Service
Data Platforms and AI
We bring scattered data into one reliable setup so reporting, automation and AI features can actually work.
What 9T5 delivers
- Data platform and warehouse design
- Pipelines, integrations and operational reporting
- Knowledge layer and retrieval setup
- Data governance, lineage, and access controls
- AI readiness planning
Typical outcomes
- Create cleaner reporting and better visibility across the business
- Give AI projects a stronger data foundation
- Reduce manual work caused by disconnected systems
Ideal fit
- Companies with data spread across many tools
- Teams planning AI features but missing a trusted source of truth
- Products with unreliable reporting
Risks avoided
- Building AI on stale or low-confidence data
- Duplicated reporting logic across teams
- Weak data access controls as systems scale
How we can work together
AI readiness reviewData platform rebuildTargeted reporting uplift
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Related insights
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Frequently asked questions
- Should we fix data before adding AI?
- Yes. AI amplifies whatever is in your data. Messy data, wrong access, or stale sources lead to wrong answers and compliance risk. Fix the foundation first.
- What does an AI readiness review involve?
- We map your data sources, access controls, quality and flow. We identify gaps that would block or risk AI use cases, and produce a practical roadmap.
- How do you handle data governance?
- We define ownership, lineage, access policies and refresh schedules, including for AI model outputs and knowledge bases where relevant. Governance should be lightweight and aligned to how you actually use the data.