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Agentic AI Systems
Autonomous multi-agent systems for complex, multi-step workflows — built with budget controls, audit logs, escalation paths, and human-in-the-loop gates from day one.
Includes:
RAG system architecture
Retrieval-augmented generation grounded in your own enterprise documents
Fine-tuning & adaptation
Domain-specific model tuning on your data, with evaluation and safety testing
LLM orchestration
Multi-model pipelines with routing, caching, fallback logic, and cost control
Multi-agent workflow design
Agents that hand off work to each other and to humans at the right moments
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Typical Engagement
- 8 - 16 weeks to production
- Fixed-scope milestone contracts
- Dedicated senior engineer
- Weekly delivery checkpoints
- 30-day post-launch monitoring
Tech Stack
- OpenAI, Anthropic, Cohere
- AWS Bedrock, Azure OpenAI
- LangChain, LlamaIndex
- Pinecone, Weaviate, pgvector
- Weights & Biases, MLflow
Autonomous multi-agent systems for complex, multi-step workflows — built with budget controls, audit logs, escalation paths, and human-in-the-loop gates from day one.
What we do for clients
- RAG system architecture — Retrieval-augmented generation grounded in your own enterprise documents
- Fine-tuning & adaptation — Domain-specific model tuning on your data, with evaluation and safety testing
- LLM orchestration — Multi-model pipelines with routing, caching, fallback logic, and cost control
- Enterprise chatbots & copilots — Internal tools and customer-facing assistants built for real workloads
- Agent governance & controls — Budget caps, audit logs, and escalation paths so agents stay accountable
- Multi-agent workflow design — Agents that hand off work to each other and to humans at the right moments
Where we fit best
We're the right fit for teams ready to move past a single chatbot pilot into agents that actually execute multi-step work, with the guardrails production requires.
Case Study
How Bivoxo approaches real problems
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FAQ
Common questions, candidly answered
Direct answers to what clients typically ask before a
discovery call - drawn from our first conversations
What's the difference between a chatbot and an agentic AI system?
Agents take actions, chatbots answer questions
How do you ensure agentic systems don't make costly mistakes?
Scoped action permissions, approval layers, audit trails
How long to deploy a multi-agent system?
6–14 weeks depending on complexity
Getting Started
Ready to put Bivoxo's AI to work for you?
Book a free 30-minute discovery call. We'll pinpoint your highest-value AI opportunity and tell you exactly what it takes to build it.
