Modern business processes often span multiple systems, steps, and approvals. Satoripop's Agentic AI approach breaks these into specialist agents—each responsible for one task—and coordinates them through standardized protocols like MCP and A2A.
This lets you automate workflows end‑to-end, with built‑in error handling, auditing, and human fallback.
Seamlessly connect across disparate platforms
Intelligent escalation when human judgment is needed
Customer Request
Incoming via chat
"I need to change my booking to next Tuesday"
Intent Classification
Booking Retrieval
Booking API
Resolution
Completed in 2.3 seconds
"Your booking has been changed to Tuesday, May 5th at 2:15 PM. Confirmation #RT78901."
Our agentic AI solutions create intelligent systems that work together to automate complex business processes.
Central Controller
Assigns tasks, tracks progress, and triggers retries or human handoffs when needed.
Classification Agents
Tag and route requests
Data‑Fetch Agents
Query systems via MCP
Action Agents
Call APIs to execute tasks
Escalation Agents
Monitor SLAs and alert humans
CRM-Fetch Agent
"Each agent is designed for a specific task, making the system modular and easy to maintain."
Dynamic Discovery
Agents discover and call on each other dynamically, sharing "agent cards" with capability, input, and security constraints.
AI agents that can handle complex business processes from end to end, making decisions based on business rules and adapting to changing conditions.
Systems that coordinate multiple AI agents and human workers to complete complex processes efficiently and with minimal supervision.
Collaborative networks of specialized AI agents that work together to solve complex problems and achieve business objectives.
Advanced automation that can handle unstructured data, make judgments, and adapt to exceptions—going far beyond traditional RPA capabilities.
AI systems that can make complex business decisions based on multiple data sources, business rules, and optimization criteria.
Our expertise in agentic AI delivers real business value.
Early pioneers in multi‑agent AI—deploying agent‑of‑agents workflows since 2024
2+ years of production experience
Protocol experts in MCP & A2A for vendor‑neutral interoperability
Works with any AI model or vendor
Built‑for‑production: each workflow includes error handling, retries, and human‑in‑the‑loop controls
Enterprise-grade reliability
Rapid iteration: change or extend agents without touching core logic
Modular design for easy updates
Full visibility: trace every agent step in Datadog/Azure Monitor
Complete audit trail of all operations
