For Risk Managers · PMO Leads · BI Teams · Decision Makers
Aversight detects IT program overrun patterns 4 weeks before they hit your steering committee.
Your project data lives in Jira, Azure DevOps, ServiceNow, and SAP. Aversight reads them all, detects velocity anomalies and dependency risks weeks before your status reports surface 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.
Jira, Azure DevOps, ServiceNow, SAP, Confluence — each holds a piece. No single system shows the full risk picture across your digital portfolio.
Sprint completions look healthy, but cross-team dependencies, tech debt accumulation, and integration risks compound invisibly.
200+ Jira notifications per day. The signal that predicts a €3M overrun gets buried in noise.
Detects when completion rates diverge from historical baselines across teams.
Maps blocking dependencies and flags cascade effects before they delay delivery.
Monitors deployment frequency, rollback rates, and incident correlation.
Identifies when teams are stretched across too many parallel initiatives.
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.
Compare your program costs against industry averages by category.
Talent availability and skill gap signals for technology decisions.
Security risk signals for dependencies in your technology stack.
AWS/Azure/GCP incident data to model infrastructure dependency risk.
“What if your core API team loses 2 senior engineers mid-sprint?”
“We caught a cross-team dependency risk in our platform migration 4 weeks before it would have cascaded into a 3-month delay. Aversight turned a potential €5M overrun into a 2-week course correction.”
Stop drowning in tool notifications. Start delivering intelligence that shapes transformation strategy.
Present unified risk data across Jira, Azure DevOps, and ServiceNow — 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 Jira and ServiceNow into spreadsheets every sprint, watching velocity metrics deteriorate with no tools to predict where delays will hit next. With Aversight, cross-system patterns are detected automatically — and you become the analyst who called the platform migration delay 6 weeks early.
If you're a Risk Manager
Your risk assessments reach the steering committee after the sprint is already done. By the time they read it, the delay is already a crisis. With Aversight, you present AI-backed predictions 4 weeks ahead — and the committee acts immediately because the data is undeniable.
If you're a Director / VP
You lose credibility when IT programs overrun after your team flagged no issues. Your people do great work, but the value is invisible until something goes wrong. With Aversight, you quantify risks prevented and justify transformation budgets with data.
If you're a CTO / CIO
Every delayed migration costs political capital. Aversight predicts which programs will escalate — so you allocate resources to prevention, not firefighting.
Career impact, not just project impact
BI analyst connected Jira velocity data with ServiceNow incident trends and flagged a cross-team dependency risk 5 weeks before the program review. Migration stayed on schedule. Promoted to Senior BI Engineer within 8 months.
BI Analyst, enterprise software vendor
Risk director presented AI-backed predictions to the transformation steering committee instead of static status reports. Committee now schedules monthly risk intelligence sessions — and approved 3 additional headcount for the PMO.
Risk Director, platform technology company
VP of Engineering used accumulated pattern data from 6 completed migrations to redesign the resource allocation process for cloud transformations. Program delivery predictability improved by 40%.
VP Engineering, global hardware & infrastructure vendor
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 CTO wants:
Competitive intelligence, not status report overhead. Pattern recognition across the portfolio identifies which transformations will succeed — and which need intervention now.
Without Aversight?
You stay stuck with fragmented tool data, sprint reports that mask systemic risk, and steering committees where you present status updates that executives politely ignore. The analyst stays invisible. The risk manager stays excluded. The director keeps losing political capital to IT overruns that could have been caught 4 weeks earlier.
Gets Smarter Over Time
After 6 months, Aversight recognizes delivery patterns across all active programs — predicting overruns before they happen, based on early signals that took your PMO leads 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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