Multi Agent System
One of many possible set-ups
Real deployments compose agents sequentially, in parallel, or under a supervisor — with humans approving critical actions before they execute.
A constellation that shares context
Agent
Capabilities
- Agent orchestration with shared context & memory
- Parallel and sequential flows
- Human-in-the-loop approval
- Fallback & escalation paths
- Centralized monitoring and guardrails
Orchestration patterns
Mix specialists for your domain
Customer channel
Talks to users while the rest of the team works in the background.
Finds evidence
Pulls from knowledge bases with citations and permission checks.
Acts in systems
Writes to CRM, tickets, and ERP under policy — never silent side effects.
Reads paperwork
OCR, extraction, and validation before the next agent continues.
Advances deals
Qualify, follow up, and pack briefs for human closers.
Policy gate
Blocks actions that violate retention, PII, or approval rules.
Production-grade stack behind every crew
Agent layer
Voice · Knowledge · Workflow · Document · Sales · Multi-Agent — where customers and employees interact.
Orchestration & reasoning
Agent framework, RAG pipeline, workflow engine, tool calling, guardrails, evaluation & observability.
Model & data
GPT / Claude / Llama, fine-tuned models, vector database, embeddings, structured & unstructured data.
Infrastructure & security
Cloud / on-prem / VPC, encryption, monitoring, CI/CD & autoscaling, compliance controls.
Tech: Agent Orchestration Framework · Shared Memory Store · Message Bus · Guardrails & Monitoring — multi-LLM, no single vendor lock-in.
Compose agents on your existing stack
The same CRM, ERP, telephony, and productivity tools — wired through a shared orchestration layer.
Salesforce
HubSpot
SAP
Microsoft 365
Google Workspace
Twilio
Slack
Microsoft Teams
Jira
Confluence