AI Assistants That Actually Work
Production-ready AI agents built on three pillars: Dynamic Data Modeling, Context Engineering, and AI Orchestration
ChatGPT, Claude, and Gemini aren't single AI models anymore—they're sophisticated software systems with multiple agents working together. Interactor brings this same enterprise-grade architecture to your business, creating AI assistants specific to your needs for maximum revenue impact.
Path to Production-Ready AI
The layers required to achieve 95%+ accuracy
Why Most AI Assistants Fail
Three fundamental problems plague enterprise AI deployments
Inaccurate Results
LLMs are non-deterministic. Without proper orchestration and validation, AI outputs are unreliable for business-critical decisions. Most enterprises delay AI deployment waiting for 'perfect data'—but data is never perfect.
Slow Performance
Enterprise data isn't LLM-ready. Unstructured documents, inconsistent formats, and siloed systems create bottlenecks. Traditional approaches require months of data preparation before seeing any AI value.
Unable to Take Actions
Software integrations require exact, structured instructions—but LLMs produce different outputs every time. They can't handle OAuth flows, manage secure credentials, or reliably format API calls without proper orchestration infrastructure.
The Three Pillars of Production AI
Interactor combines these three disciplines into a unified platform that deploys AI assistants specific to your business needs
Dynamic Data Modeling
Modern AI can consume both structured and unstructured data—as long as they are well modeled. Interactor's dynamic data modeling looks at your data and models it automatically, including indexing, vectorizing, and semantic structuring.
Context Engineering
Context engineering is the discipline of designing dynamic systems that supply an LLM with everything it needs. Interactor curates the optimal tokens during inference—system prompts, retrieved knowledge, tool definitions, and task metadata.
AI Orchestration
Since LLMs are non-deterministic, there needs to be orchestration of AI for each function with validation. Master AIs manage specialized agents that work together—this is how ChatGPT, Claude, and Gemini achieve their remarkable capabilities.
Six AI Orchestration Patterns
Interactor AI deploys the right orchestration pattern for each use case, achieving 45% faster resolution and 60% more accurate outcomes
Sequential
Agents process tasks in a pipeline, each building on the previous output. Ideal for document review, data processing, and multi-stage reasoning.
Parallel
All agents work simultaneously on the same problem, providing diverse insights. Results are aggregated for comprehensive analysis. Fan-out/Fan-in architecture.
Hierarchical
Agents organized in layers where higher-level agents delegate to specialists. Perfect for breaking complex problems into manageable parts with expert sub-agents.
Supervisor
Central orchestrator coordinates all agents with full oversight. Provides audit trails and explainability for compliance-heavy workflows in finance and healthcare.
Adaptive Network
Decentralized collaboration where agents transfer tasks based on expertise. Low-latency for conversational assistants, customer support, and real-time voice interfaces.
Custom Programmatic
Full programmatic control with custom orchestration logic. Enterprise-grade security and compliance for regulated industries with version control and audit logging.
How It Works
From your data to production AI in four steps
Connect Your Data
Connect to your existing systems—databases, documents, APIs, and SaaS platforms. No data migration required.
Dynamic Modeling
Our system automatically analyzes and models your data—indexing, vectorizing, and creating semantic structures.
Configure Agents
Define your use cases and we configure the optimal agent architecture with appropriate orchestration patterns.
Deploy & Scale
Launch your AI assistant with monitoring, analytics, and continuous improvement built in.
Why Interactor AI
Enterprise-ready AI assistants you can deploy with confidence
Business-Specific AI
AI assistants tailored to your specific business needs, targeting use cases with the greatest revenue impact.
No Data Preparation Delay
Stop waiting for 'perfect data.' Our dynamic modeling works with your data as it exists today—structured and unstructured.
Rapid Deployment
Production-ready AI assistants deployed in weeks, not months. See ROI from day one.
Enterprise Security
Enterprise-grade security with OAuth 2.0 authentication, user-level permissions, and complete audit trails.
2,500+ Integrations
Connect to your existing tech stack with native integrations. APIs, databases, cloud storage, SaaS platforms.
Proven Results
45% faster problem resolution, 60% more accurate outcomes compared to single-agent systems.
Use Cases for Maximum Impact
Interactor AI targets the use cases with the greatest revenue impact on your business
Sales Acceleration AI
Accelerate your entire sales process with AI that qualifies leads, automates outreach, generates proposals, and predicts deal outcomes—turning weeks into days.
Marketing Process AI
Automate repetitive marketing tasks that require real-time market adjustments. AI makes judgment calls based on marketing best practices, company guidelines, and market signals—no human bottleneck.
Ad Campaign Optimization AI
Maximize ROAS by letting AI continuously track top-performing ads and automatically reallocate budget to the highest-converting campaigns across all channels.
Customer Support AI
24/7 intelligent support with context from your entire knowledge base. Resolves issues autonomously while seamlessly escalating to humans when needed.
Ready to Deploy AI That Works?
Stop waiting for perfect data. Start seeing AI ROI today with Interactor's production-ready AI assistants.
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