AI Readiness Assessment
Most organizations don't fail at AI because they chose the wrong tools. They fail because they never took the time to understand whether their data, architecture, and operating model were ready in the first place. That's exactly what the AI Readiness Assessment is designed to solve. This is not a generic consultation—it's a focused diagnostic built specifically for organizations trying to modernize fragmented data, accelerate Databricks adoption, and move toward real analytics and AI outcomes.
What the Assessment Includes
In a 60 minute working session, we will:
Walk through your current data landscape
Core operational systems (SCADA, MES, ERP, QA, logistics). Manual processes, spreadsheets, and paper-based workflows. Existing analytics or BI tooling.
Assess your data fragmentation and readiness
Where data breaks across systems, plants, or teams. What's digitized vs. still manual. Gaps in ingestion, structure, governance, and reliability.
Review your Databricks environment
What's been implemented or purchased but unused. Where setup, pipelines, or governance are blocking value. Whether your architecture supports real-time analytics or AI use cases.
Score your AI readiness
Clear view of what's blocking progress today. Practical assessment of what's required before AI, ML, or advanced analytics can succeed.
Provide concrete next-step recommendations
What to fix first. What can wait. Where Databricks fits now vs. later. Whether a focused discovery or pilot makes sense.
What You'll Walk Away With
A clear understanding of why AI or analytics initiatives are stalled
A shared view of what "AI-ready" actually means for your environment
A prioritized path forward — not vague strategy, but actionable next steps
Confidence in whether Databricks is ready to deliver value — or what's missing
TribalScale helps manufacturers modernize how data is captured, unified, and used — so analytics, automation, and AI can scale on Databricks.
100+
99.9%
pipeline uptime across global implementations
