Jice Tech starts with business goals, validates the right scenarios, delivers working products and operates them over time—so AI enters real workflows, connects systems and produces measurable outcomes.
JICE ENTERPRISE AI STACK · SYSTEM READY
Enterprise AI operating system
Moving from an operating goal to agent action takes more than a model call. Jice brings data, systems, governance and operations into one observable six-layer structure.
Business scenarios
Define agent responsibilities from operating metrics and role-level tasks.
Knowledge & data
Connect structured data, documents and live operating context.
Agent orchestration
Decompose work, route models and coordinate specialized agents.
System connections
Safely operate CRM, ERP, collaboration platforms and proprietary tools.
Governance & evaluation
Embed access, audit, quality and cost constraints into runtime.
Continuous operations
Improve prompts, knowledge, tools and task scope from production feedback.
Four products connecting intelligent collaboration with the operating core
ThinkNow, BootMall, OmniTrek and Valnex work independently or as a connected stack across intelligent collaboration, global commerce experience, multi-channel operations and finance automation.
ThinkNowA trusted foundation for enterprise agents to work together
ThinkNow turns foundation-model capabilities into enterprise agents that teams can orchestrate, govern and improve over time. It connects knowledge and business systems so every role can use AI within explicit permissions and quality standards.
Explore productBootMallBuild a global commerce experience your brand can keep evolving
BootMall helps brands launch owned commerce destinations quickly and keep improving content, merchandising and purchase journeys market by market. Composable storefronts and open integrations balance speed with long-term flexibility while the business retains its domain, brand assets and core customer data.
Explore productOmniTrekRun every channel, warehouse and profit unit on one operating language
OmniTrek connects marketplaces, owned storefronts and regional channels, bringing fragmented orders, stock, fees, receipts and margin into one traceable operating view. Modular workflows support multiple entities, currencies and warehouses, with deployment options aligned to enterprise data and operating requirements.
Explore productValnexConnect documents, books, tax workflows and insight through reviewable automation
Valnex turns repetitive finance work into configurable, traceable automation and connects with common accounting, invoicing, banking and operating systems. Every extraction, match and voucher retains its source and rule version, with human review and audit gates before filing coordination, close and external delivery.
Explore productINDUSTRY COVERAGE / OPERATING CONTEXT
Useful products and AI begin with understanding how each industry operates
We begin with roles, workflows, data maturity and regional constraints—not a generic feature checklist.
Cross-border retail
Unify product, content, service and marketing data across markets so local teams move faster while headquarters retains operational visibility.
Smart manufacturing
Connect equipment documentation, process knowledge and quality workflows to agents for faster search, diagnosis and training.
Professional services
Turn expert methods and project material into reusable organizational assets across research, proposals, delivery and review.
Regional brands
Build localized growth infrastructure around language, channels and payment behavior to validate new markets efficiently.
B2B services
Connect leads, proposals, contracts and customer success so sales collaboration moves from individual habit to standard operations.
Finance services
Connect documents, transactions, accounting, tax workflows and reporting so high-volume work scales within review and audit controls.
Build an AI capability that keeps improving after launch
Validate one high-value scenario, then use real feedback to expand what agents can safely own.
- 01
Discover
Start with operating goals and workflow friction to identify the highest-value scenarios.
- 02
Validate
Use working prototypes to validate business value, data readiness and organizational readiness.
- 03
Integrate
Connect knowledge, systems and permissions so agents become part of production workflows.
- 04
Operate
Continuously evaluate outcomes, govern risk and expand task boundaries responsibly.
Start with an industry problem. Deliver an outcome teams can sustain.
Cases are anonymized; target outcomes are shown as solution estimates.
Furniture Export Commerce
One operating view across marketplaces, owned commerce and multi-warehouse fulfillment
OmniTrek unified bulky-product master data, order allocation, inventory, marketplace fees, receipts and contribution-margin analysis.
“Automation completes the standard work first and leaves exceptions and judgment clearly to professionals, making month-end collaboration manageable.”
Delivery lead, an accounting-services firm · Project interview summary
Production AI requires product, engineering and organizational alignment
Jice brings business advisory, product design, engineering integration and cross-market operations into one delivery system.
Business-engineering alignment
Advisory, product and engineering define the problem together so business goals remain connected to delivery.
Open, composable architecture
Support multiple models, data sources and existing systems while preserving room to evolve.
Governance throughout
Design permissions, auditability, data boundaries and quality evaluation from the prototype stage.
Bilingual cross-market delivery
Combine efficient delivery with sensitivity to language, channels and compliance across markets.
Agent Operations · 12 min
From agent demo to daily operations: a production framework that holds up
Production is not a chatbot connected to more data. It is a durable system of task contracts, permissions, tools, evaluation and operating ownership.
FAQ / DELIVERY DECISIONS
What enterprise teams ask before getting started
Every engagement has different boundaries, but a mature delivery path makes key decisions clear before work begins.
01How long does a typical engagement take?
We typically spend 2–4 weeks on scenario discovery and a working prototype, followed by 6–12 weeks for the first production scenario. Timing depends on data readiness, system access and governance requirements.
02Do you support private or dedicated-cloud deployment?
Yes. We support public cloud, dedicated cloud and on-premises combinations, shaped by data sensitivity, concurrency, operating capability and budget.
03Are solutions tied to one model provider?
No. Models can be routed by task quality, latency, cost and regional availability, with substitution and fallback designed in.
04How is enterprise data protected?
We design least privilege, data classification, transport and storage security, action approval, audit trails and masking as layered controls, followed by a production risk review.
05Where should we begin if the use case is not clear?
Start with a workshop focused on operating goals. Together we map frequent, costly, risky or high-growth workflows and produce a prioritized opportunity list and validation plan.
06Can you support cross-market operations?
Yes. Our team works in Chinese and English, accounting for differences in language, data availability, channels, payments and infrastructure while validating with in-market teams.
Clarify your first high-value scenario
Start with a conversation focused on your business goal
Share your business goal, current stage and constraints. We will assess scenario value and data readiness, then recommend a practical next step.