Enterprise AI
For manufacturers, established industrial companies, and R&D-intensive B2B enterprises, we start with one bounded workflow and co-create domain-specific AI agents.
Explore Enterprise AIAI agents for real-world business
We build enterprise AI agents around real-world business contexts, rules, and workflows—agents that understand problems, use specialized tools, support human decision-making, and remain subject to human oversight.
Capture change and anomaly signals
SIGNALSIGNAL: Capture change and anomaly signals; Business change, Anomaly, TriggerInterpret business entities and context
CONTEXTCONTEXT: Interpret business entities and context; Entities, Relationships, EvidenceCheck rules and accountability boundaries
CONSTRAINTCONSTRAINT: Check rules and accountability boundaries; Rules, Permissions, OwnershipGenerate recommendations with explicit risk notes
PROPOSAL & RISKPROPOSAL & RISK: Generate recommendations with explicit risk notes; Rationale, Risk, ImpactHuman approval at an accountability checkpoint
REVIEWREVIEW: Human approval at an accountability checkpoint; Owner, Confirmation, ActionFeed outcomes back for ongoing validation
FEEDBACKFEEDBACK: Feed outcomes back for ongoing validation; Outcome, Validation, Iteration
Key metric tension and evidence reasoning provenance
Each of the four nodes can hold evidence entries; the two skeleton lines indicate information capacity only.
KEY METRIC TENSION
Cost
Service level
Delivery time
EVIDENCE & REASONING PROVENANCE
SOURCE
REASONING ACTIVITY
RECOMMENDATION
HUMAN CONFIRMATIONOutput
Cross-Border Commerce
We use real cross-border operations as a proving ground to build AI agent-driven operational capabilities and partnerships across supply chains, brands, and channels.
Explore Cross-BorderNOW / CURRENT WORK
What we are doing now
We do not present future plans as accomplished results. At this stage, EXPTECH clearly distinguishes its long-term vision, work currently underway, and the partnerships we are seeking.
LONG-TERM THESISVision
Our long-term goal is to enable AI agents to understand the business entities, rules, constraints, and accountability boundaries of specific industries, operate within real workflows, and remain subject to ongoing validation.
ONGOING R&DIn Development
Within domain-specific bounded workflows, we are developing domain models, reasoning orchestration, specialized tool use, and accountability checkpoints.
OPEN TO COLLABORATIONPartnering
We are seeking enterprise partners willing to start with real problems and jointly define, validate, and iterate business AI agents.
ENTERPRISE AI AGENTS
Start with a bounded workflow
We begin with bounded workflows that have clear scope, clear accountability, and verifiable outcomes. These are current co-creation priorities—not deployed client case studies.
FOCUS 01 / COLLABORATIVE DECISIONS
Supply Chain Decision-Support AI Agent
Combines orders, inventory, delivery commitments, and business constraints to help accountable owners identify conflicts, assess impact, and produce traceable recommendations.
- OBJECTSOrders / Inventory
- CONSTRAINTDelivery & rules
- PROPOSALExplainable recommendation
FOCUS 02 / ANOMALY ASSESSMENT
Production Alert Monitoring & Decision-Support Agent
Interprets process context, anomaly signals, and response boundaries; supports risk assessment and hands recommendations to the on-site accountable owner for confirmation, without replacing human control of equipment.
- SIGNALChange / Alerts
- CONTEXTProcess context
- REVIEWOperator response
FOCUS 03 / METRIC INTERPRETATION
R&D Metrics & Improvement Agent
Connects R&D activity, delivery workflows, and metric definitions to support measurement, explain deviations, and generate continuous-improvement recommendations, keeping metrics grounded in business context.
- ACTIVITYR&D activity
- METRICMetric definitions
- IMPROVEImprovement recommendations
CO-CREATION MODEL
Business AI Co-Creation
Domain experts, accountable owners, and EXPTECH define the problem together. Starting with a small, bounded workflow, we build an AI agent operating model that is understandable, human-reviewable, and verifiable.
- Real-world business contextDefine business entities, rules, workflows, and accountable owners
- Domain modelBuild a shared model of business concepts and constraints
- Agent workflowOrchestrate reasoning, specialized tool use, and recommendation generation
- Human reviewSet accountability checkpoints and define who owns each decision
- Verify & iterateValidate and refine the bounded workflow using real operational feedback
CROSS-BORDER OPERATIONS
Cross-Border Commerce: Operational Capabilities and Partnerships
We use real cross-border operations as a proving ground, developing internal AI agent tools around core business entities, workflows, and feedback. These remain internal R&D explorations—not public products.
Discuss a Cross-Border PartnershipProduct Opportunity & Demand Assessment
Connect market signals, product information, and operational constraints to support explainable, evidence-based opportunity assessment.
Sourcing & Fulfillment Coordination
Build a clear operational view of sourcing, inventory, delivery, and risk.
Product Listings & Channel Messaging
Create content grounded in product facts and aligned with channel rules and audience needs—not generated blindly.
Orders & Customer Service
Surface issues from order changes and customer feedback so accountable owners can respond in time.
Operations Review & Tool Improvement
Feed real outcomes back into the decision process to continuously validate and improve internal AI agent tools.
COOPERATION EXPECTATIONS
- Supply Chain Partnerships
- Brand Partnerships
- Channel Partnerships
- Co-Development of Tools & Workflows
ABOUT EXPTECH
EXPTECH
EXPTECH is the English brand of Guangxi Quanshi Technology Co., Ltd. (广西铨释科技有限公司), a technology startup working at the intersection of domain knowledge, AI agent engineering, and real-world operations. We believe enterprise AI agents create value not by demonstrating general capabilities, but by working within specific business contexts, understanding their constraints, and supporting decisions alongside the accountable owners.
“Embed complex technology in business structures people can understand—so every AI agent recommendation can be questioned, confirmed, and tested against real outcomes.”
Start with one real business problem
If you are looking for business AI agents that can work within specific workflows, operate within clear accountability boundaries, and be continuously validated against real outcomes, we would like to define the next step together.