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What data you have
A clear view of your data estate.
Data Governance for AI
Data Governance Services
Make your data trusted, compliant and ready for AI — with access control, audit trails and quality built in.
United StatesIndiaUAE
AccessRole-based control
AuditWho did what
QualityBad data caught
LineageSource to use
Audit-ready evidencea record of who did what
Quick answer
What are data governance services?
MXTechies provides data governance services that make enterprise data trusted, compliant and ready for AI — a data-readiness review, access control and privacy, audit trails, quality rules and lineage — built on the Mendix platform with role-based access and model-risk controls. Work starts with a 5-day discovery and a 21-day production proof of concept, for organizations across the US, India and the UAE, including those that need sovereign or on-premises deployment.
Why it matters
Why governed data matters now
AI turns weak data into confident wrong answers. Governance is how you stay accurate and prove it.
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Who can use it
Only the right people and AI see it.
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Where it came from
A trace from source to use.
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What the AI did
A record you can show auditors.
Rules expect you to prove control
Rules such as GDPR, CCPA, HIPAA, India's DPDP Act, the Saudi and UAE PDPLs and the EU AI Act expect organizations to control their data and prove it. We design around the rules that apply to you; compliance scope is confirmed per project.
Further reading: official GDPR text · NIST Privacy Framework
Why MXTechies
Governed by design, not added later
250+
AI-certified engineers
Production experience, not slideware.
300+
Enterprise apps
In production today.
8
Mendix MVPs
Mendix Platinum Partner, backed by Siemens Xcelerator.
21-day
Fixed-fee PoC
Tied to a clear ROI hypothesis.
What we deliver
Six deliverables for AI-ready data
One clear list, from the first review to governed models in production.
01
Data-readiness review
An honest view of your data, security and governance gaps.
AI Architecture Review02
Access control & privacy
Role-based access and data isolation, so people and AI see only what they should.
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Audit trails & compliance evidence
A record of who did what, ready for auditors.
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Data quality & lineage
Rules that catch bad data and a trace from source to use.
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Governed data pipelines
Clean data feeding your AI.
AI Data Engineering06
AI governance & model risk
Evaluation, monitoring and controls for the models that use your data.
Process
How we work
- 1
Assess
A 5-minute readiness check.
Readiness assessment - 2
Review
Data, security and governance reviewed against your goals.
- 3
Prove
A 21-day production proof of concept with governance already in place.
Guided AI PoC - 4
Run & scale
Grow on the same platform with controls and audit trails intact.
Industries
Where governance matters most
Banking & finance
Audit-ready KYC/AML and fraud AI.
Learn moreInsurance
Governed claims and underwriting AI.
Learn moreHealthcare
Clinical AI with privacy built in.
Learn moreGovernment
Sovereign and air-gapped citizen-services AI.
Learn moreEnergy & utilities
Fully auditable ESG and asset reporting.
Learn moreFAQ
Common questions
What is data governance?
Data governance is the set of rules, roles and tools that keep data accurate, secure, traceable and compliant. It covers who can use which data, how good that data is, where it came from, and how its use is recorded.
Why does AI need data governance?
AI is only as reliable as its data. Ungoverned data leads to wrong, biased or non-compliant AI answers, and makes it hard to prove to auditors what the AI used and why.
What do MXTechies' data governance services include?
A data-readiness review, access control and privacy, audit trails and compliance evidence, data-quality rules, lineage and cataloguing, and AI governance with model-risk controls. The exact scope is set in a 5-day discovery.
How do you handle privacy and data residency?
Apps run on Mendix Cloud, on-premises or in sovereign and air-gapped set-ups, with role-based access, audit trails and data-isolation patterns. We design around the rules that apply to you, such as GDPR, CCPA, HIPAA, India's DPDP Act and the Saudi and UAE PDPLs. Compliance scope is confirmed per project.
How is data governance different from AI governance?
Data governance controls the data itself: quality, access, lineage and privacy. AI governance controls how models use that data: evaluation, monitoring and model-risk controls. Good AI needs both, so we build them together.
How do we get started?
Start with the 5-minute AI Readiness Assessment, or book a free AI Architecture Review if you have 1,000+ employees. It covers data, security and governance. A 21-day Guided AI PoC (paid pilot) then proves the plan on real data.
Next step
Tell us what your data needs to do.
We'll bring the platform, the controls and the engineers who've done it before.