The InterWeave Automation Platform^AI is built on five distinct layers, each with a defined responsibility. Understanding how they interconnect is the key to understanding why the platform can do what it does — and why stacking AI on top of poor integration infrastructure produces expensive disappointment.
Layer 1: The Connector Ecosystem
Every AI action starts with data. The Connector Ecosystem is InterWeave's library of 200+ pre-built, production-tested connectors spanning Salesforce, HubSpot, QuickBooks, Sage, NetSuite, Stripe, Authorize.net, Shopify, Magento, and dozens of industry-specific systems.
These aren't simple API wrappers. Each connector manages authentication, rate limiting, error handling, field normalization, and schema versioning — so that when an AI SmartAgent asks for a customer's payment history across three systems, it receives a structured, normalized dataset rather than raw API noise.
Layer 2: SmartIntegration — The Intelligence Foundation
SmartIntegration is the connectivity fabric: the layer that handles field mapping, data transformation, routing logic, and event orchestration. This is where the platform earns its AI readiness.
Layer 3: SmartFlows — Orchestration Intelligence
SmartFlows are the business logic layer. They define what happens when data moves — the sequences, conditions, approvals, and branching logic that translate raw data events into business outcomes.
In the Platform^AI, SmartFlows are no longer static configurations. They incorporate contextual awareness: a flow that processes a new customer order can evaluate credit status, check inventory availability, apply regional tax rules, and route for approval — all within a single orchestrated sequence that adapts based on the data it encounters.
Layer 4: FlowCopilot — AI-Assisted Design and Operations
FlowCopilot is the platform's AI-assisted operational layer — the intelligence that helps your team build better flows, identify performance bottlenecks, and monitor integration health without requiring deep technical expertise.
Think of FlowCopilot as the platform's internal advisor: it watches what's running, surfaces anomalies, suggests optimizations, and guides non-technical users through configuration tasks using natural language interaction.
Layer 5: AI SmartAgents — Autonomous Execution
At the top of the stack, AI SmartAgents represent the platform's most advanced capability: autonomous agents that monitor data streams, make decisions, and take action — without requiring human instruction for each step.
Monitor → Detect the triggering event across connected systems
Evaluate → Apply business rules and contextual logic to determine appropriate response
Decide → Select the optimal action path from available options
Act → Execute across one or more connected systems
Log → Write the outcome to the IWSyncRegistry for audit and reporting
The stack isn't five features. It's five disciplines — each one making the layer above it possible.
— Dmytro Zotkin, CIO, InterWeaveAI automation is only as intelligent as the data infrastructure beneath it. InterWeave built the stack in the right order — and that discipline is what makes the Platform^AI more than a marketing term.