For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight gives manufacturing and automotive leaders AI-powered visibility into project portfolio risks — before the steering meeting.
Shop floor, ERP, quality systems — your data already exists. Aversight's intelligence layer connects the dots across plants, projects, and supply chains.
From mid-market teams to global enterprises. No minimum project count.
Nine real views — from the overall portfolio picture down to the Monte Carlo engine running underneath. Jump to what matters for your role, or scroll through the whole thing. Nothing hidden.
Budget burn on Alpha-7 has reached 1.4× plan at 47% timeline — well above the 1.3× threshold. Three milestones are overdue and the Lead Solution Architect is at 115% allocation. Pattern escalation_predictor matches 14 historical projects with similar overrun outcomes.
One view. Every signal, every alert, every trend. The shape of your portfolio in under five seconds — before your first meeting. Click into any cell to see the raw evidence.
Every alert reads like a memo, not a log line. A concrete driver. A confidence score. A recommended action. Your inbox becomes a decision queue — not a problem feed.
The EU AI Act is here. Aversight is built around transparent scoring. Every alert shows the rule ID, the raw data points that fired it, the historical pattern it matched, and the exact LLM output — with prompt and logs preserved.
Your Gantt — but with intelligence baked in. Red bars are flagged projects. Flags mark active alerts. The “today” line moves itself. Drag-through any bar and Aversight pulls the raw ticket, PO, or minute behind the slippage.
Aversight is middleware — it sits between your data sources and your outputs. No new dashboard to own. No data migration. Intelligence lands as standard formats in whichever channel your team actually uses every day.
The more signal diversity, the sharper the intelligence. Aversight reads from 8+ enterprise systems out of the box — tickets, ERP records, files, emails, calendars — and 40+ more via REST.
Every Monday, a one-pager lands in your inbox. Top risks. Client-ready language. Forward it to the steering committee without reformatting. White-label mode puts your logo on it for external engagements.
Typical engagement path: read-only connections in week two, first audit-ready alert by week four, pattern detection from month three, predictive intelligence by month six. Your practice bills faster because the intelligence is live earlier.
Every night, Aversight runs 10,000 Monte Carlo simulations per active project. Worst case, median, best case — with the drivers that move the outcome most, ranked. No black box: every assumption is surfaced, editable, and logged for audit.
The deterministic layer. Every rule is written in plain language, version-controlled, reviewed by Legal and the AI Committee, and test-covered. You see exactly what would fire, why it would fire, and its historical precision — before you promote it to production.
The statistical layer. Every active project is embedded into a 248-feature vector and ranked against 1,240 completed projects from your organization. When the closest historical matches overran — you get warned. When the match pattern was a false positive last time — the engine remembers and downweights it.
The generative layer sits on top of rules and patterns. Claude Sonnet 4.6 turns the deterministic output into plain-language actions — but only using data the rules engine and ML already verified. No hallucination layer. Every prompt and output is logged for 7-year audit retrieval.
Plant expansions and equipment upgrades burn budget steadily — but deviations only surface at the quarterly review, when it's too late to course-correct.
Multi-site ERP migrations involve dozens of dependencies between plants. A delay at one site cascades across the entire rollout timeline.
Retooling and production line changeovers must hit narrow windows. Slippage creates cascading delays in product launch schedules and customer commitments.
Compares capital expenditure velocity against physical milestone completion in real time.
Tracks cross-plant dependencies in ERP rollouts and flags emerging timeline conflicts.
Monitors ramp-up curves against plan and detects when production targets are at risk.
Tracks critical equipment and material deliveries to catch supply chain delays early.
Powered by three autonomous intelligence layers: deterministic rules for auditability, statistical ML for pattern detection, and LLM for actionable recommendations. All three run continuously — no manual trigger required.
Steel, aluminum, and raw material price tracking to model budget sensitivity to input costs.
Manufacturing activity indicators to anticipate demand shifts and supply chain stress.
Logistics delay tracking to predict delivery bottlenecks before they impact production.
Machinery delivery forecasts to plan procurement windows and avoid production gaps.
"What if steel prices increase 15%?"
"Aversight reduced our weekly risk reporting from 4 hours to 20 minutes. The system detects things we previously only saw at the steering meeting."
Stop presenting threats that executives ignore. Start presenting intelligence that drives decisions.
Present risk data that your CFO understands and acts on — in 20 minutes instead of 4 hours.
Show your leadership the ROI before you ask for investment. The numbers speak for themselves.
Every role benefits
If you're an Analyst
You pull data from SAP, QMS, and 4 spreadsheets to create quality risk reports that sit in a SharePoint folder unread. With Aversight, you become the analyst who discovered the supplier-plant-season pattern that prevented 3 product recalls — and got invited to the executive quality board.
If you're a Risk Manager
You maintain risk registers that feel like busywork. Nobody reads them until something goes wrong — then everyone asks why you didn't warn them. With Aversight, your warnings come with AI-scored evidence and trend data. People listen because the patterns are impossible to dismiss.
If you're a Director / VP
You run quality and risk across 6 plants but can't see cross-plant patterns. Each site manages risk in isolation. With Aversight, you see the portfolio — the supplier who's a problem at 3 plants, the seasonal pattern that hits every Q2, the resource conflict nobody noticed.
If you're a CFO / CRO
One product recall costs more than a decade of risk management. Aversight turns your quality function from a compliance checkbox into an early warning system with measurable ROI — in prevented incidents, not just reports filed.
Career impact, not just project impact
Quality analyst discovered that a specific supplier-plant-season combination predicted 85% of quality incidents. Three potential product recalls prevented. Invited to the executive quality board — first analyst ever.
Quality Analyst, heavy-equipment manufacturer
Risk manager went from maintaining ignored risk registers to presenting AI-scored evidence that executives act on. Department budget increased 40% because the prevented-cost data was undeniable.
Risk Manager, European industrial manufacturer
Plant manager used cross-site pattern intelligence to redesign the Q2 maintenance schedule. Unplanned downtime reduced by 28% — worth €4.2M annually.
Plant Manager, European automotive OEM
Your CFO wants:
Prevention, not firefighting. Aversight turns risk from a cost center into measurable savings — with data your CFO can put in the board deck.
Your CRO wants:
Competitive intelligence, not compliance overhead. Pattern recognition across the portfolio identifies opportunities, not just threats.
Without Aversight?
You stay stuck with manual spreadsheets, quarterly reports that arrive too late, and meetings where you present risks that executives politely ignore. The analyst stays invisible. The risk manager's warnings go unheeded until the recall. The director keeps finding out about cross-plant patterns when they've already become production crises.
Gets Smarter Over Time
Cross-plant pattern intelligence: "When supplier X delivers to Plant Y during Q2, quality incidents increase 3x." The kind of insight that requires seeing everything, remembering everything.
The average project overrun costs €2.3M. Calculate what earlier detection saves you →
Connects to Your Existing Stack
Read-only. No data migration. Your teams keep working as before.
30 seconds — and we'll get back to you within 24 hours. No sales pitch, just an honest conversation about your challenges.
This dashboard is our demo lens. In production, scores and alerts live in your Power BI, your inbox, your workflows.
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