Every scenario · from brand to decisions 6 business scenarios 4 in-house product lines

Enterprise AI
across every scenario

AI transformation is not another tool purchase. Connect brand, growth, R&D, production, the office, and decisions into one line, combining four product lines by scenario. One team delivers in stages — start with one scenario or go across the business.

Get a free upgrade roadmap Explore the six scenarios +86 137 7560 3207

01 — Why the whole picture

More tools,
a more fragmented business

Many AI programs stop at a trial account in one department. What’s missing is not another tool, but a path that connects the scenarios.

01

Tool islands

A site here, an office suite there, a production system somewhere else. Accounts don’t connect, data doesn’t connect, and AI becomes a chat box.

02

Disconnected scenarios

One department improves while suppliers and downstream teams still move data by hand. Local optimization becomes company-wide drag.

03

The last mile

The demo looks great but never enters a real process. After launch, nobody uses it, owns it, or iterates.

The whole picture is not a longer feature list.
It is AI moving with the work.

02 — The architecture

One AI foundation,holding up six scenarios

The scenario layer combines business goals. The capability layer reuses the same agent and data capabilities. The foundation manages models, permissions, and audit centrally. Upgrade in stages without rebuilding the architecture each time.

Scenario layerSCENARIO
01Brand presence 02Growth 03R&D knowledge 04Manufacturing 05Office collaboration 06Business decisions
Capability layerCAPABILITY
Content generation Agent orchestration Data analysis Process automation System integration Security & audit
Product layerPRODUCT
LingCMS LingCMS · visual website platform LingMOE LingMOE · ERP / MES / OA LingWork LingWork · office agent LingHarness LingHarness · agent runtime
LingHarnessAI Foundation
  • Private deployment
  • Multi-model failover
  • End-to-end audit
  • Data stays on-premises

03 — Six scenarios

Six scenarios, one business chain

From the first time a customer sees you to order delivery, team collaboration, and management decisions, each scenario gets a workable product combination and deliverables.

01

Brand presence

Brand & Presence

External growth
Today

Your website feels like an expired business card: slow content updates, a poor mobile experience, and a visitor who still can’t tell what you do.

Approach

LingCMS generates the site from a sentence, with brand content, cases, multilingual pages, and SEO/GEO in place. Redesign later by conversation, without waiting for a development queue.

  • Brand website
  • Multilingual site
  • Content & SEO
Deliverable

Generate in minutes, launch in days, and change content yourself.

LingCMS
02

Growth

Growth & Conversion

External growth
Today

Ads, content, and sales work separately. Leads arrive with no owner, and spend can’t be traced to a result.

Approach

Generate landing-page sets in bulk, publish SEO content continuously, and let a lead agent receive, qualify, and write prospects into the CRM around the clock — turning every visit into a traceable opportunity.

  • Landing-page sets
  • Content calendar
  • Automatic lead handling
Deliverable

From visit to inquiry, everything is traceable and reviewable.

LingCMS + LingWork
03

R&D knowledge

R&D & Knowledge

Product innovation
Today

Drawings, processes, and proposals are scattered across laptops and chat logs. New hires ramp slowly, and the same problem gets solved twice.

Approach

A company knowledge base captures the knowledge once. Document and code agents help with proposals, tenders, drawing notes, and software; experienced engineers’ know-how becomes searchable organizational assets.

  • Company knowledge base
  • Proposal & tender drafting
  • R&D and code assistant
Deliverable

Knowledge is findable, new hires get up to speed, and experience stays.

LingWork + LingHarness
04

Manufacturing

Manufacturing & Supply Chain

Manufacturing delivery
Today

Order status means phone calls. Scheduling relies on experience. Inventory and delivery dates disagree, and when something goes wrong the batch can’t be found.

Approach

ERP, MES, and OA in one system: a sales order creates the production plan and purchase list, while AI supports scheduling, anomaly alerts, and quality traceability. The whole order-to-payment flow is online.

  • ERP / MES / OA
  • AI production scheduling
  • Quality traceability
Deliverable

Orders, inventory, and progress entered once and synced plant-wide.

LingMOE
05

Office collaboration

Office & Collaboration

Organizational efficiency
Today

Meetings, reports, contracts, and approvals consume the day. People copy and paste across systems, and nobody owns the repetitive work.

Approach

Digital employees take over documents, spreadsheets, decks, meeting notes, and research. OA connects to business systems; assign work in one sentence and get the deliverable back.

  • Reports & deck generation
  • Meeting notes
  • Process automation
Deliverable

Give the repetition to the agent and keep judgment for people.

LingWork + OA
06

Business decisions

Decision & Insight

Management decisions
Today

Data sits in multiple systems, reports lag, meetings start with a definition debate, and decisions still rely on instinct.

Approach

Unify business definitions, with a management cockpit, natural-language questions, and risk alerts. LingHarness keeps data on-premises, and every conclusion traces back to source data.

  • Management cockpit
  • Natural-language queries
  • Risk alerts
Deliverable

Move from reading reports to asking the data and getting an answer in minutes.

LingHarness + data integration

04 — Starting paths

Don’t launch everything. Prove one path first.

Three common starting paths, each tied to a different pain. Do the most painful piece first, prove it, then expand.

PATH A · External growth

Start with brand and growth

For companies with an outdated site, a brand that needs to climb, and acquisition that depends on paid platforms.

First phase

LingCMS · brand content · SEO/GEO · lead agent

Who it’s for

Marketing and brand leads who need the website to become a persistent acquisition asset.

You get: a brand site that keeps producing inquiries and that your team can update.

PATH B · Manufacturing delivery

Start with the shop floor and supply chain

For manufacturers with high-mix low-volume production, delivery pressure, and opaque inventory or progress.

First phase

ERP · MES · OA · AI planning and alerts

Who it’s for

Production and operations leads who first need orders, inventory, and progress to be visible.

You get: a manufacturing system that runs from order to payment online and flags exceptions early.

PATH C · Organizational efficiency

Start with knowledge and office work

For knowledge-intensive companies with heavy documentation, sensitive data, and collaborative R&D.

First phase

LingWork · company knowledge base · private LingHarness

Who it’s for

R&D, admin, and management who want experience to stay and repetition to go to AI.

You get: a workspace where documents, proposals, code, and processes can be assigned to digital employees.

The paths can run alone or stack on the same AI foundation, with data, permissions, and audit unified.

05 — How we deliver

Four steps. No all-or-nothing rewrite.

Diagnose, pilot, then replicate. Every step has a defined deliverable, visible investment, and acceptance criteria.

STEP 01

Scenario review

On-site review of process, systems, and data. Rank scenarios by value × feasibility.

OutputDiagnosis report · scenario priority matrix
STEP 02

Solution design

Define the product mix, data interfaces, permissions, and deployment model. Make the investment and expected return explicit.

OutputUpgrade roadmap · investment and return model
STEP 03

Pilot launch

Pick one scenario, run it with real data, train key users, and produce a repeatable template.

OutputWorking system · operations manual · acceptance criteria
STEP 04

Scale

Add scenarios quarterly, tune models and processes, and run operations and performance reviews together.

OutputQuarterly roadmap · operations report
4in-house product lines
6business scenarios
1end-to-end delivery team
5+years of delivery experience

06 — FAQ

About whole-business AI,
you may still be wondering

There are no standard answers, only fit. Talk through the current state before choosing the first step.

Talk to an advisor about your scenario
Do we have to launch every scenario at once?

No. The whole picture is a capability map, not a one-time purchase list. Start with one high-value scenario, prove it with real work, then expand along the roadmap. The products share data, permissions, and the foundation, so later additions do not require a rebuild.

We already have a website, ERP, or office systems. Can you connect them?

Yes. Keep existing systems where possible and integrate through APIs, databases, or single sign-on. Replace a system only when it genuinely cannot support the business. Upgrade is not a rewrite.

How do you protect data?

LingHarness supports private deployment: models, knowledge base, execution environment, and logs stay inside the corporate network. Permissions, operation audit, and data masking are available, so sensitive data can stay on-premises.

How are budget and timeline set?

Start with a free scenario diagnosis to define the first-phase goal and scope, then quote the combination of product, integration, deployment, and operations. The first phase usually focuses on one scenario, so investment stays controlled; decide the next step after seeing results.

07 — Start with a diagnosis

Start with a
free scenario diagnosis

In 60 minutes, map your business chain and current systems, and identify the AI scenario worth doing first. No product pitch; you decide the next step.

Book a scenario diagnosis +86 137 7560 3207