AI BRAIN SYSTEM / ONLINE

Give your enterprise
an AI brain that gets work done

Start with one job your team repeats every day. It understands the goal, remembers the business, calls specialist skills, works in real software, and returns an outcome people can review.

Start from real work
Enterprise memorySkill PacksBusiness tools
Deliver outcomes continuously
01
One job
begin with frequent, repetitive work whose outcome can be verified
02
Two paths
hand off one workflow to AI, or build the business system and AI together
03
End-to-end
evidence from task input and execution through review and human handoff
Start from real work · Validate with company samples · Keep people in control
Everyday work · REAL OPERATIONS

How much of a busy day is spent doing the same thing again?

The best entry point for AI is often not a grand transformation plan. It is the sentence teams repeat every day: ‘We have to do this all over again.’

01

Another round of image edits

When a campaign changes, designers reopen, edit and export every asset one by one.

02

Files scattered across chats

Submissions, revisions and decisions live in threads, forcing operators to search, download and check repeatedly.

03

Data copied by hand again

Several platforms and spreadsheets must be reconciled and copied into the same report every time.

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 than a chatbot

Enterprises do not need more AI tools. They need an action brain that turns intent into outcomes.

PRODUCT DEFINITION / 01

A general AI employee combines a persistent identity, executive brain, partitioned memory, enterprise policy, Skill Packs, applications and execution resources. People see one employee with many abilities; underneath is a versioned, isolated system that loads only what each task needs.

AI EMPLOYEE=BRAIN + MEMORY + SKILLS + TOOLS
Product system

One persistent AI employee. One enterprise brain that keeps evolving.

The employee is not tied to one app or one machine. Its executive brain understands goals, Skill Packs provide expertise, and governed tools complete the work.

01 / IDENTITYPersistent identity · Enterprise rules

General AI employee

A digital employee the enterprise owns and manages, with a role, schedule, goals, permissions and long-term memory. It is not a Windows machine or a platform account.

01EXECUTIVE BRAIN

Unified executive brain

Understands enterprise goals, prioritizes work across skills, selects tools and accounts, evaluates risk, and verifies every outcome.

02SKILL PACKS

Specialist skills, installed on demand

Candidate conversations, resume collection, support Q&A and after-sales workflows are independently versioned and loaded per task.

03TOOLS & RUNTIME

Real work across real tools

The brain routes tasks to visual desktop automation, a governed browser or an official API. BOSS, Liepin, WeChat and ERP are tools—not employees.

! One employee is not one giant prompt.
Each task loads only the skills, knowledge, account and permissions it needs. Recruiting memory never leaks into support, tenants never cross, and desktop writes stay strictly serialized.
Continuous operating loop

Every action begins with observation and ends with evidence.

The brain never tosses a task to a script and looks away. After every atomic action the runtime observes again and verifies; anomalies, risk signals or human input immediately alter the next step.

01

Observe

Read screens, pages, messages, files and system events.

→
02

Understand

Turn raw signals into contextual business facts.

→
03

Decide

Use goals, rules, quotas and risk to select the next step.

→
04

Act

Call an authorized tool for one minimal atomic action.

→
05

Verify

Use post-action evidence to confirm the outcome.

→
06

Supervise

Record, recover or hand off, then decide again.

↺CONTINUOUS LOOP
Two delivery paths

Different workflows need different paths to production.

We do not assume every problem needs an agent or a platform. We first understand the work, then choose the shortest reliable path.

01Existing process · Clear task

Let AI take over a repeatable segment

Structure the repeatable steps, then combine AI, rules and tools behind one clear task entry point.

For example: batch image edits, document preparation and reporting
02Scattered material · Manual coordination

Build the business system and AI together

Organize materials, status and collaboration first, then embed AI where it fits while people retain final judgment.

For example: creator submissions, after-sales routing and procurement
Built with your team

Understand the work first. Then make AI do it well.

01

Enter the worksite

See how work happens and map inputs, tools, rules and bottlenecks.

Stage outputWorkflow and problem map
02

Choose one entry point

Compare frequency, time, rule clarity and exception rates.

Stage outputPilot scope and acceptance criteria
03

Validate with real samples

Compare against human outcomes and record where judgment must remain human.

Stage outputPrototype, sample results and gaps
04

Enter daily operations

Connect existing tools or add the missing workflow layer, with clear permissions and handoff.

Stage outputUsable workflow and operating guide
05

Review and improve

Measure total processing and review time, rework and exceptions before expanding.

Stage outputOutcome review and iteration list

Evaluation includes human review time—not only how long the AI ran.

Business, software and AI

Not only the brain—the ability to make it work in the business.

CORE CAPABILITIES03
CAP / 01

Understand the business

Start from real users and work samples to define the process, rules, inputs, outcomes and acceptance criteria.

CAP / 02

Build the system

Connect existing systems and add the workflow layer that gives materials, status and collaboration a clear home.

CAP / 03

Deploy the AI

Combine task understanding, specialist skills and tool execution, returning reviewable outcomes and handing exceptions to people.

Global expansion · AI OPERATIONS

One AI brain across languages, time zones and global channels.

Product knowledge, brand rules and service standards stay governed at headquarters, while language, culture, channels and local policy load per market. Global operations do not need a fleet of disconnected bots—one AI employee can gain worldwide capabilities.

GLOBAL OPERATIONS / ONLINEUTC+8 → WORLD
24 / 7across time zones
Multilingualmeaning and brand aligned
One braingoverned knowledge and policy
01

Global market intelligence

Unify overseas channels, customer feedback and competitor signals into traceable market opportunities and recommended actions.

02

Multilingual localization

More than literal translation: adapt content to brand voice, product truth and local expression, with review built in.

03

International growth and support

Connect DTC sites, marketplaces, social, email and CRM to handle leads, questions and after-sales coordination.

04

Follow-the-sun operations

Global events enter one task queue. AI handles bounded work first and hands judgment calls to the right regional team.

HUMAN + LOCAL POLICY

Language, culture and regulatory boundaries are configured per market; local people retain review and control over publishing, commitments, refunds and other high-risk actions.

Skill Pack marketplace

One employee. Many specialist roles, installed on demand.

A Skill Pack defines the work to be done; applications are tools. The same AI employee can serve domestic teams or load language, channel and local-policy context for global expansion.

First release

01Recruiting · Candidate operations

Message handlingCandidate screeningResume collectionResume scoringSmart follow-up
First release

02Support · Service desk

Intent detectionKnowledge retrievalSmart replyTicket routingHuman escalation

03Support · After-sales

Order lookupShipment trackingReturns policyCase routingException handling

04Operations · Cross-platform

Data captureSystem entryFile handlingStatus trackingDaily reports
First release

05Global · International growth

Market intelligenceMultilingual contentGlobal acquisitionWorldwide supportTime-zone coordination

06Finance · Document operations

Document OCRField validationSystem entryException routingAudit trail
Explore the full Skill Pack matrix →
Safety by design
01
One task
only one writer controls an interactive desktop at a time
02
Revocable
short-lived grants, leases and fencing tokens stop stale writes
03
Human first
human input or high-risk signals immediately take control
04
Traceable
every observation, action, outcome and handoff leaves evidence

High-risk actions require human approval. Captchas, risk controls and anomalies are never bypassed automatically.

More applications

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

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
Deploy and operate

The cloud brain decides.
Execution works where it is needed.

The cloud control plane manages enterprises, employees, skills, tasks, entitlements and audit. Execution can run on customer premises or governed compute sites, connected outbound without exposing enterprise desktops to the public internet.

Cloud control planePrivate executionOutbound secure linkHybrid deployment
CLOUD CONTROL PLANEUnified controltenants · employees · Skills · scheduling · audit
Visual runtime
Windows Agent · OCR · input · desktop apps
Structured runtime
governed browser · official API · webhook
Human handoff
approval · captcha · risk · recovery
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
Substantia AI · The AI brain that gets work done