Carrier-Ready Claim Packets In Minutes, Not Days Or Weeks
RestoreAI transforms field capture - photos, LiDAR, measurements, notes, and documents into auditable desk packets where every line item cites verifiable evidence. Built for carrier desk review and designed to survive scrutiny.
Faster carrier approvals with evidence-backed documentation
Fewer supplement cycles and rework requests
Higher job throughput without adding estimator headcount
Documentation failures create costly delays in the claims approval process. Based on industry research, restoration contractors face systematic challenges that extend cycle times, trigger supplement requests, and delay payment. Here are the operational bottlenecks RestoreAI eliminates.
Missing Evidence Links
Line items lack direct references to supporting photos, measurements, or field notes. Adjusters spend hours hunting for proof or requesting clarification, extending desk review time by days or weeks.
Inconsistent Narratives
Scope descriptions conflict with photo timestamps, measurement logs, or prior communications. Version drift between estimate revisions creates doubt and triggers additional scrutiny.
Measurement Documentation Gaps
LiDAR scans and manual measurements exist in separate files with no clear mapping to affected areas or specific line items. Carriers cannot verify scope accuracy without extensive back-and-forth.
Photo Organization Chaos
Hundreds of images with generic filenames like IMG_1234.jpg and no metadata linking them to specific rooms, damages, or scope items. Adjusters cannot match photos to claims.
Estimate Version Drift
Multiple estimate revisions circulate without clear change logs or explanations for deltas between versions. Carriers flag inconsistencies and request reconciliation.
Supplement Cycle Delays
Incomplete documentation triggers supplement requests. Each cycle consumes estimator hours, extends days to approval, and delays cash flow while jobs stall waiting for carrier feedback.
Industry Impact: Each rework cycle adds 3 to 7 days to approval timelines and consumes 2 to 4 hours of estimator time per job. For contractors processing 50 to 100+ jobs monthly, documentation inefficiency represents significant capacity loss.
Five Deliverables That Survive Desk Review
RestoreAI generates carrier-ready documentation designed to pass desk review on first submission. Each deliverable addresses specific carrier requirements and reduces common rejection triggers.
1
Inspection Narrative with Evidence Citations
Every observation ties directly to timestamped photos and field notes with embedded references. Reduces adjuster questions by providing immediate proof for all claims. Eliminates "where is the evidence for this?" requests.
2
Scope of Work with Photo and LiDAR References
Each scope item links to supporting measurements and visual proof with room-level precision. Eliminates guesswork about affected areas and provides verifiable documentation for all line items.
3
Line-Item Evidence Map
Structured index showing which photos, measurements, and documents support each line item. Makes audits straightforward and provides clear provenance for every claim element. Carriers can trace any line item back to source evidence in seconds.
4
Estimate Delta Summary
Clear documentation of what changed between estimate versions and why, with change logs and justification notes. Prevents confusion during multi-revision cycles and builds trust with transparent version control.
5
Exportable Carrier-Ready Packet
PDF and structured data formats designed for carrier systems and desk review workflows. Includes all evidence, citations, and audit trails in one organized package. Compatible with standard carrier submission requirements.
Designed For First-Pass Approval: Our packet structure follows carrier desk review checklists and addresses the most common documentation deficiency triggers identified in industry research.
HOW IT WORKS
From Field Capture to Carrier Approval in Four Steps
RestoreAI streamlines the documentation workflow from initial field capture through final packet export. Our system automates evidence organization and linking while maintaining full audit trails.
Step 1: Capture Offline On iPhone Or iPad
Field teams capture photos, LiDAR scans, measurements, voice notes, and document images using mobile devices. Works offline with automatic sync when connected. No special equipment required beyond standard iOS devices with LiDAR capability.
Step 2: Automated Extraction and Structuring
Computer vision, OCR, and measurement parsing extract structured data from field capture automatically. System identifies rooms, damage types, measurements, and relevant metadata without manual data entry. Reduces estimator data entry time by hours per job.
Step 3: Evidence Graph Linking
AI-powered linking connects every claim element to its source evidence. Photos automatically link to rooms and damage descriptions. Measurements link to scope items. Notes link to observations. Creates verifiable audit trail for all documentation.
Step 4: Packet Builder and Export
Generate carrier-ready packets in PDF and structured formats with one click. System assembles all evidence, citations, change logs, and supporting documentation into organized packages. Export to standard formats compatible with carrier submission systems.
Designed for Field Speed and Desk Review Certainty: Our workflow balances rapid field capture with rigorous documentation standards. Field teams work at normal speed while system ensures carrier-grade output quality.
MEASURABLE OUTCOMES THAT MATTER
Measurement Framework: Six KPIs We Track During Pilots
We do not fabricate metrics or make unsubstantiated claims. Instead, we establish baseline measurements before pilot start and track specific KPIs throughout the engagement. All results are measured against your actual baseline using matched cohorts and agreed methodologies.
Time to Carrier-Ready Packet
Measurement: Time from field completion to exportable packet ready for submission.
Baseline Method: Time-stamped workflow logs from field completion through final packet export.
Pilot Tracking: Automated system timestamps for all workflow stages.
Desk Review Rework Rate
Measurement: Percentage of packets requiring additional information requests from carriers.
Baseline Method: Historical carrier feedback and supplement request rates over prior 90 days.
Pilot Tracking: Carrier response categorization and supplement trigger analysis.
Dispute Rate
Measurement: Percentage of line items challenged or questioned by carriers during review.
Baseline Method: Historical dispute logs and line item challenge rates from carrier communications.
Pilot Tracking: Carrier feedback analysis and line item acceptance rates.
Days to Approval
Measurement: Calendar days from packet submission to carrier approval or payment authorization.
Baseline Method: Historical approval timelines from submission timestamp to approval notification.
Pilot Tracking: Submission and approval date tracking across matched job types.
Estimator Hours per Job
Measurement: Total estimator time per claim file from field data receipt through packet completion.
Baseline Method: Time logs and workflow tracking for estimator activities per job.
Pilot Tracking: System usage logs and estimator time allocation tracking.
Jobs Closed per Month per Team
Measurement: Team throughput capacity measured as completed jobs per estimator or crew.
Baseline Method: Historical job completion rates over prior 90 days by team or estimator.
Pilot Tracking: Job completion tracking and capacity utilization analysis.
Transparent Measurement Approach: We measure impact during pilots using pre/post comparisons and agreed baselines. No fabricated metrics. No cherry-picked results. Real measurement frameworks with statistical rigor. Success gates defined upfront with clear exit criteria if targets are not met.
DESIGN PARTNER PILOT PROGRAM
Design Partner Pilot: Measure Real Impact in 60 to 90 Days
Our pilot program is structured to minimize risk, establish clear baselines, and measure actual impact on your operations. We commit to transparent reporting and defined success gates.
What We Need From Partners:
Sample Job Cohort: 25 to 150 files recommended for statistical significance
Baseline Measurement Permission: Access to historical metrics for 90 days pre-pilot
Regular Feedback Cadence: Weekly or bi-weekly check-ins during pilot period
Anonymized Carrier Feedback: Access to carrier responses when available
Honest Assessment Commitment: Transparent evaluation of results and challenges
What Partners Receive:
Priority Roadmap Influence: Direct input on feature development and priorities
Discounted Pilot Pricing: Reduced rates during pilot with transition pricing post-pilot
Dedicated Implementation Support: Onboarding, training, and ongoing technical assistance
Success Gating with Exit Criteria: Clear performance milestones with no-penalty exit if unmet
Co-Marketing Opportunities: Optional case study and reference opportunities with approval
Success Gates and Risk Reversal:
Success Gates:
Performance milestones defined upfront based on your baseline metrics and improvement targets. If agreed KPI targets are not met within the pilot window, partners may exit without penalty or long-term commitment.
Risk Reversal Structure:
Baseline measurement before any commitment
Clear success criteria documented in pilot agreement
Regular progress reporting throughout pilot
Exit option if milestones not achieved
No long-term contract required for pilot participation
Pilot Duration: 60 to 90 days with defined measurement windows and milestone checkpoints.
Enterprise Security and Compliance Built for Carrier Review
RestoreAI meets enterprise security and compliance requirements from day one. Our platform is designed for carrier procurement teams and vendor risk management reviewers.
VPC-Isolated Environments
Customer data isolated in dedicated virtual private clouds with no cross-tenant data access. Network-level separation ensures complete data segregation between customers.
Encryption in Transit and at Rest
TLS 1.3 for all data transmission. AES-256 encryption for data at rest using AWS Key Management Service. Industry-standard cryptographic protocols throughout the stack.
Immutable Audit Logging
Every system action logged with timestamps, user identity, and data lineage. Logs stored in tamper-proof format and cannot be modified or deleted. Complete audit trail for compliance and forensic analysis.
PII Redaction and Guardrails
Automated detection and redaction of personally identifiable information with configurable policies per customer. Prevents accidental PII exposure in documentation and exports.
Data Ownership and Control
Customers retain full ownership of their data with no usage restrictions. Export and deletion capabilities available on demand. No vendor lock-in on customer data.
SOC 2 Roadmap
Type I and Type II compliance targets in active progress. Timeline and controls documentation available upon request. Current security posture documented and ready for review.
Security Review Ready: Standard security questionnaire responses, vendor risk assessment documentation, and technical architecture details available for carrier procurement teams.
We do not make claims we cannot prove. Every feature, every metric, every pilot result is grounded in verifiable evidence and transparent measurement. Our engineering culture prioritizes auditability and provenance over speed to market.
Defense-Tech Operating Discipline
Our team brings experience from defense and intelligence systems where evidence integrity and audit trails are non-negotiable requirements. We apply military-grade operational discipline to commercial restoration documentation.
Applied AI with Accountability
We build AI systems designed for scrutiny, not black boxes. Structured outputs with clear provenance, explainable decisions, and complete audit trails. Every AI-generated element traces back to source evidence.
Mission-Driven Impact
We exist to reduce friction in the claims process and accelerate recovery after disasters. Faster carrier approvals mean families return home sooner and contractors get paid faster. Our mission is operational efficiency with integrity.
Leadership And Advisory: Advisors and references available upon request. Our team includes veterans, AI researchers, and restoration industry operators.
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions for Restoration Operators and Carrier Reviewers
Q1: What does "evidence-first" mean in practice?
Every line item in a claim packet links directly to supporting evidence: photos, measurements, field notes, or documents. Adjusters can trace any claim element back to its source without hunting through files. Our system creates structured references between claims and evidence automatically.
Q2: What devices are supported for field capture?
iPhone and iPad with iOS 15 or later. LiDAR-equipped devices (iPhone 12 Pro and later, iPad Pro 2020 and later) recommended for measurement capture. Android support is on our development roadmap for 2026.
Q3: What formats can you export?
PDF packets with embedded evidence links, structured JSON for system integration, and CSV exports for estimating tools. Custom export formats available for carrier-specific requirements. We work with pilot partners to accommodate their carrier relationships.
Q4: How do you handle carrier-specific requirements?
Configurable templates and workflows accommodate different carrier guidelines and documentation standards. We work with pilot partners to map their specific carrier relationships and customize packet structure accordingly.
Q5: Do you integrate with existing estimating tools?
Xactimate integration is on our roadmap for 2026. Current workflow supports export to standard formats compatible with major estimating platforms including Xactimate, Symbility, and others. We can import estimates and enhance them with evidence documentation.
Q6: How is data secured and separated by customer?
VPC-isolated environments per customer with no cross-tenant data access. Encryption in transit (TLS 1.3) and at rest (AES-256). Full audit logging of all system actions. Network-level separation ensures complete data segregation.
Q7: Is customer data used to train AI models?
Customer data is not used for model training without explicit opt-in consent. Default Policy: Customer data remains customer property and is not shared or used for training. We maintain strict data usage boundaries.
Q8: What does a pilot require, and how is success measured?
60 to 90 day pilot with 25 to 150 file cohort for statistical significance. Baseline measurement before pilot start. Agreed KPIs tracked throughout with regular reporting. Success gates defined upfront with no-penalty exit criteria if targets not met.
Accelerate Claims. Reduce Disputes. Get Paid Faster.
Start with a Demo or apply for a Design Partner Pilot. See how evidence-first documentation transforms your carrier relationships and operational efficiency.