On-site handling is inconvenient
Existing systems mostly remain on the PC side, making it difficult to support on-site business handling at any time.
Construction engineering industry
Bring AI into project sites, equipment, and headquarters management
Targeting on-site scenarios such as comprehensive project management, equipment management, personnel management, and data queries, BetterAid helps construction enterprises build multi-terminal integrated platforms, truly connecting on-site operations with headquarters management.
Industry pain points
Construction engineering enterprises have a wide range of projects and strong on-site mobility, with equipment, personnel, acceptance, dispatch, and workload management all highly dependent on on-site execution. If business remains mainly on the PC side, it becomes difficult for project sites to provide timely status feedback, and headquarters cannot keep track of project progress and resource usage in real time.
Project data is fragmented
Equipment, personnel, materials, acceptance, and workload data are scattered across multiple systems.
Multi-end experiences are fragmented
Multi-system phased construction leads to poor business continuity and inconsistent employee user experiences.
Insufficient penetration at headquarters
Delayed feedback on project site status made it difficult for headquarters to promptly grasp progress, costs, and resource usage.
On-site knowledge is hard to reuse
Systems, standards, equipment records, and construction experience are scattered, making it difficult to accumulate into questionable and executable assets.
Key points for plan construction
Empowering AI to understand business, call systems, and drive action
Mobile users are preferred
This allows on-site personnel to complete registration, acceptance, dispatch, signing, and abnormality feedback via mobile devices.
Unify project targets
Unified modeling of projects, equipment, personnel, materials, workloads, acceptance, risk, and costs.
Connecting IoT data
Integrates IoT platforms and device ledgers to form closed-loop records of device status, usage, and maintenance.
Real-time control by headquarters
Providing management with unified progress and resource dashboards across projects, organizations, and sites.
AI live assistant
Let system Q&A, exception reminders, material inspections, and task urgency be integrated into on-site business processes.
The role of the platform: turning AI into an enterprise that can be operated, audited, and reused
Use unified Ontology, system connectivity, multi-agent and low-code capabilities to bring AI from Q&A entry points into construction engineering operations.
Touchpoint: Enterprise AI digital workbench
For headquarters management, project managers, field staff, equipment administrators, and subcontracted teams, it offers AI Kanban, AI data inquiry, digital employee collaboration, as well as PC, mobile, and IM integration.
Application layer: AI-native business systems
Centered on high-value construction engineering scenarios, processes and data, knowledge, and collaboration are distilled into configurable and reusable business applications.
Ontology Engine: Enterprise business semantic layer
Through objects, attributes, relationships, actions, functions, process rules, security, governance, and publishing, AI understands the true semantics of industry business.
AI intelligence and construction
Supports agent decision-making meetings, digital employee management, identity and memory, tool integration, permission governance, model usage, and low-code generation.
Knowledge and system integration
Connecting the RAG unstructured knowledge base, as well as existing systems such as the Industrial Management App, IoT platform, BI, unified authentication, and project management systems, it enables business data, system knowledge, and process actions to form a closed loop.
Cloud Market: Reusing enterprise AI assets
Accumulate Ontology industry template libraries, Skill marketplaces, workflow templates, knowledge packs, API action libraries, Agent templates, application templates, and governance strategy libraries.
Key capabilities for solution implementation
From business understanding to closed-loop action
Enterprise Ontology Construction
Projects, contracts, subcontracts, personnel, equipment, materials, acceptance, workload, and risks are unified into a business network of partners.
Multi-platform applications
It also supports the Industrial Management App, PC management end, mobile acceptance, on-site photography, to-do tasks, and message notifications.
IoT integration
Connecting device IoT, unified authentication, BI, and external business systems to achieve synchronization of on-site and headquarters data.
AI Q&A
Based on systems, standards, equipment records, and project documentation, we provide on-site Q&A, material inspection, and exception alerts.
Solution implementation path
A unified method facilitates investment evaluation, asset accumulation, and reuse across more industry scenarios.
01
Sorting out the project chain
Focusing on key processes for equipment entry and exit, personnel dispatch, acceptance, workload sign-off, and data query identification.
02
Build the project Ontology
Unify projects, equipment, personnel, materials, contracts, acceptance, workload, and risk targets.
03
Access on-site data
Connects the Industrial Management App, IoT platform, BI, unified authentication, and existing business systems.
04
Configure mobile apps
Built capabilities for mobile reporting, on-site photography, approval pending tasks, message notifications, and offline supplementary entries.
05
Stacking AI Assistant
Access system Q&A, exception alerts, project data retrieval, and intelligent summarization.
06
Headquarters reviews operations
Accumulate project indicators, on-site efficiency, and resource usage data to support continuous optimization.
High-value business scenarios in the construction engineering industry
Focusing on the core business chain of the current industry, we organize analysis, judgment, and execution into a reusable closed loop.
A mobile platform for integrated project management
Equipment IoT and ledgers
Personnel and dispatch coordination
Workload sign-off
Project management dashboard
A mobile platform for integrated project management
The project site needs to handle equipment, personnel, acceptance, and workload matters at any time, and the PC system cannot cover on-site operations.
Construction methods
Building the Industrial Management App and PC management terminal through a unified platform, integrating with the IoT platform, BI, unified authentication, and external systems.
Application process
Equipment acceptance -> Entry registration -> IoT binding -> Dispatch usage -> Personnel maintenance -> Workload sign-off -> On-site management -> Statistical analysis
Solution Effectiveness
- Improves on-site processing efficiency
- Enhance transparency at headquarters
- Unify data from project sites and headquarters
Equipment IoT and ledgers
Scattered equipment status, location, usage records, and maintenance information affect equipment utilization and safety management.
Construction methods
Integrate equipment ledgers, IoT data, entry and exit records, maintenance plans, and exception alerts.
Application process
Device filing -> IoT binding -> status collection -> usage registration -> maintenance reminders -> exception handling
Solution Effectiveness
- Improve equipment utilization
- Reduce abnormal omissions
- Establish full lifecycle records for equipment
Personnel and dispatch coordination
On-site personnel dispatch, attendance, qualifications, and task records require multiple confirmations, making manual statistics prone to delays.
Construction methods
Establish personnel, positions, qualifications, tasks, and project targets, and configure mobile dispatch and confirmation processes.
Application process
Personnel filing - > Qualification verification - > Dispatch application - > On-site confirmation - > Working hours record - > Data summary
Solution Effectiveness
- Improves on-site dispatch efficiency
- Reduce manual statistics
- Enhance personnel qualifications and task traceability
Workload sign-off
Workload confirmation involves on-site, subcontracting, project managers, and headquarters, with long offline signing cycles and scattered evidence.
Construction methods
Integrate workload, photos, location, contract terms, and approval processes online.
Application process
On-site submission -> Attachment collection -> Subcontract confirmation -> Project approval -> Headquarters review -> Data archiving
Solution Effectiveness
- Shorten the signing cycle
- Enhancing the integrity of evidence
- Supports subsequent settlement and cost analysis
Project management dashboard
Headquarters struggles to timely assess cross-project progress, resources, equipment, and cost risks.
Construction methods
Aggregate data on project progress, equipment, personnel, workload, cost, and risk to configure the headquarters cockpit.
Application process
Data aggregation - > Indicator definition - > Risk identification - > Task assignment - > Rectification tracking - > Business review
Solution Effectiveness
- Enhance headquarters penetration management capabilities
- Identify project risks in advance
- Forming a cross-project business perspective
Business value
From local efficiency improvements to measurable intelligent operations
On-site value
Extend project management from headquarters to the construction site.
Equipment value
Achieve a unified closed loop of equipment acceptance, entry, IoT, dispatch, maintenance, and exit.
Synergistic value
Unify business flow among on-site personnel, subcontractors, project managers, and headquarters.
Operating value
Allow headquarters to see project progress, resource usage, workload, and risk status in real time.
Intelligent value
Enhance management fineness through AI Q&A, exception alerts, and on-site data insights.
On-site processing is available instantly
Mobile devices cover devices, personnel, acceptance, signing, and exception feedback.
Headquarters can penetrate projects
Unified presentation across project schedules, costs, resources, and risks.
The equipment can be continuously managed
IoT, ledgers, entry/exit data, and maintenance data form a closed loop.
Experience can be accumulated and reused
Systems, standards, project documentation, and on-site experience are gradually becoming AI-usable knowledge.
Building a closed-loop AI-native operation in the construction engineering industry
Starting from a high-value scenario, accumulate replicable enterprise AI assets and gradually expand to more business units and operational scenarios.