Custom AI Agents & Assistants

Build intelligent AI agents that understand your business, automate complex workflows, and scale your team's capabilities—powered by Claude, GPT, and open-source LLMs.

Generic AI Tools Don't Understand Your Business

Off-the-shelf AI assistants lack context, make mistakes, and can't access your internal systems

❌ Generic Responses

ChatGPT and generic assistants don't know your products, processes, or company knowledge

🔒 Data Privacy Concerns

Sending customer data to third-party AI APIs creates compliance and security risks

🚫 No System Integration

Generic AI can't take actions—can't update your CRM, query databases, or automate workflows

Custom AI Agents Tailored to Your Business

Purpose-built AI agents that know your domain and take action

🧠 RAG-Powered Knowledge

Agents grounded in your documentation, knowledge base, and internal data—accurate, hallucination-free responses

  • Vector database integration (Pinecone, Weaviate)
  • Semantic search across your documents
  • Source attribution and citations

🔧 Tool Integration

Agents that take action—query databases, update CRM, send emails, trigger workflows

  • Function calling for API integrations
  • Database queries and updates
  • Slack, email, and notification systems

🤝 Multi-Agent Systems

Orchestrate specialized agents working together—each expert in their domain

  • Agent collaboration and delegation
  • Workflow orchestration (LangGraph, CrewAI)
  • Specialized agents for complex tasks

🔐 Private & Secure

Self-hosted LLMs or private API deployments—your data never leaves your infrastructure

  • Open-source models (Llama, Mistral)
  • Private Azure OpenAI deployments
  • Complete data sovereignty

Real-World AI Agent Applications

💬 Customer Support Agent

AI assistant that handles tier-1 support, escalates complex issues, and updates tickets automatically

Result: 70% ticket deflection, 24/7 support, faster response times

📚 Internal Knowledge Assistant

Search company docs, policies, and codebases with natural language—instant answers for employees

Result: Reduce onboarding time by 50%, instant policy lookups

📄 Document Processing Agent

Extract, classify, and process documents—invoices, contracts, resumes—with structured data output

Result: Hours of manual data entry → seconds of automated extraction

🔍 Research & Analysis Agent

Gather information from multiple sources, synthesize insights, and generate reports

Result: Market research in minutes, not days

💼 Sales & Lead Qualification

Engage leads, qualify based on criteria, schedule meetings, and update CRM automatically

Result: More qualified demos, sales team focuses on closing

⚙️ DevOps Assistant

Natural language infrastructure queries, automated incident response, and deployment assistance

Result: Faster troubleshooting, reduced MTTR

Technologies & Frameworks

LLM Providers

Claude (Anthropic), GPT-4 (OpenAI), Llama 3, Mistral, Mixtral

Agent Frameworks

LangChain, LangGraph, CrewAI, AutoGPT, Semantic Kernel

Vector Databases

Pinecone, Weaviate, Qdrant, pgvector, ChromaDB

Deployment

Docker, Kubernetes, AWS Lambda, FastAPI, Streamlit

Ready to Build Your Custom AI Agent?

Book a consultation to discuss your use case and design a custom AI solution

30-minute call to explore AI agent possibilities for your business

Frequently Asked Questions

How accurate are custom AI agents?

With RAG (retrieval-augmented generation), agents achieve 95%+ accuracy by grounding responses in your actual data. Significantly better than generic ChatGPT responses.

What's the typical development timeline?

Simple agents (knowledge Q&A): 1-2 weeks. Complex multi-agent systems with integrations: 4-8 weeks. POC/demo usually ready within 1 week.

Do I need to use OpenAI/Anthropic APIs?

No. Open-source models (Llama 3, Mistral) can be self-hosted for complete data privacy. For best performance, private Azure OpenAI deployments keep data in your tenant.

What's the ROI of custom AI agents?

Customer support agents: 70% cost reduction. Knowledge assistants: 10+ hours/week saved per employee. Document processing: 95% time savings vs. manual entry. Typical payback period: 3-6 months.