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Scenario examples

From individual productivity to organizational performance

These illustrative business scenarios explain possible implementation approaches. They are not delivered customer case studies or measured results.

Scenario 01 · Discrete manufacturing

High-mix, low-volume manufacturing: monitor scheduling and shortages through the system

Scenario background

A typical discrete manufacturer with thousands of SKUs, multiple processes and subcontractors, and frequent order changes. ERP is in place, but business rules remain in spreadsheets and individual experience.

Common pain points

  • Sales, procurement, inventory and finance use conflicting records and reconcile manually
  • Overstock and shortages coexist without early warning
  • Scheduling depends on personal experience, with unclear delay impact
  • Workflow changes require lengthy outsourced development

Possible implementation

Model the business twin

Represent actual orders, BOMs, processes, batches and storage locations.

Specialized agents

Use separate agents for production, procurement, warehousing and quality within clear boundaries.

Enforce rules in the system

Services and workflows control calculations, stock changes, state transitions and approvals.

Iterate from feedback

Runtime exceptions and human feedback help the development assistant refine behavior.

Expected workflow changes

Typical current state

Shortages and excess stock go unnoticed, customer follow-ups rely on memory, and workflow changes require outsourced development.

Solution goals

Connect procurement, sales, inventory and finance with accessible data, earlier shortage alerts and conversational workflow adjustments.

Expected value

Phased
Launch an initial core scenario
Validate before expanding
Dialogue
Adapt business workflows
Reduce redevelopment overhead
Live
Access business information
Reduce month-end reconciliation pressure
Auditable
Trace agent actions
Include reasoning evidence and data snapshots

Scenario 02 · B2B distribution

Distribution: governed AI support for quotes, credit and collections

Scenario background

A typical B2B distributor with many customers, long payment terms and thin margins. Staff turnover leaves customer relationships and pricing knowledge tied to individuals.

Common pain points

  • Quotes lack a clear basis in historical prices, credit limits and margin requirements
  • Payment and renewal milestones go unmonitored until accounts are overdue
  • CRM records are disconnected from actions and AI lacks full customer context
  • Customer relationships weaken when staff leave

Possible implementation

  • Embedded sales agents read the customer, order, payment and credit context
  • AI provides pricing evidence, follow-up timing and risk alerts; system rules determine prices and credit
  • Salespeople access their own customers; managers see the wider picture
  • High-risk actions such as exceptional discounts or credit terms require mandatory human approval
  • Messaging integrations let staff perform business operations through WeCom or DingTalk

Expected workflow changes

Typical current state

Follow-ups rely on memory, finance reconciles manually, and unusual discounts bypass controls.

Solution goals

Agents support follow-ups and collections, quotes are traceable, unusual discounts require approval, and risks surface earlier.

Expected value

  • Less dependence on individual memory and lower disruption from staff changes
  • Consistent pricing and credit criteria with approval routing for exceptions
  • Earlier overdue-payment and churn signals with management risk summaries
  • Enumerable, auditable AI actions provide evidence for governance

Scenario 03 · Multi-branch services

Multi-branch organizations: shared foundations with local flexibility

Scenario background

A service organization spans regions and branches. Headquarters needs consistency while branches need local rules; generic SaaS does not fit and bespoke development is costly.

Common pain points

  • Branches change their workflows to fit rigid templates
  • Headquarters standards and local flexibility remain in conflict
  • Policies, approvals and risk rules stay in documents instead of the system
  • Every change requires lengthy outsourced development

Possible implementation

  • Headquarters creates a parent App for common rules, while branches create child Apps that override same-name elements for local requirements
  • Child overrides preserve parent behavior, supporting variation on one foundation without changing callers
  • Management agents answer business questions and summarize variances and risks within system-defined data scope
  • Business rules, approvals and permissions share one RBAC and audit framework

Expected workflow changes

Typical current state

Branches adapt to headquarters templates while local rules run offline, separating policy from execution.

Solution goals

Element overrides model branch differences, while policies and approvals become executable system rules.

Expected value

  • Adapt systems to business needs instead of forcing generic templates
  • Combine headquarters consistency with branch flexibility
  • Replace repeated redevelopment with conversational adjustments
  • Traceable changes support auditing and rollback

Getting started

Start with your most pressing business problem

Try it free

Download the desktop edition and validate one business scenario before expanding.

Launch a core scenario

Choose a priority workflow and validate an initial business loop.

Expand adoption

Deploy the server edition and extend to more workflows and business agents.

Keep improving

Operational, agent and human feedback keep systems aligned with changing needs.

Let's discuss your business scenario

Explore an implementation approach for your needs. Start with a core scenario and validate value step by step.