Project reporting runs on Excel. PMO leaders spend 4 hours per week manually compiling status reports. Risks are reported too late — when they've already escalated.
Power BI enters the enterprise. The data is there. But nobody analyzes patterns, detects anomalies, or warns proactively. The dashboard shows what was — not what's coming.
Your project data knows more than your PMO team can see. Praeveo brings that intelligence to light.
| Project | Status | Risk | Last updated | Owner |
|---|---|---|---|---|
| Plant Expansion North | ??? | high? | 3 weeks ago | M. Kowalski |
| Regulatory Audit Q2 | on track?? | ??? | 12 days ago | S. Klein |
| Clinical Trial Phase III | amber | — | 5 weeks ago | T. Hartmann |
| ERP Migration Wave 2 | see email | — | 2 weeks ago | A. Weber |
| Project | Status | Risk Score | Trend | Signal |
|---|---|---|---|---|
| Plant Expansion North | Critical | 87 | ▲ Rising | Budget burn +23% |
| Regulatory Audit Q2 | High | 73 | ▲ Rising | 2 milestones delayed |
| Clinical Trial Phase III | Medium | 58 | ▶ Stable | Resource gap detected |
| ERP Migration Wave 2 | Stable | 22 | ▼ Improving | On track |
Project teams in enterprises fight the same four problems daily — all sharing the same root cause.
That's how much earlier risks could be detected — before they land on the table at the next steering meeting.
Milestone delays, budget overruns, and resource bottlenecks announce themselves weeks in advance — in the data. But no one checks every project every day.
Praeveo continuously analyzes your portfolio and automatically flags critical signals — so your team can act before problems escalate.
See earlier →PMO leaders spend on average manually compiling status reports from Excel, SAP, and SharePoint.
Same thing every week: export data from SAP, merge in Excel, update Power BI, write the report. 4 hours no one gets back.
Praeveo generates your weekly risk report automatically — from your existing data, in your format, with zero manual effort.
Reclaim your time →of project experience is lost when senior project managers leave the company or move to other teams.
Which risks hit similar projects? Which suppliers are reliable? What did we get wrong last time? This knowledge lives in people's heads — not in systems.
Praeveo extracts patterns from your historical project data and makes experience searchable, shareable, and automatically usable.
Preserve knowledge →That's the average actual cost overrun for projects running without an early warning system.
Dashboards are backward-looking. They show current status, not direction. No system warns you before a project goes off track.
Praeveo combines live data with historical patterns and calculates daily for every project: what's the risk in the next 4 weeks?
Activate early warning →Detect Phase III delays 4 weeks early
Learn more →Catch burn rate anomalies before threshold breach
Learn more →Weekly reports that generate themselves
Learn more →AI risk scores for every project, every day
Learn more →Three capabilities that turn your project data into strategic intelligence.
Your data already contains the signals. Praeveo finds them automatically.
Not just what's happening — but what could happen next.
Praeveo doesn't just warn you — it tells you what to do.
Select your industry to see how Praeveo addresses your specific challenges.
Portfolio oversight across client engagements
Clinical trial delays and CRA conflicts
Infrastructure timelines and stakeholder risks
CAPEX projects and plant expansions
Regulatory programs and compliance deadlines
Product launches and supply chain projects
Four core modules — built on your data, visible where your team already works.
| Project | Category | Score | Risk Level | Trend |
|---|---|---|---|---|
| Plant Expansion North | Manufacturing | 87 | ▲ | |
| Regulatory Audit Q2 | Finance | 73 | ▲ | |
| Clinical Trial Phase III | Pharma | 58 | ▶ | |
| ERP Migration Wave 2 | Consulting | 45 | ▼ | |
| Solar Campus Phase 1 | Energy | 22 | ▼ | |
| SAP Rollout APAC | Consulting | 14 | ▶ |
Portfolio health declined slightly this week. 2 of 24 active projects moved into critical risk territory. Plant Expansion North requires immediate steering committee attention due to accelerating budget overrun. Regulatory Audit Q2 shows early signs of timeline slippage due to pending document reviews.
No big-bang project. We go live in 4–6 weeks — with your existing data and systems.
We start with the people behind the projects — PMO leaders, project managers, BI teams, controlling. The goal: understand where time is lost, where risks are detected too late, and where better software creates a clear advantage.
We connect your existing sources — SAP, MS Project, Excel, SharePoint, Power BI Dataflows. No new system to introduce. No data migration. We work with what's there.
The AI layer learns your projects — patterns, risk signals, historical constellations. Rule-based in phase 1, with machine learning in phase 2. GDPR-compliant on Azure EU data centers.
Results appear directly in your existing Power BI workspace — based on the LeapLytics visuals you already know. Risk scores, early warnings, automated reports. Nothing new to learn.
We don't implement and disappear. We stay as a retainer partner, refine the models, expand to new data sources, and help you evolve the system.
Anonymized stories from enterprise teams using Praeveo.
30 seconds — and we'll get back to you within 24 hours. No sales pitch, just an honest conversation about your challenges.
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