For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight detects Phase III delay patterns 4 weeks before they hit your steering committee.
Trial data lives in CTMS, EDC, and spreadsheets. Aversight reads them all, detects enrollment risks weeks before your CRO reports them, and delivers insights into your existing dashboards.
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.
Your Clinical Research Associates are stretched across multiple trials. Capacity conflicts surface too late — when enrollment targets are already missed.
Site-by-site enrollment data lives in spreadsheets and CTMS exports. Deviation from plan is invisible until the quarterly review reveals a 6-week gap.
Protocol amendments, IB updates, and regulatory submissions pile up. Each delayed document creates a cascading effect on your regulatory timeline.
Detects when CRAs are overallocated across parallel trials before capacity gaps hit enrollment.
Tracks site-level enrollment velocity against targets and flags deviations early.
Monitors the rate and impact of protocol amendments on your overall trial timeline.
Tracks regulatory document queues and flags growing backlogs before they delay submissions.
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.
Real-time trial recruitment rates to benchmark your enrollment pace against industry averages.
Approval cycle tracking to model regulatory risk and anticipate submission bottlenecks.
Competitor trial landscape data to understand site competition and enrollment pressure.
Site accessibility impact modeling to predict weather-driven disruptions at trial locations.
"What if enrollment drops 30% at 3 sites?"
"We caught a Phase III enrollment gap 5 weeks before it would have hit our steering committee. Aversight paid for itself in the first quarter."
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 enrollment data from CTMS into spreadsheets every week, watching site performance deteriorate with no tools to predict where delays will hit next. With Aversight, you become the analyst who called the Phase III enrollment delay 6 weeks early — and saved the study €5M.
If you're a Risk Manager
Your risk reports reach the steering committee too late to change anything. By the time they read it, the delay is already a crisis. With Aversight, you present risks with AI-backed predictions that the committee acts on immediately — because you're 4 weeks ahead of the problem.
If you're a Director / VP
You lose political capital every time a trial timeline slips. Your team does great work, but the value is invisible until something goes wrong. With Aversight, you can quantify risks prevented — and justify the headcount your team needs.
If you're a CFO / CRO
Every month of trial delay costs €500K–2M. Aversight doesn't just track risks — it predicts which ones will materialize, so you can allocate budget to prevention, not firefighting.
Career impact, not just project impact
Clinical operations analyst flagged enrollment anomalies at 3 trial sites 6 weeks before the CRO's monitoring caught them. Study stayed on timeline. Promoted to Senior CRA within a year.
Clinical Operations Analyst, top-20 pharma R&D
Risk director presented AI-backed risk predictions to the steering committee instead of static registers. Committee now schedules monthly risk intelligence sessions — and approved 2 additional headcount.
Risk Director, global pharma R&D
VP of Clinical Operations used accumulated pattern data from 4 completed trials to redesign the site selection process for Phase III. Enrollment prediction accuracy improved by 35%.
VP Clinical Operations, top-20 pharma R&D
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 losing political capital to trial delays that could have been caught 6 weeks earlier.
Gets Smarter Over Time
After 6 months, Aversight recognizes site performance patterns across all active trials — predicting enrollment delays before they happen, based on early signals that took your CRAs years to learn.
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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