moklo's AI agents make autonomous decisions:

  • • Channel Selection: Agents determine whether to start with SMS, email, RVM, or a combination based on prospect profile
  • • Timing Optimization: Machine learning models predict optimal send times based on industry, role, and historical engagement data
  • • Message Personalization: AI generates unique messages for each prospect using enrichment data and campaign objectives
  • • Response Handling: Natural language processing analyzes replies and determines appropriate follow-up actions
  • • Escalation Logic: Agents identify high-intent prospects and route them to human sales reps

Layer 3: Execution & Compliance

The execution layer handles the technical delivery of messages while maintaining compliance:

  • • SMS Delivery: A2P-registered phone numbers with carrier-approved messaging
  • • RVM Drops: Direct-to-voicemail technology that bypasses ringing
  • • Email Sending: Dedicated IP addresses with domain authentication (SPF, DKIM, DMARC)
  • • Compliance Monitoring: Real-time checking of opt-out lists, DNC registries, and consent records
  • • Deliverability Optimization: Automatic throttling, reputation management, and bounce handling

Campaign Workflow

A typical Moklo campaign follows this workflow:

  1. 1
    Upload & Enrich: Import your prospect list via CSV, CRM integration, or API. Moklo automatically enriches each record with additional data points.
  2. 2
    Configure Campaign: Set campaign objectives, define your ideal customer profile, and provide messaging guidelines. The AI agents use these parameters to guide their decisions.
  3. 3
    Agent Activation: AI agents analyze each prospect and create personalized outreach strategies. They determine the optimal channel mix, messaging approach, and timing for each contact.
  4. 4
    Multi-Channel Execution: Agents execute outreach across SMS, RVM, email, and voice. They monitor engagement and adapt sequences in real-time based on prospect responses.
  5. 5
    Qualification & Routing: When prospects show interest, AI agents qualify them based on your criteria and route qualified leads to your sales team with full context.
  6. 6
    Continuous Optimization: Agents learn from campaign performance, adjusting strategies to improve response rates and conversion metrics over time.

Integration Points

Moklo integrates with your existing sales stack at multiple points:

CRM Sync

Bi-directional sync with Salesforce, HubSpot, Pipedrive, and other CRMs

Calendar Integration

Direct booking to Google Calendar, Outlook, and Calendly

Webhook & API

Real-time event notifications and programmatic access

Data Enrichment

Connections to Clearbit, ZoomInfo, Apollo, and other data providers

Dive Deeper

Explore the technical details of our agent architecture and sequencing engine.

Agent Architecture →Sequencing Engine →