Your AI Is Missing Something
Less than 20% of AI-generated answers to analytics questions are accurate enough for business decisions. The problem: Your underlying data architecture.
Despite the explosion of “talk to your data” agents across platforms, most fail when exposed to real enterprise complexity. Enterprise data is distributed. Business context is fragmented. Traditional architectures weren’t built for the agent era.
Discover the AI Insights Fabric — the architecture that makes trusted AI insights possible.
Why Current Approaches Fall Short
Data Lives Everywhere
Cloud platforms, SaaS applications, on-premise databases. Your most valuable insights require combining data across systems — but each “talk to your data” agent sees only a fraction of your data landscape.
Context Is Scattered
Technical metadata lives in data sources. Business definitions exist in catalogs and BI tools. Tribal knowledge sits in people’s heads. Without unified context, AI generates syntactically correct but semantically wrong answers.
Users Expect Instant Results
Traditional ETL pipelines operate on batch schedules. Ad-hoc questions need real-time answers from fresh data. Building pipelines for every question is impossible — data teams are already overwhelmed.
Promethium gives users the ability to see if they can trust the data. Now when business users meet with executives, they can explain how they got to the insight.
– CTO, Luxury Retail Brand
Download the White Paper: The AI Insights Fabric
What you will find in this report:
✓ Why “talk to your data agents” fall short: The three architectural gaps
✓ How AI Insights Fabric works: Federated access, unified context, self-service orchestration
✓ Real business outcomes: How to achieve 10x faster insights and 5x productivity within weeks
✓ The path forward: How to implement without disrupting existing workflows or migrating data
