SaaS AI Development Platform

Build Powerful Agentic AI
Your Own AI Assistant

Build or bring your own AI assistant with Interactor's General Purpose Agentic AI Engine. Connect agents to data sources, tools, and custom workflows. From day one productivity to enterprise-scale multi-agent systems.

BYOA
Build Your Own Agent
Simple
Connect & Instruct
Multi-
Agent Framework
Day 1
Useful from Start
Contact Sales
SaaS AI Assistant
Learning
Enterprise Ready
Customer Expertise Data
Marketing manager's workflow: "We segment B2B leads by company size first, then industry. Enterprise deals need technical validation in phase 2. Our best converting campaigns target decision-makers on Tuesdays with ROI-focused content."
Data Modeling Engine
• Converting expertise into structured data models
• Generic prompting system with data-driven intelligence
• Multi-tenant customer workflow modeling
SaaS AI Assistant Response
"Based on your segmentation data and industry patterns:"
Target 5K-50K employee companies first (47% higher conversion)
Schedule technical calls on Tuesdays for enterprise deals
Use ROI calculator as gate between phases 1 and 2
Data Sources + AI Assistant
• Customer workflow data → Marketing intelligence
• Industry expertise data → Best practice recommendations
• Performance metrics → Optimization suggestions
Generic AI + Modeled Data = Customer-Specific Intelligence
Data Modeling
Platform: Multi-tenant SaaS
Intelligence: Customer-Specific
Data Marketplace
Expertise sharing
AI Assistants
Generic + Data-driven

General Purpose Agentic AI Engine

Focus on your agents - the rest is built into the system. Agent-to-agent interaction, multi-agent frameworks, and integrated components for powerful AI automation.

BYOA - Build/Bring Your Own Agent

Build agents within the platform or connect external agents. Select agents to use with integrated profiles, tools, instructions, data sources, and model configurations.

Connect and Instruct

Simple 3-step process: Select your agent, connect to your data sources, and instruct what to do. Create automations with integrated tools and workflows.

Integrated Components

Prompt from chat interfaces (MS Teams, Slack), connect tools through MCP, choice of agents and LLMs, validated external integrations, AIoT ready, event handling, and token management.

Agentic AI Development Made Simple

Focus on your agents - the rest is built into the system. Multi-agent frameworks, integrated components, and powerful automation capabilities for enterprise-scale AI deployment.

Multi-Agent Framework

Built-in agent ecosystem with workflow agents and integrated workflow design. Agent-to-agent interaction for complex multi-step automations.

MCP Protocol Integration

Connect your tools through Model Context Protocol (MCP). Validated external integrations with 2,500+ native app connections ready to use.

Choice of Agents and LLMs

Use any LLM - open source, open weight, or proprietary. Build or bring your own agents with flexible model configurations and data sources.

Event & Notification Handling

AIoT ready platform with event handling, token management, and notification systems. Perfect for automated workflows and smart responses.

ai_assistant_config.js
// Configure AI Assistant for SaaS
const assistant = new InteractorAI({
  apiKey: 'GET_API_KEY',
  
  // Multi-tenant configuration
  tenant: {
    id: 'enterprise_customer',
    context: 'project_management_saas',
    customData: userBusinessContext
  },
  
  // Domain-specific training
  training: {
    industry: 'project_management',
    customWorkflows: projectWorkflows,
    businessLogic: customRules
  },
  
  // Integration with your platform  
  integration: {
    apiEndpoints: yourApiRoutes,
    authentication: ssoConfig,
    permissions: userRolePermissions
  }
});

// Deploy contextual AI experiences
await assistant.deploy({
  features: [
    'intelligent_project_insights',
    'automated_task_recommendations', 
    'predictive_timeline_analysis',
    'smart_resource_allocation'
  ]
});

// Results: 3x engagement, 75% cost reduction ✅

Transform Your SaaS Business Model

See how AI assistant development impacts key business metrics

Business Impact

Customer Engagement +3.2x
AI-powered features increase daily active usage and session duration significantly
Support Cost Reduction -75%
AI assistants handle routine queries, freeing support teams for complex issues
Customer Retention +45%
Personalized AI experiences reduce churn and increase customer satisfaction
Revenue per Customer +2.8x
AI-driven insights lead to higher tier adoptions and feature utilization

Development Investment

Traditional AI Development
AI/ML team (3 engineers × 8 months) $260K
Infrastructure and training costs $140K
Ongoing maintenance and updates $180K/year
Total first year $580K
Using Interactor AI Platform
Development & Setup (4 weeks) $50K
License subscription $80K/year
Maintenance and Support $24K/year
Total first year $154K
Total Savings
$426K
73% cost reduction + 6 months faster launch
Real-World Applications

Real-World AI Assistant Examples

From marketing automation to system administration, see how specialized AI assistants transform business operations with domain-specific intelligence.

Marketing Agent

Connected to knowledge DB, marketing metrics, and cloud drive. Handles daily reports, advertisement rebalancing, and customer analysis across platforms.

  • • "Generate daily report for customer A"
  • • "Rebalance advertisement spend for customer B"
  • • "What was ROAS for customer D in Japan?"

Note Taking Agent

Integrated with notes database, email, and calendar systems. Automates meeting summaries, TODO management, and team collaboration workflows.

  • • "Turn meeting notes into bulleted summary with next steps"
  • • "Send Marketing Strategy Draft to my team via email"
  • • "Monitor notes for TODOs and add them to calendar"

System Administrative Agent

Connected to system databases and infrastructure monitoring. Handles error analysis, deployment management, and automated system optimization.

  • • "Summarize error logs from the last 24 hours"
  • • "Automatically restart failed services"
  • • "Rollback deployment if error rates exceed 5%"

Start Building Agentic AI Today

Join enterprises using Interactor's General Purpose Agentic AI Engine to build powerful multi-agent systems and intelligent automation workflows.