Aduno
AI Architecture

How Aduno's AI
Actually Works

We designed 7 specialized AI agents so you don't have to manage a single one. They work autonomously to get your integrations live in days, not months.

What happens to your data

The 7 Stages

From raw file to confirmed delivery — what your data goes through every time.

01

Instant Format Recognition

Drop in a sample file from any trading partner — EDI, JSON, CSV, even a PDF. The AI reads it and identifies the format in seconds, no specification document required.

02

Conversational Pipeline Building

Tell the AI where your data comes from and where it needs to go. It designs the full integration pipeline through conversation — no coding, no flow diagrams, no consultants.

03

Intelligent Field Mapping

The AI generates precise field-level transformations through a 7-step verification pipeline. Every mapping is validated before it goes live — line items, tax, shipping, customer data, all accounted for.

04

Continuous Drift Detection

When a trading partner changes their format — a new field, a renamed column, a different date format — the AI detects the change automatically and remaps without you lifting a finger.

05

Order Intelligence

The AI learns what normal looks like from your order history. Unknown SKUs, unusual quantities, price mismatches — flagged for review before they reach your system. No rules to configure. It just learns.

06

Autonomous Document Processing

Every document flows through a full pipeline: validate, enrich, map, deliver, confirm. Each step is logged with timing and status. You see everything; you manage nothing.

07

Intelligent Error Recovery

When a destination system rejects a document — an invalid product code, a missing account, a format mismatch — the AI analyses the error and presents you with clear options: fix the issue and retry, deliver with modifications, or reject. You decide, the system executes. No silent data changes, no guesswork, no documents lost in limbo.

For the technically curious

The Agents Behind the AI

For the technically curious — here's what's running under the hood.

The architecture decision

Why Specialized Agents,
Not One Big Model

Speed

Each agent has a single job. Mapping runs in milliseconds, not minutes.

Reliability

No single point of failure. If mapping needs a retry, drift detection still runs.

Cost

The right model for each job. No bloated API bills from sending everything to the most expensive model.

See it in action.

Book a 20-minute call and we'll show you the AI building a real pipeline.