For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight gives consumer goods and retail leaders AI-powered early warnings across their entire project portfolio.
Launch timelines, supplier quality, market risks — tracked in 10 different tools. Aversight unifies the intelligence without unifying the tools.
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.
Coordinating product launches across multiple markets means dozens of parallel timelines. A delay in one market creates ripple effects across the entire launch calendar.
Supply chain digitization and restructuring projects involve multiple vendors, systems, and sites. Complexity hides risk until it surfaces as a missed go-live date.
Marketing, supply chain, R&D, and operations all contribute to launches — but dependencies between these teams are tracked manually, if at all.
Monitors launch timelines across markets and flags deviations before they cascade.
Maps dependencies across supply chain transformation workstreams and flags critical path risks.
Detects when key resources are stretched across parallel market launches creating bottlenecks.
Tracks vendor commitments against delivery and flags emerging delays across the supply chain.
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.
Demand forecasting data to anticipate shifts in consumer spending and launch timing.
Launch timing optimization based on historical seasonal peaks and promotional windows.
Packaging and ingredient cost tracking to model budget sensitivity to input prices.
Distribution readiness monitoring to ensure shelf availability aligns with launch dates.
"What if APAC launch is delayed by 6 weeks?"
"The first 6-week pilot showed us the system really works. We course-corrected two product launches early that would otherwise have significantly overrun their timelines."
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 track supplier quality, launch timelines, and market risks in 10 different tools. Nobody sees the connections. With Aversight, you become the analyst who flagged the seasonal supplier risk that would have caused a stock-out during peak season — and saved the launch.
If you're a Risk Manager
Your launch risk assessments are a checkbox exercise nobody reads until something goes wrong. With Aversight, you present AI-scored risks with specific actions — and the launch team starts asking for your input instead of avoiding it.
If you're a Director / VP
Every failed product launch is a career risk. You coordinate across procurement, quality, marketing, and logistics — but risk visibility is fragmented. With Aversight, you see the entire launch risk surface in one place, updated daily.
If you're a CFO / CRO
A failed product launch costs €5–50M in write-offs, reputation damage, and recovery. Aversight catches the supply chain patterns, quality signals, and timeline risks that predict launch failures — weeks before they become write-offs.
Career impact, not just project impact
Supply chain analyst flagged a seasonal supplier reliability pattern that would have caused a stock-out during the holiday peak. Launch stayed on track. Got a 30% budget increase and a seat at the supply chain leadership table.
Supply Chain Analyst, global FMCG portfolio
Brand risk manager used AI recommendations to restructure the launch risk review process. Launch delays dropped by 45% across the portfolio. Promoted to Head of Portfolio Risk.
Brand Risk Manager, consumer goods brand
VP of Procurement used cross-supplier pattern intelligence to renegotiate 3 critical contracts. Saved €8M annually and reduced supply disruption risk by 60%.
VP Procurement, global consumer goods brand
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 assessments stay unread. The director keeps discovering supply chain failures at the moment of the stock-out, not 6 weeks before it.
Gets Smarter Over Time
Seasonal risk patterns, supplier reliability scores, launch delay predictors — all accumulated automatically. Your next product launch benefits from every previous one.
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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