
In renewables, a multi-agent system (MAS) only performs if its "fuel" is quality. This video explains how to go from document chaos (15,000+ pages of contracts, permits, and plans) to a polished database that boosts the speed and accuracy of any AI.
🔹 Why it matters
• Poorly versioned PPA, EPC, and O&M contracts ➡️ million-dollar losses.
• Dispersed permits ➡️ regulatory delays.
• Outdated Excel spreadsheets ➡️ unrealistic financial projections.
🔹 Action plan – 5 steps
1️⃣Locate everything (servers, clouds, physical servers).
2️⃣Classify and label with unique criteria.
3️⃣Convert PDFs and drawings to AI-readable formats.
4️⃣Eliminate duplicates and outdated versions.
5️⃣Upload everything to a unified "source of truth" (S3, SQL, Data Lake).
🔹 REAL ROI
✓3-week due diligence ➡️48 hours.
✓Modeling errors ⚠️‑90%.
✓Response to investors in record time.
🔹 Final result
A 24/7 SMA that crosses technical, legal, and financial data without bias or fatigue, and you focus on strategy, not searching for versions of the same PDF.
🚀Data is the new gold. Refine it before feeding it to your AI.
👉Want to know how to implement it? Write to me on LinkedIn and we'll discuss it.
Linkedin:
#DataQuality #Artificial Intelligence #RenewableEnergies #MultiAgentSystems #DigitalTransformation #BigData #ProjectFinance #CleanTech #SmartEnergy #DataGovernance #RenewableProjects #Automation #duediligence