AI Agents
Autonomous systems that reason, decide, and act. 24/7 operation with minimal supervision for complex workflows requiring judgment.
What are AI Agents?
AI agents go beyond simple automation or single-task AI. They're autonomous systems that can reason through multi-step workflows, make decisions based on context, and take action without constant human oversight.
Think of them as AI employees. They understand goals, break down complex tasks, use tools when needed, and adapt to changing situations. They operate 24/7, handling workflows that traditionally required human judgment.
Common Use Cases
What we build
These are the most common AI agent implementations we build for growing businesses.
Sales Development Agent
Qualify inbound leads, ask clarifying questions, check availability, schedule meetings, and update your CRM. Handles the entire qualification workflow autonomously.
Customer Support Agent
Answer common questions, troubleshoot issues, escalate when needed, and follow up. Provides 24/7 support that feels human while learning from each interaction.
Research Agent
Gather information from multiple sources, synthesize findings, identify patterns, and deliver insights. Perfect for market research, competitive analysis, or due diligence.
Scheduling Coordinator
Understand meeting requirements, check availability across calendars, handle conflicts, send invites, and manage rescheduling. Takes the pain out of complex scheduling.
Our Stack
Technology we use
Agent Frameworks
- →Claude API or OpenAI for agent reasoning and orchestration
- →LangChain / LangGraph for multi-step agent workflows with tool use
- →Pydantic for structured output validation and type-safe data contracts
- →Python for workflow integration, tool access, and custom logic
- →Vector databases (ChromaDB, Qdrant) for memory and context retention
- →Open-source models (LLaMA, Mistral) when data must stay on-premise
Quality Assurance
AI agents require extensive testing. We simulate real scenarios, test edge cases, and build in safety rails to prevent runaway behavior. Human-in-the-loop validation is critical until the agent proves reliable in production.
See our full tech stack and how we build for more on our engineering approach.
Side by Side
Custom Agents vs Chatbot Platforms
| Feature | Custom AI Agent (Syntora) | Off-the-Shelf Chatbot |
|---|---|---|
| Multi-Step Reasoning | Chains tools and decisions across full workflows | Single-turn Q&A or scripted decision trees |
| Tool Use | Calls your CRM, calendar, database, and email APIs directly | Limited to pre-built integrations |
| Context Retention | Vector database memory across conversations | Session-based memory only |
| Customization Depth | Built around your data model and business rules. Full code ownership | Configure within platform constraints |
| Safety & Guardrails | Custom validation, human-in-the-loop, audit trails | Platform-level content filters only |
| Setup Speed | 6-10 week build | Live in days |
Ready for autonomous AI?
Book a discovery call. We'll discuss your workflows and show you where AI agents can operate autonomously with high reliability.
See our tech stack or browse industry-specific agent applications.