AI/ML Adoption Consulting
Data readiness assessment for machine learning
We profile the data your use case needs, check its quality, volume, history and labels, and tell you plainly whether a model is feasible now or what has to change first.
Who it is for
Companies planning forecasting, classification or recommendation models on their own data.
- Duration
- Agreed on the first call
- Price
- Agreed in writing before we start
- You receive
- 5 written deliverables
- Can lead to
- AI automation build
The situation
Find out whether your data can support the model you want
Models are only as good as the data behind them. Records are spread across systems, fields are filled in inconsistently and history is missing.
What you get
- Data inventory for the use case, by system
- Quality profile: completeness, consistency, duplicates and history
- Feasibility verdict: build now, fix the data first, or use a simpler method
- Data improvement plan with owners
- Proposed approach for a first model, if feasible
What we need from you
- Read access to the relevant databases or exports
- A business owner for the use case
What if the answer is no?
Then you have avoided the cost of a model that would not work, and you get a plan for the data work that would make it possible.
Other ways to start
Not quite the right question?
AI & Automation Readiness
Find the automations that pay back first, and the ones to skip
Leaders under pressure to "do something with AI" who want a short list that survives a CFO review.
2 weeks
See the offer
AI Use-Case & ROI Workshop
Turn a long list of AI ideas into a short list worth funding
Leadership teams with many AI ideas and no agreed way to choose between them.
1 week
See the offer
AI Governance & Policy
Rules for using AI safely, before staff make up their own
Companies whose staff already use AI tools with no agreed rules on data, approval or accountability.
Agreed on the first call
See the offer