Operate Autonomously

Agents run the daily work. Your team runs the agents.

Your team conducts. Your agents drive. The daily work — onboarding, enrichment, validation, publishing — runs continuously, while your people set the brief and step in on the exceptions.

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Automate Product Workflows-1

API-first

MCP-native

LLM-neutral

MACH certified

EU AI Act-ready

The new reality

What does an agentic PIM workflow look like?

Supplier data comes in, gets enriched, validated and published while your team watches the dashboard.

The agents handle

  • Ingesting and mapping supplier feeds, whatever the format
  • Filling and enriching attributes
  • Checking everything against your rules
  • Publishing to every channel

Your people handle

  • Deciding the goals
  • Setting the standards and the brief
  • Approving the exceptions
  • Owning brand voice and the calls that need judgment

Why this isn't the AI you already have

What makes an agentic PIM different from the AI already built into my PIM?

Most PIMs now have AI that drafts, flags or proposes and a human still clicks. The work is faster, but it's still being done one click at a time.

WHAT YOU HAVE TODAY

AI that suggests

Drafts, flags, proposes. A person still clicks.

WHAT AGENTIC MEANS

Agents that act

Onboard, enrich, validate, publish. The work gets done.

Real automation means the work runs without anyone steering it through — agents that act, not features that suggest.

Here's the work that now handles itself:

Supplier onboarding

Feeds in any format — PDF, CSV, EDI — ingested and mapped automatically. Or suppliers contribute through a self-serve portal, with AI doing the mapping alongside them.

Enrichment

Attributes filled, descriptions drafted, gaps closed — continuously, across every market.

Validation

Checked against your rules as it happens, not in a periodic QA cycle after the fact.

Publishing

Channel-ready output, shaped per channel, in sub-minute time — not a release project.

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the agentic PIM

700+

Task-level endpoints. Surgical, granular, idempotent.
UI / API parity

100%

Every UI operation has a machine-callable equivalent.
Agent protocol

MCP Native

Claude, ChatGPT, Cursor and custom agents.
Certification

First MACH PIM

Composable, headless, cloud-native, API-first.

Agents drive, humans govern

How do you keep control when agents run the work?

The worry with automation is handing over a process you're still accountable for. So control is built into how the agents work.

  • Every action an agent takes is logged, validated and traceable
  • The rules stay yours: agents work inside them, never around them
  • Anything unusual comes back to a person automatically
  • Nothing reaches a channel until it's been checked

At a certain catalogue size, manual operations stop being viable — not just slow, but economically unsustainable. Agents change that equation. We can walk through what it looks like for your volume.

Talk to the team →

Structured product model

Machine-readable surfaces

Schema validation

Channel-specific transforms

AI Agent

Two-Layer API

700+ task-level APIs

Native MCP

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See what your team could be doing instead.

A short conversation about where the work goes today — and what changes when it runs itself.