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.
Three products spanning intelligent decisions to growth execution
Deploy each product independently or combine them across intelligent collaboration, marketing operations and brand growth.
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 productHisaleConnect every marketing expense to an operating outcome
Hisale replaces fragmented spreadsheets with consistent spend definitions and traceable workflows so finance, marketing and management work from the same data—from budget commitment to campaign outcome.
Explore productBootMallLaunch a global commerce presence your brand owns
BootMall helps brands move beyond marketplace templates and launch storefronts built for brand expression, search growth and local buying behavior. Modular capabilities support fast launch and market-by-market expansion.
Explore productINDUSTRY COVERAGE / OPERATING CONTEXT
Useful AI begins 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.
Platform operations
Orchestrate review, inspection, attribution and exception handling to improve consistency at operating scale.
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.
Cross-border Consumer Brand
Unifying marketing spend across six markets in one operating view
Hisale unified budgets, delivery evidence and attribution so marketing, finance and management could work from the same spend language.
“What gave us confidence was that every answer returned to its source, and the agent knew when to stop and ask a person.”
Digital transformation lead, manufacturing company · 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 · 8 min
How enterprise agents move from demos into real operations
The real dividing line is not how clever the model sounds, but whether task boundaries, data permissions and operating mechanisms work together.
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.