For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight helps energy and resource companies detect portfolio risks before they escalate into costly delays.
Capital projects generate data across SAP, Primavera, and dozens of contractors' systems. Aversight connects read-only and finds the patterns that predict cost overruns.
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.
Energy projects involve dozens of stakeholders — regulators, contractors, communities. A delay in one dependency cascades across the entire program.
When a key supplier slips by two weeks, the ripple effect across interconnected work packages can add months. These cascades are invisible until they hit.
Permits, environmental assessments, and regulatory approvals follow their own timelines. Drift in any one of these can halt an entire project overnight.
Tracks supplier commitments against actual delivery and flags emerging delays early.
Monitors regulatory and permit timelines to detect drift before it blocks construction.
Compares spending velocity against milestone completion to catch overruns early.
Detects when key resources are stretched across parallel projects creating bottlenecks.
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.
Construction window impact modeling to predict weather-driven delays at project sites.
Project economics sensitivity analysis based on real-time energy price fluctuations.
Regulatory timeline tracking to anticipate permit delays before they stall construction.
Steel, copper, and concrete price tracking to model budget sensitivity to material costs.
"What if primary supplier delivers 4 weeks late?"
"What convinced me: no new software to introduce. Aversight sits directly on our SAP and Power BI — that was much easier to push through internally than any other tool."
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're buried in contractor reports and SAP exports, trying to spot cost trends across a €200M programme. With Aversight, you become the analyst who identified the contractor-weather pattern that predicted 72% of milestone delays — and got promoted to lead the risk analytics team.
If you're a Risk Manager
You present risk registers that executives politely ignore. The quarterly review happens, everyone nods, then the same risks escalate next quarter. With Aversight, you present AI-scored risks with trend data that makes executives act — because the patterns are undeniable.
If you're a Director / VP
Your capital programme has 15 contractors, 3 systems, and zero unified risk visibility. You find out about problems when they're already crises. With Aversight, you see every project's risk trajectory daily — and your board gets intelligence, not surprises.
If you're a CFO / CRO
Capital project overruns average 2.3x in your industry. Aversight catches the early signals — budget acceleration, milestone drift, resource conflicts — weeks before they become the €50M variance your board asks about.
Career impact, not just project impact
Risk engineer on a €400M plant expansion identified a contractor-weather pattern that predicted 72% of milestone delays. Programme saved €3.8M in avoided overruns. Now leads the risk intelligence function for all capital projects.
Risk Engineer, integrated oil & gas major
Junior analyst went from pulling SAP reports into Excel to presenting AI-scored risk dashboards to the programme board. Executives now call her directly for risk updates — skipping two management levels.
Project Analyst, integrated oil & gas major
HSE director used cross-project pattern data to predict which construction phases had the highest incident probability. Lost-time incidents dropped 40% in 6 months.
HSE Director, upstream exploration operator
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 stays excluded. The director keeps finding out about €50M overruns from the board, not from their own team.
Gets Smarter Over Time
Aversight's knowledge base grows with every capital project. By month 6, it predicts which contractor-phase combinations lead to cost escalation — intelligence that survives team turnover.
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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