ENTERPRISE SOLUTIONS

For Enterprise

Governed AI platform connecting human and automated decisions

A governed Microsoft Fabric platform your team can actually understand — not another black box.

We take the data you already have — whether it's spread across cloud pipelines, an on-premises SQL Server, legacy ERP exports, or a mix of all three — and land it in a properly governed Fabric platform, with a documented model your team can actually see into.

Individually controlled, auditable access to every layer of your data — built POPIA-aligned from the ground up, not retrofitted after the fact. Hosted on Microsoft Azure infrastructure, which independently maintains ISO 27001 and SOC 2 Type II certification. The platform methodology draws on 9+ years of hands-on enterprise data engineering — Data Vault 2.0 modeling, medallion architecture, both cloud-native and legacy migrations.

Request a Technical Walkthrough
Right Now

Whether your data lives in cloud pipelines nobody fully owns anymore, an aging on-premises system nobody wants to touch, or legacy exports scattered across departments — nobody can answer a data governance question about it in writing if Internal Audit or the Information Regulator asks.

With MetricLabs

A documented, governed semantic layer with real lineage — your team can explain exactly where a number came from, who can see it and why, regardless of what it looked like before.

THE DIFFERENCE

Traditional Modernization vs. MetricLabs

Typical Modernization Project MetricLabs Approach
Months of scoping before any real data moves — regardless of whether you're starting from on-premises systems or a sprawling cloud setup A working, governed platform within weeks, not quarters
Your team locked out of the architecture, dependent on the vendor to explain it Fully documented and governed — your team can see exactly how it works
Governance treated as a compliance afterthought POPIA-aligned and individually access-controlled from the first design decision
A dashboard layer bolted onto whatever data model already existed A genuinely rebuilt semantic layer, with an AI assistant that understands it

INTERACTIVE

Key-Person Risk Check

Team reviewing governed data together

How many of your critical reports or data pipelines does only one person on your team fully understand or maintain?

If that person left tomorrow, how confident are you the numbers would still be trustworthy? Not at all

FREE DOWNLOAD

Data Residency & Compliance Summary

Which Azure region holds your data, how POPIA-aligned access controls actually work in practice and what a documented governance model looks like — a short technical summary you can forward directly to Internal Audit or your Information Officer, no meeting required first.

Get the Compliance Summary

INTERACTIVE

Reporting Error Exposure Calculator

How many financial or operational reports does your business currently rely on that are built or maintained manually?

Roughly what revenue or spend do these reports collectively help you make decisions about (ZAR)?

This isn't about whether your team is careful — it's what happens at scale, across formulas and handoffs, even to careful people. A governed, single source of truth removes this exposure structurally, not by asking people to be more careful.

INVESTMENT

Enterprise SME Engagements

Enterprise SME engagements start from R18,000+/branch/month — exact pricing depends on the number of source systems, data complexity and team size. We'll provide a straight, fixed quote after understanding your specific environment.

Want your own team trained to run and extend the platform hands-on? Paid training and skills-transfer sessions are available as a separate add-on, scoped to what your team actually needs.

FAQ

Frequently Asked Questions

What does "governed" actually mean here?

It means every layer of the platform — from raw data ingestion through to the reports your executives see — has individually controlled, auditable access. Nobody gets blanket visibility through a shared login or a single all-or-nothing permission tier. Every access grant is logged, and if Internal Audit or the Information Regulator asks who could see a specific number and why, there's a documented answer waiting, not a guess pieced together after the fact.

Where is our data hosted?

On Microsoft Azure and Microsoft Fabric infrastructure, hosted within South Africa specifically for data residency and POPIA compliance. We can confirm the exact region your data sits in, and that detail — along with how access controls work in practice — is covered in the Data Residency & Compliance Summary you can request above, ready to forward directly to Internal Audit or your Information Officer.

We're still largely on-premises — does this still apply to us?

Yes — we work with what you actually have, whether that's cloud-native, on-premises, or a mix of both. The platform is built to connect to your real environment, not a hypothetical cloud-first one.

Can our own team learn to run this independently?

Ongoing management is part of the standard engagement. If you'd like your own team trained to run and extend it hands-on, that's available as a separate, paid training add-on.

How does the AI Assistant avoid giving wrong answers?

It's tested against real business scenarios before deployment, and it's explicit about the difference between what it can verify from your data and what it can't determine.

What does the engagement actually hand over to our team?

A fully documented data model and individually access-controlled governance layer, along with the underlying architecture decisions written down — not just a working platform you have to take on faith. Your team can open the documentation and see exactly how data moves, where it's transformed, and who can see what, without needing to call MetricLabs every time a question comes up internally.

Can this integrate with our existing ERP/CRM?

Yes. The platform connects to what you're already running — SAP, Oracle, Microsoft Dynamics, legacy on-premises systems, or modern cloud-native platforms — through connectors built for your actual environment, not a one-size-fits-all integration layer that assumes a specific tech stack you may not have.