Business flow
What work enters the system, who owns it, and what result is expected.
Projects and capability cases
From business flow to an operating enterprise agent.
Every case is organized around the business challenge, agent intervention, runtime environment, trusted infrastructure, security boundary, and delivery evidence.
Runtime boundary
How deployment, model access, trusted infrastructure, and data classes are controlled.
Operating evidence
What the team can review, accept, replay, and carry into the next stage.
From business flow to an operating enterprise agent.
Industrial inspection · AI and equipment
Xigu AI lights-out semiconductor inspection
Connect agent orchestration, equipment control, knowledge, and identity in an inspection workflow.
Core value
Agents, equipment, knowledge, and identity can be designed around one inspection task.
AI enablement path
- 01
Design a nine-system collaboration architecture
- 02
Focus on agent, equipment, knowledge, and identity capabilities
- 03
Design routing, permissions, logs, and mutual-exclusion control
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Business challenge
- Inspection tasks, protocols, SOPs, image judgment, and reporting need a common operating loop.
Core deliverables
- System architecture and capability scope
- Phase-one end-to-end loop
- Knowledge/RAG and equipment-control design
Key capabilities
- System collaboration architecture
- Phase-one end-to-end loop
- Knowledge engine and equipment-control modules
Modern agriculture · Sensing, alerts, and field operations
Smart agriculture management platform
Connect weather, soil, equipment, crop conditions, and field tasks so distributed data becomes an actionable growing workflow.
Core value
Agricultural IoT data, agronomic knowledge, and field work can form a continuous monitor-decide-act-feedback loop.
AI enablement path
- 01
Unify plot, device, environment, and crop records
- 02
Design metric monitoring, anomaly alerts, and agronomic knowledge assistance
- 03
Convert alerts into assignable, confirmable, traceable field tasks
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Business challenge
- Plots, sensors, field records, and workforce scheduling are fragmented; anomaly detection depends on manual inspection and practical knowledge is difficult to reuse.
Core deliverables
- Agricultural operations dashboard
- Plot and device monitoring map
- Alert, work-order, and field-record workflow
Key capabilities
- Environmental metrics and trends
- Plot-device status and anomaly records
- Field-task assignment and completion feedback
Agricultural fintech · Data governance and risk support
Agricultural credit and operating assessment platform
Build traceable operating profiles around agricultural businesses, production cycles, fulfillment history, and risk events.
Core value
Authorized multi-source operating data can support risk identification and business assessment with explicit provenance and human review.
AI enablement path
- 01
Model business entities, production inputs, transactions, and fulfillment data
- 02
Configure interpretable risk factors, rules, and exception verification
- 03
Design access control, provenance, human review, and audit records
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Business challenge
- Agricultural operating data is fragmented, seasonal, and inconsistent, making sustained operating capacity and fulfillment history difficult to evaluate.
Core deliverables
- Agricultural operating credit profile
- Risk-factor and assessment workbench
- Verification, review, and audit workflow
Key capabilities
- Source and freshness records
- Risk-factor explanations and human-review status
- Assessment versions and operating audit logs
Customer service · Knowledge answers and ticket collaboration
Intelligent AI customer service platform
Connect enterprise knowledge, conversation understanding, intent routing, ticket handling, and human agents through one service entry.
Core value
AI can handle frequent questions and collect context, while transferring low-confidence or complex conversations to human agents.
AI enablement path
- 01
Organize a citable, maintainable service knowledge base
- 02
Design intent detection, answer generation, and confidence boundaries
- 03
Connect human takeover, ticket assignment, quality review, and conversation replay
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Business challenge
- Service channels are fragmented, repeated questions consume agent time, and knowledge updates and complex handoffs lack a shared record.
Core deliverables
- Intelligent customer-service entry
- Knowledge and answer operations console
- Human takeover and ticket collaboration flow
Key capabilities
- Answers with source citations
- Human-takeover and ticket states
- Conversation QA, knowledge gaps, and iteration records
Cross-border commerce · Product workflow
AoristCross
Organize direction, artwork, mockups, copy, publishing data, and supplier material as an agent workflow.
Core value
Product sources can form a continuous chain from direction and content to publishing and supplier delivery.
AI enablement path
- 01
Design a product-preparation agent flow
- 02
Structure product, image, and supplier material
- 03
Preserve export and collaboration history
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Business challenge
- The preparation chain is long and repeated copying creates version drift.
Core deliverables
- Reusable product-production flow
- Titles, descriptions, tags, and publishing fields
- Supplier delivery package
Key capabilities
- Product-workflow interfaces
- Publishing fields and product-data structure
- Supplier-material organization
Commercial content · Presentation delivery console
Easy PPT
Connect requirements, outlines, page content, visual prompts, preview approval, and export management.
Core value
Content production can manage requirements, approval, versions, and final export in one delivery flow.
AI enablement path
- 01
Design the requirement-to-export flow
- 02
Add project history and preview approval
- 03
Retain one-off delivery as reusable templates
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Business challenge
- Commercial presentation delivery needs version, approval, export, and feedback control.
Core deliverables
- Project requirements
- Editable outline
- Page content and delivery package
Key capabilities
- Requirement, outline, and page-content interfaces
- Preview approval and export flow
- Project artifact history
Visual creation · Workbench and operations
Veo AI
Unify image, video, style transfer, canvas, task history, and credit operations.
Core value
Generation tasks, creative assets, and resource use can be managed through one operating surface.
AI enablement path
- 01
Design creator and operator workbenches
- 02
Unify progress, previews, and consumption records
- 03
Organize user, tenant, plan, and task configuration
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Business challenge
- Creation tools, tasks, assets, credits, and operational configuration are fragmented.
Core deliverables
- Visual creation workbench
- Image, video, and canvas projects
- Task queue and generation history
Key capabilities
- Creation workbench
- Task queue and asset previews
- Operations interface with illustrative numeric values
Legal services · Intelligent operations
AoristLawer
Organize filing, retrieval, timelines, issues, risk analysis, and report production.
Core value
Sensitive sources can move through permission-controlled retrieval, analysis, review, and report preparation.
AI enablement path
- 01
Design case-material and legal-retrieval flows
- 02
Support multi-role agent collaboration
- 03
Use local-first and permission-control principles
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Business challenge
- Large sensitive legal source sets need permissions and audit across search, analysis, collaboration, and output.
Core deliverables
- Retrieval and matter filing
- Evidence index and fact timeline
- Analysis and reporting flow
Key capabilities
- Matter filing and retrieval interfaces
- Evidence index and fact timeline
- Analysis and reporting flow (not legal advice)
Digital life · Pet wearables
PETPLANET
Build a digital-life record for each pet and connect continuous activity, location, and wellness data from wearable devices.
Core value
Pet identity, device data, and long-term companionship records can form one continuous digital-life timeline.
AI enablement path
- 01
Create a digital identity and life record for each pet
- 02
Connect pet wearables, data synchronization, and device management
- 03
Organize activity, location, wellness trends, and meaningful life events
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Business challenge
- Daily condition, wellness changes, and shared memories are fragmented across devices and moments, making long-term understanding and preservation difficult.
Core deliverables
- Pet digital-life profile
- Wearable connection and management entry
- Activity, location, and wellness trend views
Key capabilities
- Pet identity and life-timeline interface
- Device pairing and data-sync flow
- Activity, location, and wellness records
Research support · Strategy workbench
STOCKCHOOSE
Organize sources, industries, strategy filters, valuation comparison, watchlists, and exports.
Core value
Research support can use repeatable filters, comparison, and replayable records.
AI enablement path
- 01
Organize data and industry classification
- 02
Design rules-based filters and comparison tables
- 03
Retain filter, sort, and export history
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Business challenge
- Research data, filter rules, and exports are fragmented and hard to replay.
Core deliverables
- Stock universe and industries
- Strategy filter table
- Valuation and export records
Key capabilities
- Industry and stock-universe interfaces
- Filter and valuation comparison tables
- Watchlist and export records (not investment advice)
Cross-border storefront · Brand and GEO
ETHER ORIENT
Align brand, page architecture, product narrative, FAQs, structured data, and AI discovery.
Core value
Brand, site structure, product content, and GEO can operate as one content system.
AI enablement path
- 01
Design brand and site framework
- 02
Shape Shopify home, brand, collection, and product pages
- 03
Configure structured data, GEO content, and quotable blocks
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Business challenge
- A storefront needs a coherent brand-to-product structure that remains legible to generative search and AI crawlers.
Core deliverables
- Brand and tone framework
- Core page architecture
- Product narrative, FAQ, and quotable blocks
Key capabilities
- Brand and page framework
- Product narrative and FAQ structure
- GEO and structured-content design
Game development · Content and playable prototype
Youdou Night Journal
Use AI to structure world, characters, narrative, data, and prototype tasks, then validate with play.
Core value
Structured content, data tables, development tasks, and a playable prototype can form one validation chain.
AI enablement path
- 01
Structure world, chapters, characters, and quests
- 02
Convert content into tables, asset lists, and development tasks
- 03
Validate combat and UI feedback in a playable prototype
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Business challenge
- Design, data, asset, code, and test records must stay aligned through rapid iteration.
Core deliverables
- World and chapter documentation
- Character, enemy, card, and item tables
- Combat rules, balance tables, and playable prototype
Key capabilities
- Design documents and data tables
- Asset and development-task lists
- Playable prototype
Start with your real workflow.
Prepare your current workflow, core friction, and expected result so Aorist can assess the product combination and delivery path.