For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight detects burn rate anomalies and cost trajectory deviations weeks before they breach thresholds — across your entire project portfolio.
Your budget data already lives in SAP, Excel, and project tools. Aversight connects read-only and detects overrun patterns weeks before they surface in financial reports.
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.
Monthly reporting cycles miss weekly acceleration. By the time the next review comes around, the overrun has been building for weeks — completely undetected.
By the time you hit 80% budget at 60% progress, it's already critical. Traditional alerts are backward-looking — they tell you what already happened, not what's about to.
The same overrun pattern repeats across projects without anyone connecting the dots. Teams make the same mistakes because no system learns from portfolio-wide history.
Aversight tracks your burn rate weekly — not monthly — and flags acceleration patterns before they cross critical thresholds.
Based on current burn rate and remaining scope, Aversight projects the likely final cost — and alerts you when it diverges from plan.
The AI learns from your entire portfolio history. When a project shows a pattern that previously led to overruns, you get an early warning.
Unusual vendor invoicing patterns, scope creep in subcontracts, and cost spikes are automatically detected and flagged for review.
Stop being the person who presents problems. Start being the person who presents solutions with data executives can't ignore.
Calculate your ROI →Your risk data already contains the answers. Aversight makes them visible — so you can act weeks earlier than your competitors.
Take the Free Maturity Check →For the Analyst
You compile budget vs. actuals from 5 systems every month. Nobody acts until the overrun is already a crisis. Aversight makes you the analyst who spotted the acceleration pattern 3 weeks before finance did.
For the Risk Manager
You flag budget risks, but project teams ignore them until it’s too late. With Aversight, your warnings come with AI-scored trend data that’s impossible to dismiss.
For the Director
You report budget status to the board quarterly — by then, the overrun is baked in. With Aversight, you catch budget acceleration patterns weekly and intervene before the variance becomes a headline.
Gets Smarter Over Time
After 30 days, Aversight detects budget acceleration patterns weeks before they appear in financial reports. By month 3, it predicts which project profiles lead to overruns.
The average project overrun costs €2.3M. Calculate what earlier detection saves you →
30 seconds — and we'll get back to you within 24 hours. No sales pitch, just an honest conversation about your budget 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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