By Logesh Velu, UiPath Community MVP
TL;DR: This post breaks down a practical, product-aligned way to explain UiPath’s agentic automation stack. It maps seven capability layers—from context grounding to human experience—onto real UiPath components (Context Grounding, Integration Service, Maestro, Autopilot, Agent Memory, AI Trust Layer, Apps/Action Center). This is a community explanation, not official documentation.
Why this matters
Enterprise AI fails when it’s a pile of point tools. UiPath’s approach is different: agents, robots, and humans working together on one governed platform. The model below explains how those parts come together so you can position use cases, design solutions, and answer “what happens next?” in customer conversations.
The 7 Layers (product-aligned)
1) Perception Layer — The foundation of understanding
- Connects AI, apps, and data sources via Context Grounding
- Normalizes context for any agent or model
- Keeps every interaction aware of “who, what, and why”
2) Context Layer — The bridge across systems
- Establishes secure, standardized communication via Integration Service
- Connects UiPath Robots, LLMs, and external APIs
- Uses shared context to enable real-time reasoning
3) Orchestration Layer — The brain that coordinates action
- Routes tasks between agents, robots, and workflows via Maestro
- Chooses the right executor (Robot, Agent, Human)
- Enables cross-system transactions with traceability
4) Reasoning Layer — The mind behind decisions
- Interprets goals from natural language
- Evaluates multiple paths using logic & history
- Supports multistep reasoning with Autopilot
5) Learning Layer — The memory of experience
- Captures feedback from each run via Agent Memory
- Learns from context, outcomes, and success patterns
- Refines decisions through human feedback loops
6) Compliance Layer — The guardian of governance
- Applies enterprise policies via the AI Trust Layer
- Monitors security, PII, and ethical boundaries
- Ensures every agent interaction is enterprise-safe & auditable
7) Experience Layer — The visible result
- Presents insights to humans in UiPath Apps, Autopilot, or Action Center
- Delivers conversational experiences powered by context
- Turns complex automation into simple interactions
Quick reference (cheat sheet)
| Layer | Primary Value | UiPath piece you’ll use |
|---|---|---|
| Perception | Business context for AI | Context Grounding |
| Context | Secure connectivity | Integration Service |
| Orchestration | Multi-actor coordination | Maestro |
| Reasoning | Multistep decisions | Autopilot |
| Learning | Continuous improvement | Agent Memory |
| Compliance | Trust & governance | AI Trust Layer |
| Experience | Human outcomes | Apps / Autopilot / Action Center |
What story this tells (in one minute)
- Start with real context (Perception + Context).
- Plan & route work intelligently (Reasoning + Orchestration).
- Improve with feedback (Learning) — without losing control (Compliance).
- Deliver simple, human experiences (Experience).
This is how UiPath agents, robots, and people operate together as a single, governed system.
FAQs I get a lot
Is this official architecture?
No—this is a community framework that aligns with UiPath products and docs. It’s meant to help explain the platform clearly in customer and community discussions.
Where does MCP fit?
MCP is a protocol some agents can use in the Context/Connection area. It’s not an “intelligence layer.” UiPath supports MCP alongside Integration Service and other connectors.
Do I need all seven for value?
No. Many teams start with Perception + Orchestration + Experience, then add Learning and stronger Compliance policies as they scale.
When to use this model
- Customer workshops: to clarify “what’s doing what”
- Solution design: to plan handoffs across agents/robots/humans
- Governance conversations: to show where AI Trust Layer applies
- Ops readiness: to map run-time feedback into Agent Memory
Call for feedback
I’d love to sharpen this further with real examples from your projects:
- Which layers helped the most (or least)?
- Where did governance or learning loops make/break outcomes?
- What artifacts (diagrams, templates) would help you adopt this faster?
Author: Logesh Velu (UiPath Community MVP)
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Tags: #agentic-automation #agents #autopilot #maestro #ai-trust-layer #action-center #integration-service #context-grounding #agent-memory
Note: This is a community explanation for educational purposes. Product names and capabilities referenced are based on publicly available UiPath materials and align with how solutions are implemented in practice.