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Work

AI Digital Asset Management

A digital asset management workflow that ingests images, manages their metadata, grades each one against a rubric, makes the library searchable, and keeps every version.

Client
Marketing organization
Product
Searchable digital asset library with metadata and version history.
The challenge

An organization needed more than image storage: a way to bring images in, describe them consistently, judge their quality, and find them again later.

What we built

What we built

How the system works, step by step.

  1. Ingest

    Stores each image, extracts its basic information, and creates an asset record.

  2. Metadata

    Title, description, tags, campaign, client, asset type, and other fields, collected and set for every asset.

  3. Grade

    Reviews each image against clear rubric criteria (technical quality, brand and channel fit, potential issues, and an overall score) and suggests tags and descriptions.

  4. Search

    Finds assets by their stored metadata and returns what’s needed to display or download them.

  5. Versions

    A new version uploads without replacing the old one.

Under the hood
  • PostgreSQL
Next
CRM Duplicate Reconciliation AgentAn agent that finds likely duplicate and conflicting records in any CRM export, scores each match, explains its reasoning, and recommends which record to keep, with a person approving every merge.
Contact

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