Get your data ready before you build AI on it
Clean, structure, and govern your data so AI models give accurate results.
What you get with Data Readiness for AI
- Data source inventory
- Quality, completeness and access review
- Cleaning and structuring plan
- Privacy and permission checks
- Document and knowledge-base preparation
- Readiness score and next steps
AI Data Readiness Score
15-question check with a score and next steps before you fund a pilot.
Phases, timelines and what you receive
Discover
Source inventory, KPI definitions, data model
Build
Pipelines, warehouse and first dashboards
Model
Forecasts, ML models and alerts
Operate
Monitoring, new sources and reports
Get a plan for Data Readiness for AI
A few fields, no sales script. We reply within 1 business day with next steps.
Where we've done this before
+12% margin, +7% revenue
An AI operating system that forecasts demand and recommends restocks, transfers and markdowns for multi-store retail
Real-time dealer KPIs
A dealership analytics platform turning DMS, inventory and CRM data into real-time KPIs
Ways to work with us
Every project gets a written quote after a short scoping call.
Fixed-scope project
Clear scope and timeline. Scope agreed before code starts; change requests quoted separately.
Dedicated team / AI Pod
Evolving roadmap or AI systems in production. Monthly, scale up or down with notice.
Support & maintenance retainer
Live products that need fixes, updates, monitoring and small features each month.
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Most AI projects that stall do so because of data, not models. Checking first saves a failed pilot.
Ready to talk about Data Readiness for AI?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one