AI readiness & intelligence
Make sure your AI is built on data you can trust.
Measure the quality your AI use cases depend on, fix what puts them at risk, and keep business data on the model you choose.
AI amplifies whatever your data already is.
A model grounded on incomplete, duplicated or inconsistent records repeats those problems at scale, and confidently.
Before you invest in AI use cases, you need to know whether the datasets behind them are fit for the job, and what to fix first.
Questions this answers
- Which datasets do our AI use cases rely on?
- Which quality problems put those use cases at risk?
- What should we fix first?
How DATAshaper helps today.
Quality against your use cases
Selected quality dimensions are measured and read against the AI use cases you plan.
Measured, then measured again
Scheduled checks keep tracking quality after the first measurement, so you see whether it holds.
AI-assisted correction
AI suggests values for issues found, and people approve them before they are staged.
Your own LLM
Process business data with the model you choose, including models you host yourself.
Deployed where you decide
On-premises, in your own cloud tenant or as a managed SaaS.
The AI Readiness Assessment.
A paid, scoped engagement. Powered by DATAshaper. Delivered by tillit.
Scope
Agree which datasets and AI use cases are in scope.
Measure
DATAshaper measures the selected quality dimensions on those datasets.
Interpret
Specialists read the results against your use cases. The method is human-led.
Prioritise
You receive the quality risks that matter and a prioritised list of improvements.
The assessment interprets measured data quality against your goals. It does not certify your organisation’s overall AI readiness, which also depends on security, governance, lineage, access and legal context. Priced on request; in some cases part of the fee can be credited towards a DATAshaper license, on agreed terms.
The same platform, in enterprise programs.
Building a data quality foundation for SAP S/4HANA.
Rules configured, measurements underway
From acquisition to SAP operations in a single weekend.
Various projects ongoing since 2013
Questions about AI readiness.
Is the assessment free?
No. It is a paid engagement, scoped to your situation and priced on request.
Do we get an AI readiness score?
No. You get measured quality results, the risks that matter for your use cases and a prioritised list of improvements. Broad AI readiness depends on more than data quality, so we do not certify it.
Who delivers it?
The assessment is delivered by tillit, using DATAshaper.
Can we continue on our own afterwards?
Yes. With a DATAshaper license your team can keep measuring and improving quality itself, as Bruker does.
Find out where your data will let you down.
Request an assessment, or talk to an expert about the AI use cases you have in mind.
Request an assessment
A paid, scoped review of the data behind your AI plans. Powered by DATAshaper, delivered by tillit.
Talk to an expert
Bring a specific challenge and discuss it with someone who has solved it before. Book a time or send a message.