AI Change Order Management
Protect Margin, Faster
Auto-draft change notices, quantify cost and schedule impact, and surface entitlement evidence across your portfolio.
Quick Answer
NeoBram delivers AI change order management for EPC contractors that auto-drafts change notices, quantifies cost and schedule impact from BIM, schedule and commercial data, and surfaces entitlement evidence - typically recovering 1-3% additional margin per project.
Why This Matters
Change Orders Make or Break EPC Project Margin.
On most EPC projects, 5-15% of scope changes through the lifecycle. Whether that turns into recovered margin or lost margin depends almost entirely on the speed and quality of change order management.
Teams routinely miss entitlement deadlines, under-quantify impact, or fail to assemble the evidence needed to defend a claim. The information exists - in BIM, schedule, RFIs and correspondence - but no one has time to pull it together fast enough.
AI takes that lift. Within hours of a change-trigger event, the AI drafts a change notice, quantifies cost and schedule impact, and assembles the supporting evidence pack.
Our Tech Stack
Production-Grade Tools We Deploy
Source systems
AI & retrieval
Quantification
Governance
Architecture Deep-Dive
How We Build It
Change notice drafting
AI drafts the change notice within hours of trigger - referencing the contract clause, prior correspondence, RFIs and design revisions.
- Auto-cited contract clause and conditions precedent
- Linked RFI / NCR / correspondence pack
- Plain-English summary for client review
- Drafts in your contract format (FIDIC, NEC, bespoke)
Cost & schedule impact quantification
Quantifies cost impact from BIM deltas and rate library, and schedule impact via P6 fragnet analysis - with calibrated confidence.
- BIM-based quantity take-off delta
- Schedule fragnet impact in days
- Direct + prelim cost build-up
- Sensitivity bands on contested assumptions
Entitlement evidence pack
Assembles the evidence needed to defend the change: correspondence, drawings, photos, schedule snapshots and prior assurances.
- Time-stamped evidence linked to contract clause
- Photo and drone evidence by location
- Schedule baseline vs current snapshots
- Auto-generated chronology of events
Portfolio margin protection
Roll-up across the project portfolio: open notices, missed-deadline risk, expected recovery and margin-at-risk.
- Open notice ageing per project
- Deadline risk alerts to commercial leads
- Expected vs actual recovery tracking
- Margin-at-risk dashboard for leadership
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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