Agentic AI Orchestration
Empower automation with intelligent, autonomous AI agents that collaborate with humans, systems, and data in real-time.
At Smartomate, we believe true digital transformation happens when structured process automation is complemented by adaptive, reasoning AI. Our approach to agentic AI orchestration brings together Large Language Models (LLMs), decision agents, and domain-specific knowledge to create dynamic systems that understand, decide, and act—always with humans in the loop.
Services
We design and implement AI-driven orchestration layers that augment your processes with intelligence and autonomy:
- AI Agent Architecture & Design
Planning and developing modular agents for search, data enrichment, decision support, and conversational interaction. - LLM Orchestration
Integrating GPT-4, Claude, Gemini, or open-source LLMs with contextual grounding, memory, and tooling. - Retrieval-Augmented Generation (RAG)
Custom pipelines for sourcing enterprise data (email, docs, CRM, ERP) into smart assistant agents. - Process-Aware AI Agents
Embedding agents into workflows (BPM, RPA, ERP) to handle variability, suggest optimizations, or automate subtasks. - Multi-Agent Systems
Designing agent collectives that collaborate on complex objectives with role-based logic and adaptive planning. - Agent Monitoring & Human-in-the-Loop Control
Governance frameworks for safety, escalation, oversight, and traceability in agent behavior.
Tools & Platforms
We leverage a robust stack of AI, orchestration, and data tools to build trustworthy, explainable agentic systems:
- LLM Platforms:
OpenAI GPT, Claude, Mistral, LLaMA, AWS Bedrock - Agent Frameworks:
LangChain, CrewAI - Data Integration & Vector Stores:
Pinecone, Chroma - Monitoring & Safety:
Prompt Engineering, Tool Use Restrictions, Guardrails, Token Auditing