QIAIP Operations Platform Capability Statement
AI-enabled operations platform for requests, assets, work orders, maintenance, records, and reporting.
QIAIP is Avehar LLCs main operations platform. It is designed to help organizations bring service requests, maintenance records, work orders, assets, vendors, documents, approvals, and reporting into one configurable workspace.
Core Capabilities
- Maintenance request intake
- Work order management
- Preventive and corrective maintenance
- Asset registry and site records
- Vendor and technician workflow support
- Inspection and approval workflows
- Dashboard reporting and exports
- Document/image storage direction
- AI-assisted summaries and request routing
- Multi-tenant and role-based operating model
Relevant Solutions / Modules
- Request Intake
- Work Orders
- Asset Registry
- Inspections
- Workflow Approvals
- Records & Reporting
- Buildings, floors, rooms, infrastructure, and fleet assets as configurable data models
- Floorplan, drone/DJI, predictive maintenance, and sensor workflows as roadmap/custom implementation areas unless separately verified
Why Team With Avehar
- Built around real workflows, not generic templates
- AI-assisted but human-governed
- Flexible custom software and SaaS options
- Strong technical founder involvement
- Rapid prototyping and implementation
- API-first integration mindset
- Good fit for early-stage public-sector pilots
- Partner-friendly for primes needing software, AI, automation, or small-business participation
Technology & Integration Strengths
- Node.js / Express application delivery
- PostgreSQL-backed workflow data
- OpenAI API integration for guided intake and AI summaries
- SMTP and mailbox workflow integration
- API-first design, webhooks, and third-party integration planning
- Responsive web portals and dashboard interfaces
- Cloud, private-cloud, and managed deployment discussions available
Public Sector / Commercial Fit
Public works, facilities, schools, airports, local government, property management, special districts, and asset-heavy commercial operations.
Partnership / Team Role
Platform provider, implementation partner, workflow mapper, integration partner, and pilot delivery team.
Company Data
- Legal Name: Avehar LLC
- Entity Type: Limited Liability Company
- State: California
- Year Formed: 2026
- Primary Email: hello@avehar.com
- Websites: avehar.com, qiaip.com, ops.qiaip.com
- Business Focus: AI automation, custom software, SaaS platforms, workflow automation, CMMS, ERP-style operations, HCM, integrations, reporting, and public-sector technology support
- Certifications: Placeholder: California Small Business / Microbusiness if verified by Avehar
- UEI: Placeholder
- CAGE: Placeholder
- NAICS: Placeholder
Detailed Version
QIAIP is built around real operational handoffs rather than generic templates. It can be configured around sites, departments, roles, request types, assets, vendors, approvals, documents, and reporting needs.
The repo supports public product positioning for QIAIP modules and a related portal/request backend. Some advanced areas, including DJI/drone, sensor-based predictive maintenance, OCR, and floorplan-specific features, should be described as available custom implementation or planned direction until verified in a product environment.
QIAIP is appropriate for phased pilots: start with intake, work orders, assets, and reporting, then expand into integrations, field workflows, document handling, and AI summaries.
Implementation Approach
- Discovery and workflow mapping
- Pilot scope and success criteria
- Configuration, prototype, or custom build
- Data migration and integration planning
- User training and operating documentation
- Launch support, reporting review, and iteration
Compliance-Safe Notes
- Certifications, UEI, CAGE, NAICS codes, awarded contracts, and client references must be added only after verification.
- Claims about live payroll, recruiting, OCR, DJI/drone, predictive sensor maintenance, or technician-specific onboarding should remain planned, custom implementation, or roadmap language unless verified outside this repo.