Real cases and applications · CASES

Begin with change that has happened. Then explore the next job.

Real projects and exploratory directions are shown separately. Every project keeps its factual scope, human decision points and measurement caveats visible.

Real projects · Clients anonymized

Begin with change that has already happened.

These results come from project-owner descriptions. We preserve scope, human review and measurement caveats rather than presenting one outcome as a universal promise.

01E-commerce · Design team

Half a day of repetitive edits became one task instruction.

A user submits an asset package and instructions. The AI employee edits the batch, then a designer reviews the result.

BEFOREPreviously, each file was opened, changed and exported by hand; similar work often took half a day or a full day.

DELIVEREDAI interprets the request, processes the batch and returns the files. The designer decides whether they are ready to publish.

Minutesprocessing time in the delivered workflow

Actual time varies with asset count, complexity and review requirements. This is not a universal SLA for image work.

02E-commerce · Creator operations

Stop searching chat history. Spend the time on content judgment.

A workflow platform organizes submissions and status. AI applies company rules for first-pass screening; operators make the final decision.

BEFOREMaterials and acceptance records were scattered across chats, requiring repeated search, download and manual checking.

DELIVEREDA submission platform and AI screening route questions, exceptions and acceptance decisions back to operators.

About 70%repetitive work reduced, per project owner

The measurement period and scope remain to be documented. It refers only to repetitive work in this project—not headcount or total cost.

More applications

Start with one real job and let the brain grow from there.

RECRUITING LOOP / CURRENT
Begin with change that has happened. Then explore the next job.
RECRUITING / LIVEApplication · Capability status shown

AI recruiting employee

Understands the role, handles unread messages, collects resumes, searches candidates and reports results—continuously, inside quota, schedule and handoff boundaries.

Closed loopobserve → decide → act → verify
GLOBAL SERVICE / NEXTApplication · Capability status shown

AI global support employee

Uses one governed product knowledge base to serve multiple languages, time zones and channels; refunds, complaints and local sensitivities go to regional teams.

Global coordinationDTC · marketplace · social · CRM
OPERATIONS / EXPANDApplication · Capability status shown

AI operations employee

Collects information, enters data and tracks status across browsers, files, Office and business systems, turning repetition into reusable Skill Packs.

Composableone employee keeps learning
Start your enterprise brain

Give AI one real job first.

Tell us who does the work, how it happens, where time is lost, and which decisions must remain human. Together we will define the first entry point, execution boundaries and verifiable success criteria.

sales@substantia.ai · Shanghai · Enterprise AI employee deployment
Real cases and scenarios · Enterprise AI brain · Substantia AI