Industrial IQ | AI2COE | FinanceMind AI
FinanceMind AI Working Capital Report
43.0Working capital score
Material RiskRisk level
Medium ConfidenceConfidence
10Evidence records
Source mode: Sample dataset result. Sample results demonstrate workflow and report structure; uploaded-data results replace assumptions with customer source evidence.
Score interpretation: Lower health or readiness scores indicate higher unresolved exposure, weaker readiness, or stronger review need. Scores are deterministic and derived from mapped source fields, findings, evidence, and component inputs.
Executive interpretation: Focus on asset integrity, turnaround readiness, working capital exposure, and audit-safe ERP preparation.
Report delivery and governance controls
Email
Report email path
Authenticated Industrial IQ runs attempt branded report email delivery and retain delivery status in the platform report inventory.
Review
Human review required
Low-confidence or high-impact findings should be accepted, rejected, assigned, deferred, or marked needs-more-data before remediation.
ERP safety
No ERP write-back
Industrial IQ produces evidence and recommendations only. It does not autonomously change SAP, Maximo, Oracle, EAM, CMMS, procurement, inventory, or asset records.
CFO command view
188523.75Capital exposure signal
22622.85-52786.65Recoverable range
33934.28Annual leakage signal
Material RiskBoard attention band
Diagnostic components
154200.0TOTAL INVENTORY VALUE
53970.0DUPLICATE CAPITAL AT RISK
33924.0CARRYING COST ESTIMATE
0.0EMERGENCY PREMIUM
10547.28ROI SCENARIO LOW
24610.32ROI SCENARIO HIGH
active_deterministic_evidence_engineDIAGNOSTIC DEPTH
2REQUIRED FIELDS MAPPED
Score formula: 100 - min(85, exposure/total_inventory_value*100) Random score used: False
| Score input | Value |
|---|---|
| total inventory value | 154200.0 |
| duplicate capital at risk | 53970.0 |
| carrying cost estimate | 33924.0 |
| emergency premium | 0.0 |
| roi scenario low | 10547.28 |
| roi scenario high | 24610.32 |
| required fields mapped | 2 |
| optional fields mapped | 8 |
| source rows profiled | 24 |
| estimated row value total | 154200.0 |
| financial rows without value | 0 |
| high value exposure rows | 1 |
| working capital signal | 33924.0 |
| recoverable value signal | 27756.0 |
Product maturity and competitive depth
Competitive position: Differentiates from MDM and optimization tools by translating operational findings into finance-governed, assumption-transparent decision evidence.
| Priority | Implemented product capability |
|---|---|
| P0 | Duplicate capital-at-risk, carrying cost, emergency premium, and exposure consolidation.; Finance assumptions panel: carrying-cost %, recoverable %, review acceptance %, emergency premium %, and limitation labels.; CFO report output that separates benchmark, estimate, uploaded-data result, and confidence tier. |
| P1 | ROI scenario builder, high-value exposure queue, board summary, and site financial concentration.; Value realization tracker: identified, reviewed, accepted, resolved, remaining.; Renewal value report tied to action completion and score movement. |
| P2 | Multi-site CFO cockpit with exposure trend, recovery assumptions, and audit-ready limitation notes.; Capital stewardship benchmark by industry and asset intensity.; Board-ready narrative pack for recurring intelligence renewal. |
ICP packaging
| Package | Engines | Decision supported |
|---|---|---|
| CFO Pack | FinanceMind AI, PartsCleanse AI, InventoryMind AI, ProcureMind AI | Fund value realization only after capital exposure, carrying cost, procurement leakage, and review confidence are visible. |
| Procurement Pack | ProcureMind AI, PartsCleanse AI, InventoryMind AI, FinanceMind AI | Convert supplier, PO, duplicate stock, and price-variance evidence into sourcing action without unsupported savings claims. |
Advanced product insights
| Product output | Diagnostic value |
|---|---|
| finance assumptions | {"carrying_cost_percent": "22% default unless uploaded carrying_cost_rate is provided", "emergency_premium_percent": "8-15% unless uploaded premium field exists", "recoverable_percent_base": "18% after human review", "recoverable_percent_high": "28% after human review", "recoverable_percent_low": "12% after human review", "review_acceptance_percent": "60% default planning assumption; not a claim"} |
| value realization ledger | {"accepted": 0, "identified": 188124.0, "ledger_status": "Ready for recurring upload and action tracker updates.", "remaining": 188124.0, "resolved": 0, "reviewed": 0} |
| board summary model | {"headline": "Working-capital exposure requires review before value is claimed.", "not_claimed": "No savings are claimed until findings are accepted and resolved by the customer.", "proof_required": ["source value", "confidence tier", "owner review", "accepted action", "resolved status"]} |
| site financial concentration | [["Plant-4", 51450.0], ["Plant-3", 39600.0], ["Plant-2", 36750.0], ["Plant-1", 26400.0]] |
Buyer committee views
CFO
Can quantified exposure justify a diagnostic or remediation budget?
FinanceMind AI shows 188523.75 as the current capital or leakage signal before owner review.
Next question: Which findings have enough confidence and value to enter the financial business case?
COO
Which findings threaten operational continuity, site readiness, or uptime?
2 high-attention findings require operational owner review.
Next question: Which findings must be resolved before the next outage, shutdown, or planning cycle?
CIO
Is the data ready for governed AI without ERP write-back risk?
Industrial IQ produced evidence from exports only and did not change ERP, EAM, CMMS, or procurement systems.
Next question: Which missing fields or governance gaps should be fixed in the next export?
Procurement
Where do supplier, purchase, or stocked-but-purchased signals need review?
Procurement actions should be evidence-led and routed through human review before supplier action.
Next question: Which supplier or purchase findings are defensible enough for category review?
Maintenance
Will spare availability and catalog quality support maintenance execution?
Maintenance should use the evidence queue to protect planned work and critical assets.
Next question: Which findings block planned work, shutdown readiness, or critical equipment coverage?
Board
Is this risk material enough to fund recurring diagnostic intelligence?
The result is diagnostic evidence, not an autonomous system change or unsupported ROI claim.
Next question: Should leadership fund the next diagnostic cycle, review queue, or remediation scope?
Evidence graph
Model: Source Record -> Finding -> Evidence -> Confidence -> Business Impact -> Recommended Action -> Review Status -> Report -> Score History
16 nodes | 15 evidence relationships. This graph links uploaded source rows to findings, confidence, business impact, recommended actions, report output, and score history.
Renewal value view
188523.75EXPOSURE IDENTIFIED
4REVIEW QUEUE SIZE
4ACTIONS CREATED
0ACTIONS REVIEWED
15081.9CONSERVATIVE VALUE REALIZATION
30163.8BASE VALUE REALIZATION
monthly for high-risk sites; quarterly for controlled sitesNEXT REVIEW CADENCE
Recurring value interpretation: Compare this run against the next upload to show exposure reviewed, actions completed, score movement, and remaining risk.
Findings
Trust control: Each finding must be interpreted with its confidence, evidence count, mapped fields, and source records. Similar-looking industrial records may still require owner review before action.
| Analyzer | Finding | Severity | Confidence | Evidence | Action |
|---|---|---|---|---|---|
| Duplicate Capital-at-Risk Estimator | 1 duplicate capital families identified | HIGH | 82% | 1 | Prioritize the top duplicate-value families for CFO and materials review. |
| Carrying Cost Estimator | Annual carrying-cost leakage signal calculated | MEDIUM | 75% | 24 | Use carrying-cost exposure to build the board-level remediation case. |
| Data Completeness Gate | 3 mapped fields need stronger coverage before recurring automation | MEDIUM | 68% | 8 | Improve field coverage or keep affected findings in human review until the next upload cycle. |
| Exposure Consolidation Engine | 1 rows concentrate working-capital exposure | HIGH | 82% | 1 | Prioritize high-value rows in the CFO working-capital review and tie actions to owner-approved recovery assumptions. |
Evidence records
| ID | Confidence tier | Severity | Description | Value | Source | Reason codes |
|---|---|---|---|---|---|---|
| E-f9e79299 | Medium Confidence | HIGH | 1 duplicate capital families identified | 13275.0 | row:23:MAT-005-023 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-fffb9f89 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 2925.0 | row:1:MAT-001-001 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-41509795 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 4400.0 | row:2:MAT-002-002 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-d5f0bd01 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 6125.0 | row:3:MAT-003-003 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-257ba08b | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 8100.0 | row:4:MAT-004-004 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-deaa7577 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 10325.0 | row:5:MAT-005-005 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-755f9781 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 6800.0 | row:6:MAT-000-006 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-74aaeefc | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 8775.0 | row:7:MAT-001-007 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-56e35959 | Medium Confidence | MEDIUM | 3 mapped fields need stronger coverage before recurring automation | 2200.0 | row:8:MAT-002-008 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-0150f05d | Medium Confidence | HIGH | 1 rows concentrate working-capital exposure | 13275.0 | row:23:MAT-005-023 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
Recommended actions
P0
Prioritize the top duplicate-value families for CFO and materials review.
Owner: CFO | Due: 30 days
P1
Improve field coverage or keep affected findings in human review until the next upload cycle.
Owner: CFO | Due: 60 days
P1
Use carrying-cost exposure to build the board-level remediation case.
Owner: CFO | Due: 60 days
P0
Prioritize high-value rows in the CFO working-capital review and tie actions to owner-approved recovery assumptions.
Owner: CFO | Due: 30 days
Mapping and validation
| Input | Source column | Completeness | Confidence | Reason |
|---|---|---|---|---|
| material_id | material_id | % | % | |
| stock_value | stock_value | % | % | |
| description | description | % | % | |
| quantity | quantity | % | % | |
| unit_cost | unit_cost | % | % | |
| duplicate_family | duplicate_family | % | % | |
| carrying_cost_rate | carrying_cost_rate | % | % | |
| emergency_premium | emergency_premium | % | % | |
| site | site | % | % | |
| currency | currency | % | % |
Source fit, AI match, and normalization
100%Source fit score
100.0%AI match score
100%Mapping readiness score
91.8%Diagnostic confidence score
Workbench interpretation: Source fit measures whether the uploaded file contains recognizable inputs. AI match measures column-mapping confidence. Diagnostic readiness measures whether the normalized mapped data can support trustworthy engine output.
| Quality signal | Value |
|---|---|
| source fit score | 100 |
| ai match score | 100.0 |
| diagnostic readiness score | 100 |
| required mapped | 2 |
| required total | 2 |
| optional mapped | 8 |
| optional total | 8 |
| required completeness | 100.0 |
| row count | 24 |
| column count | 33 |
| blockers | 0 |
| warnings | 0 |
| source fit band | Strong |
| ai match band | Strong |
| readiness band | Strong |
| diagnostic confidence score | 91.8 |
| diagnostic confidence band | Strong |
Normalization plan
| Engine field | Source column | Original sample | Normalized preview | Rule |
|---|---|---|---|---|
| Material Id | material_id | MAT-001-001 | MAT-001-001 | Trim whitespace, preserve leading zeroes, normalize item/material identifiers, and keep original source reference. |
| Stock Value | stock_value | 2925 | 2925 | Parse extended value, apply currency context where available, and label missing valuation. |
| Description | description | Oil & Gas pump bearing seal kit model 1 stainless 4 inch | OIL & GAS PUMP BEARING SEAL KIT MODEL 1 STAINLESS 4 INCH | Normalize case, abbreviations, punctuation, industrial units, specification tokens, and obvious spacing noise. |
| Quantity | quantity | 3 | 3 | Parse numeric quantity, keep negatives for audit context, and separate blank/zero from missing. |
| Unit Cost | unit_cost | 975 | 975 | Parse unit cost, retain source currency, and separate uploaded value from benchmark assumption. |
| Duplicate Family | duplicate_family | Missing | Missing | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Carrying Cost Rate | carrying_cost_rate | Missing | Missing | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Emergency Premium | emergency_premium | Missing | Missing | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Site | site | Plant-2 | Plant-2 | Normalize plant, site, storeroom, facility, depot, or operating-unit labels. |
| Currency | currency | USD | USD | Normalize ISO currency code or use country/system assumption with visible limitation. |
Assumptions and limitations
Assumptions
- Uploaded data is treated as the source of truth for this diagnostic run.
- No ERP write-back is performed. Outputs are recommendations and evidence records only.
- Financial estimates use uploaded values where available and conservative assumptions otherwise.
- Industry language is adjusted for Oil & Gas: plants, wells, refineries, shutdowns, turnarounds, and asset integrity.
- Workbench scores were calculated before and after engine execution: source fit 100%, AI match 100.0%, mapping readiness 100%, diagnostic confidence 91.8%.
- Public sample report: deterministic AI2COE sample data was used. Replace with uploaded customer data for customer-specific findings.
Limitations
- Results are diagnostic signals, not final accounting entries.
- Low-confidence findings require human review before remediation.
- Missing source fields reduce confidence and may suppress some analyzers.
- Benchmarks are labelled assumptions unless validated by uploaded data.