Do your systems tell you what a change will cost, delay, break, or invalidate?
A single change can cascade into:
- Schedule delays and cost overruns
- Regulatory gaps and quality gate failures
- Supplier disruptions and procurement holds
- Unplanned workload across engineering, QA, accounting, warehouse, sales, and shipping
Today, your team figures this out manually. If they ask the right people, and if those people remember, it may hurt a little less.
Real-world cascade
A late engineering change pushes your lipo-battery product's finished-goods pickup to mid-December.
Logistics manager sends shipment docs to FedEx on December 15. We usually only need 10 days for pickup scheduling. Should be fine.
FedEx responds: they need 15 days to book the vessel. It's holiday season. Pickup moves to January 2.
But the battery safety certification expires December 31. FedEx won't ship without it.
Recertification takes 30 days. Then FedEx still needs 15 days to book.
Result: 45+ days of dead time on an order that's "ready to ship" but can't move.
Meanwhile, costs pile up:
- Warehouse storage fees
- Frozen cash flow until pickup
- Engineering and PM hours on recertification
- Logistics replanning
- Accounting rework
- Recertification fee
One change. Six dependencies. No system flagged any of them.
The solution
Every change has a downstream impact. We compute yours automatically.
The Impact Intelligence Verification Graph Engine (VGE) traverses your entire operational schema to compute a complete change intelligence report, containing:
- Impact cascades across BOMs, documents, work orders, compliance, tooling, procurement, and more
- Severity scores for every impacted node
- Verification packs with draft validation plans, checklists, and acknowledgement tasks
- Cost-of-change estimates with uncertainty ranges
- Cross-change collision detection
The console preview shows how a single material substitution can quietly impact 14% of your operational graph across 6 domains. Preview mode shows you all of it before you commit.
Impact cascade + severity
Traverse the full operational graph to surface every impacted node, each scored 0–1 for severity:
- Analysis across your entire operational dataset
- Every downstream node surfaced automatically
- Severity scored per node for prioritization
Verification pack generation
Auto-generate draft deliverables before committing the change:
- Validation plans and quality gate checklists
- Document packages and acknowledgement tasks
- Operation checklists tied to impacted nodes
Cross-change collision detection
Flag when other in-flight changes overlap the same blast radius:
- See conflicts before they become rework
- Triage overlapping changes in one view
- No other tool does this
Console preview
Change intelligence report
Seed change
Material substitution: Titanium Grade 5 → Grade 23
Change impact
42 of 310 nodes (14%)
across 6 domains
Severity hotspots
7
critical
NRE estimate
$72K – $104K
likely $87K
Schedule delta
+12d
critical path
Impact cascade / sample path
Assembly references substituted material
via bom
3 inspection plans require re-validation
via compliance
2 supplier certs invalidated
via procurement
23 open work orders affected
via operations
Regulatory hold pending review
via compliance
2 other active changes overlap this blast radius
- ├─ ECO-4102 Supplier consolidation - fastener spec update 3 shared nodes in review
- └─ ECO-4098 Coating thickness revision for corrosion spec 5 shared nodes approved, pending
Verification pack / draft
- 3 validation plans generated
- 1 document package (ECN-2847)
- 2 acknowledgement tasks queued
- 4 operation checklists attached
Cost estimate: NRE $72K – $104K (likely $87K) · Recurring +$0.85/unit
- ├─ Tooling re-qualification: $18K – $26K (2 fixtures affected)
- ├─ Supplier re-certification: $8K – $12K (metallurgy + fatigue testing)
- ├─ Scrap risk: 340 units WIP at $42/unit if spec fails validation
- ├─ Schedule penalty: +12d delays downstream assembly by 1 sprint
- ├─ Recurring: +$0.85/unit from Grade 23 price premium
Verification pack outputs
- Draft validation plans
- Document packages (ECN)
- External acknowledgement tasks
- Operation checklists
- Typed validation artifacts (manual checklist, document review, automated test, FAI, data assertion)
- Customer-facing cost justification narratives
Cross-industry impact matrix
One engine, many regulated realities.
Every industry has its own change vocabulary, compliance requirements, and verification workflows. Impact Intelligence adapts to each domain. These examples show typical VGE outputs. Select any industry to explore its full capabilities.
Manufacturing
NRE: $142K ($114K – $191K) · Schedule: +18d · +$4.85/unitChange signal
Material substitution: 6061-T6 → 7075-T6 Aluminum
Impact surface
5 quality gate re-validations; 3 supplier re-certifications; 12 work order replans; 2 routing parameter updates
Blast radius
58 nodes across 5 domains
Healthcare
NRE: $187K ($124K – $268K) · Schedule: +45d · +$2.40/unitChange signal
Device specification change: Catheter wall thickness 0.035″ → 0.028″
Impact surface
4 DV/DV protocol re-executions; 3 supplier re-qualifications; 2 regulatory submission updates; 8 clinical evidence reviews
Blast radius
73 nodes across 6 domains
Regulated Industries
NRE: $165K ($135K – $210K) · Schedule: +28dChange signal
SOP revision: SOP-4417 Bioburden Hold → updated acceptance criteria
Impact surface
5 IQ/OQ re-validations; 12 training record refreshers; 3 audit gate evidence updates; 8 controlled document revisions
Blast radius
61 nodes across 5 domains
Construction
NRE: $62K ($45K – $82K) · Schedule: +14dChange signal
Scope change: HVAC spec revision - chiller capacity 200T → 250T
Impact surface
3 submittal resubmissions; 3 RFI resolutions; 4 procurement requotes; 2 schedule impact assessments
Blast radius
34 nodes across 4 domains
SaaS Platforms
NRE: $48K ($32K – $68K) · Schedule: +6dChange signal
API schema migration: workspace_region column addition - v2.4 schema
Impact surface
23 integration compatibility checks; 5 runbook updates; 2 SLO/SLA impact assessments; 47 tenant migration validations
Blast radius
46 nodes across 5 domains
Energy & Utilities
NRE: $124K ($92K – $168K) · Schedule: +30dChange signal
Relay protection change: Bus differential relay scheme - 8 relays updated
Impact surface
8 relay setting re-validations; 4 maintenance window reschedules; 6 NERC compliance updates; 2 crew certification renewals
Blast radius
52 nodes across 4 domains
Retail + Omnichannel
NRE: $87K ($62K – $118K) · Schedule: +8d · +$0.12/unitChange signal
Allocation policy change: Store cluster reassignment - 18 stores, SKUs HM-4401-HM-4488
Impact surface
18 store allocation updates; 3 channel routing rule revisions; 2 DC rebalancing validations; 4 delivery SLA impact checks
Blast radius
41 nodes across 3 domains
Warehousing + 3PL
NRE: $34K ($22K – $48K) · Schedule: +5dChange signal
Location policy change: Zone A3 pallet slot consolidation - 18 nested LPNs
Impact surface
18 LPN relocations; 3 replenishment threshold updates; 12 pick path re-optimizations; 2 container policy revisions
Blast radius
38 nodes across 3 domains
Services + Field
NRE: $56K ($38K – $78K) · Schedule: +7dChange signal
SLA policy revision: P1 response window 4h to 2h - 14 open work orders
Impact surface
14 work order SLA re-assessments; 6 dispatch schedule replans; 4 billing milestone adjustments; 3 technician certification renewals
Blast radius
29 nodes across 4 domains
Aerospace & Defense
NRE: $86K ($62K – $118K) · Schedule: +90dChange signal
Serialized part revision: Turbine blade alloy change - 47 active serial units
Impact surface
8 FAI re-executions; 4 depot certification renewals; 3 program configuration updates; 47 serial unit disposition reviews
Blast radius
64 nodes across 5 domains
Data Centers + Infrastructure
NRE: $92K ($71K – $121K) · Schedule: +12d · +$340/moChange signal
Rack decommission: RACK-DC2-R14 - 9 services, 2.8 kW power draw
Impact surface
9 service migration validations; 2 PDU circuit provisions; 3 VLAN reassignments; 2 SLA protection verifications
Blast radius
47 nodes across 5 domains
Key capabilities
Active intelligence for every operational change.
Every proposed change gets a complete analysis, actionable deliverables, and a governance trail so your team can act with confidence instead of chasing impact manually.
Analysis
Understand every dimension of a change before it happens.
Change impact computation
See everything a change touches, instantly.
Preview mode
Explore 'what if?' scenarios safely before committing.
Severity scoring
Know which impacts are critical and which are routine.
Cross-change collisions
Detect when concurrent changes create conflict and triage them.
Run-to-run diff
Compare two analysis snapshots to see exactly what changed: nodes added, removed, severity shifts.
Output
Actionable deliverables generated from every analysis.
Proof paths
Explain why any artifact is impacted, auditable at every hop.
Verification packs
Generate draft validation plans, doc packages, checklists, and acknowledgements.
Cost of change
Uncertainty ranges (min/likely/max) with schedule impact. Calibrated from your operational data.
NRE + recurring cost split
Separate one-time change costs from per-unit COGS impact. See both in every estimate.
Export & integrate
JSON, CSV, GraphML export for PLM, ticketing, and compliance tools.
Governance
Control, customize, and audit every analysis.
Effectivity-aware
Respect grandfathering, replan, lot-only, and serial-range policies.
Configurable templates
A configurable rule engine drives which verification artifacts get generated. Tenants author, test, and version templates.
LLM-assisted authoring
AI suggests new dependency edges, drafts impact narratives, and proposes template rules. Always human-reviewed before activation.
Immutable audit trail
Every analysis preserved forever with full reproducibility.
Impact Intelligence proof points
Operational scale that makes impact analysis possible.
VGE runs on tenant-owned data: schema depth, API breadth, and deterministic telemetry that keeps change reviews consistent.
Domain providers
15+
5 cross-industry baseline + 10 domain-specific providers (composition structures, compliance, verification, 3D/geometric, procurement, inventory, capital assets, execution chains), each self-describing with SemVer and cost tiers.
Sync analysis
≤2s
Typical graph traversal (≤1K nodes) with batch-first providers and per-request caching.
Async analysis
≤30s
Complex traversals (≤10K nodes) with optional Redis acceleration and per-provider timing.
API preview
Schema-stable endpoints for impact intelligence.
Impact Intelligence is designed as a tenant-owned API surface with preview-first semantics, deterministic run snapshots, and export-ready results.
Preview vs apply
- Preview mode is the default for all analysis endpoints. Explore change impact, verification packs, and cost estimates without mutating data.
- Apply mode uses idempotency keys to persist artifacts safely. Calling apply twice with the same key returns the same result.
- Cost estimates are always persisted as immutable snapshots. Draft quotes are generated from estimates, never independently.
POST Create impact analysis run
Seed a new analysis for any proposed change. Preview mode is the default. Pass an Idempotency-Key header to safely retry.
POST /api/v1/change-controls/{id}/impact/run The ChangeControl record (created separately) carries the change details. The run endpoint triggers traversal across all configured providers.
Request
{
"detect_collisions": true
} Response
{
"run_id": 312,
"status": "COMPLETED",
"node_count": 42,
"edge_count": 67,
"elapsed_ms": 1240
} GET Get latest impact snapshot
Retrieve the latest completed impact snapshot with scored nodes, edges, and summary statistics.
GET /api/v1/change-controls/{id}/impact Response
{
"schema_version": "vge.graph_result.v1",
"run_id": 312,
"nodes": [
{
"node_ref": {
"resource_type": "bom_assembly",
"display_code": "HSG-2847-REV-C",
"status": "Active"
},
"severity": 0.95,
"depth": 0
},
{
"node_ref": {
"resource_type": "quality_gate",
"display_code": "QG-7821",
"status": "Invalidated"
},
"severity": 0.93,
"depth": 1
}
],
"stats": {
"node_count": 42,
"edge_count": 67,
"provider_counts": {
"bom": 8,
"compliance": 12,
"execution": 15
}
}
} GET Explain impact path
Trace why a specific node is impacted. Returns every hop from the seed change to the target node with edge types, providers, and evidence.
GET /api/v1/change-controls/{id}/impact/explain Query parameter: ?node_key=quality_gate:7821
Response
{
"run_id": 312,
"target_node_key": "quality_gate:7821",
"path": [
{
"edge_type": "CONTAINS",
"provider": "bom",
"from": "sku:HSG-2847",
"to": "bom_assembly:284701"
},
{
"edge_type": "VERIFIED_BY",
"provider": "compliance",
"from": "bom_assembly:284701",
"to": "quality_gate:7821"
}
]
} GET Detect cross-change collisions
Find where other active changes overlap the same impact surface. Returns colliding change IDs, overlapping nodes, and collision severity.
GET /api/v1/change-controls/{id}/impact/collisions Response
{
"collision_count": 2,
"collisions": [
{
"change_control_id": 415,
"overlapping_nodes": 7,
"collision_severity": 0.82
},
{
"change_control_id": 423,
"overlapping_nodes": 3,
"collision_severity": 0.45
}
]
} GET Compare two analysis runs
Diff any two snapshots to see nodes added or removed, edges changed, and severity shifts. Useful for tracking how impact evolves as a change is refined.
GET /api/v1/change-controls/{id}/impact/diff Query parameters: ?run_a=310&run_b=312
Response
{
"run_a_id": 310,
"run_b_id": 312,
"nodes_added": 3,
"nodes_removed": 1,
"severity_changes": [
{
"node_key": "quality_gate:7821",
"old": 0.88,
"new": 0.93
}
]
} POST Generate verification pack
Generate draft verification artifacts from the latest impact run. Preview mode returns proposed actions without persisting. Apply mode creates artifacts with an idempotency key.
POST /api/v1/change-controls/{id}/verification-pack/generate Request
{
"mode": "preview"
} Response
{
"mode": "preview",
"artifacts": {
"validation_plans": 3,
"document_packages": 1,
"acknowledgement_tasks": 2,
"operation_checklists": 4
},
"summary": "10 verification artifacts proposed across 4 types"
} POST Compute cost-of-change estimate
Compute NRE and recurring cost estimates with uncertainty ranges and schedule impact. Each estimate is persisted as an immutable snapshot.
POST /api/v1/change-controls/{id}/cost-estimate Response
{
"estimate_id": 88,
"total_nre": {
"min": 72000,
"likely": 87000,
"max": 104000
},
"delta_unit_cost": {
"min": 0.65,
"likely": 0.85,
"max": 1.12
},
"schedule_impact": "+12d",
"confidence": 0.78,
"line_items": 14
} POST General-purpose graph traversal
Run a traversal from any seed nodes without a change control. Useful for exploratory queries, dependency mapping, and custom tooling.
POST /api/v1/graph/traverse Request
{
"seeds": [
{ "resource_type": "sku", "resource_id": 2847 }
],
"ctx": {
"max_depth": 4,
"direction": "outbound",
"compute_severity": true
}
} Response
{
"schema_version": "vge.graph_result.v1",
"nodes": [
"...42 nodes..."
],
"edges": [
"...67 edges..."
],
"stats": {
"node_count": 42,
"edge_count": 67,
"truncated": false
}
} GET Export impact graph
Download a persisted impact graph as JSON, CSV, or GraphML for integration with PLM tools, ticketing systems, or compliance portals.
GET /api/v1/impact-analysis-runs/{run_id}/export Query parameter: ?format=graphml
Response
{
"format": "graphml",
"content_type": "application/graphml+xml",
"size_bytes": 48200
} Preview endpoints reflect the planned VGE surface. Final routes may adjust as the engine deploys to production.
FAQ
Answers for governance, quality, and engineering teams.
Is this a separate graph database?
No. VGE queries your existing operational data at runtime. No data migration, no sync, no drift.
How fast is it?
Optimized for low-latency traversal with automatic async handoff for complex graphs. Per-provider diagnostics included in every response.
Can we preview impact without committing changes?
Yes. Preview mode is the default, letting teams explore change impact, verification packs, and cost ranges before apply mode persists artifacts.
Can we customize the scoring?
Yes. Severity parameters are tenant-configurable to match your risk profile.
Are cost estimates reliable?
They produce uncertainty ranges (min/likely/max) with confidence scores, not false precision. Estimates calibrate from your actual operational data over time.
How are cross-change collisions handled?
Overlapping change impacts are detected and routed into triage workflows. High-severity collisions automatically create triage entries for human review, so they drive action, not just warnings.
What about data I can't model in standard tables?
Tenant-defined dependency edges let you model abstract dependencies (e.g., Marketing Claim to Test Result) with rationale and supporting evidence. The engine treats them identically to automatically detected dependencies.
How does this differ from PLM impact analysis?
PLM tools analyze design data in isolation. VGE traverses across all domains in a single computation, and it works for non-manufacturing industries too:
- Design
- Manufacturing
- Quality
- Procurement
- Compliance
Can we export results?
Yes. JSON, CSV, and GraphML formats for integration with PLM tools, ticketing systems, compliance portals, and custom dashboards.
How do verification templates work?
Templates use a configurable rule engine to match change characteristics and automatically generate the right verification artifacts:
- Match on impacted resource types, severity thresholds, and change categories
- Versioned and validated before activation
- Evaluation traces explain exactly why each template matched
- Tenants can copy, modify, and version their own templates
Can we compare two impact analyses?
Yes. The run-to-run diff endpoint compares any two snapshots and returns:
- Nodes added or removed
- Edges added or removed
- Severity changes across impacted nodes
How does LLM assist work?
LLM assist is always human-reviewed before activation. LLM outputs are assistive, never auto-applied, and prompt metadata is stored for audit. Capabilities include:
- Suggest new dependency edges
- Draft plain-language impact summaries
- Propose template rules as JSON
- Generate customer-facing cost justification narratives
How does cost estimation separate one-time from recurring costs?
Every cost line item is tagged as one of two types, so procurement and finance teams see both dimensions with uncertainty bounds:
- NRE (non-recurring): asset reconfiguration, documentation updates, replanning
- Recurring (per-unit delta): material cost changes, added verification steps
Can we trigger external systems when analysis completes?
Yes. VGE publishes domain events you can subscribe to via webhooks, triggering notifications, cache invalidation, or downstream workflows in your PLM, ERP, or ticketing system:
- Analysis completed
- Collision detected
- Verification pack generated
- Cost estimate computed
- Quality gate invalidated