Data & AI Consulting: From Data Strategy to AI in Production

Agilus consults across the full data management lifecycle — strategy, governance, master data, quality, migration, analytics and AI. And unlike most, we can tell you where you stand before we start: measured against DAMA-DMBOK2 and DCAM, not against an opinion.

Agilus Solutions is a South African data and AI consultancy based in Waterfall City, Johannesburg. We cover the full data management lifecycle — maturity assessment, data strategy, data governance, master data management, data quality, data migration, analytics and AI delivery — for enterprises across South Africa and Africa, with sales representation in the UK and US. Our work is anchored to the DAMA-DMBOK2 and DCAM international standards.

Why do data and AI programmes stall?

Rarely because the technology was wrong. Almost always because the data underneath it was never managed as an asset — so the migration overruns, the dashboards get argued with, and the AI business case quietly dies.

The pattern repeats across enterprises everywhere:

An AI model is a mirror. Point it at unmanaged data and it will reflect that back to you at scale, confidently and fast. That is the failure mode Agilus is built to prevent.

What does Agilus consult on?

Seven service lines covering the full lifecycle. Clients engage on one, several, or the whole programme.

Data Strategy & Operating Model

A data strategy that names owners, not just ambitions. Target state, stewardship model, decision rights and sequence — sized so the business case survives contact with a CFO.

Data Governance & Compliance

Governance frameworks people actually follow, mapped to your POPIA obligations. Policies, roles, classification, lineage, retention and access control.

Master Data Management

Customer, product, supplier and finance master data — one trusted version, governed and kept clean.

Data Quality

 Profiling, cleansing, matching, deduplication and continuous monitoring, powered by DM360.

Data Migration & Modernisation

Legacy, cloud and ERP migrations with reconciliation evidence to prove nothing was lost.

Data Analytics & BI

Warehouses, semantic models, Power BI and paginated reporting — with governed metric definitions that stop three departments quoting three different revenue figures.

AI Solutions

Use-case prioritisation and delivery: document intelligence, forecasting, anomaly detection, classification, agentic automation and conversational interfaces.

Prefer an independent baseline first? Our Data & AI Readiness Assessment scores your organisation across seven pillars of data management maturity, aligned to DAMA-DMBOK2 and DCAM — powered by DM360.

How Does Our Consulting Map To DMBOK?

DAMA-DMBOK2 — the Data Management Body of Knowledge — defines eleven knowledge areas of enterprise data management. Agilus consults across all eleven:

DMBOK2 Knowledge AreaCovered By
Data GovernanceData Governance & Compliance · Data Strategy
Data ArchitectureData Strategy & Operating Model
Data Modelling & DesignData Strategy · Data Analytics & BI
Data Storage & OperationsData Migration & Modernisation
Data SecurityData Governance & Compliance
Data Integration & InteroperabilityData Migration & Modernisation
Document & Content ManagementAI Solutions (document intelligence)
Reference & Master DataMaster Data Management · Supplier360
Data Warehousing & BIData Analytics & BI
Metadata ManagementData Governance · DM360
Data QualityData Quality · DM360

Agilus is one of the few consultancies in South Africa whose services deliberately cover every DAMA-DMBOK2 knowledge area, with maturity in each area measured through its DM360 platform.

Where Do Clients Start?

There is no compulsory front door. Most engagements begin with whichever problem is currently costing money.

If This Is Your SituationStart Here
The board has asked for an AI plan and you know the data is not readyData & AI readiness assessment
You are moving off a legacy system, or consolidating after an acquisitionData Migration & Modernisation
Three systems give three different answers to the same questionMaster Data Management · Data Quality
The reports exist, but nobody trusts the numbers in themData Analytics & BI
You are building a data governance function from nothingData Governance & Compliance
The data is in reasonable shape and you want the AI builtAI Solutions
Everything above is true at onceData Strategy & Operating Model

How Does Agilus Deliver?

one

Baseline

Establish the facts before committing to a plan — a full seven-pillar maturity assessment, or simply profiling the source systems in a migration.

two

Roadmap

Findings become a sequenced plan, sized by business value and effort. You see what to do first, what it costs, and what it unlocks.

three

Deliver

We do the work — the migration, the MDM build, the governance rollout, the reporting layer, the AI use case. Value lands during the programme, not after it.

four

Sustain

Stewardship model, governance forum, quality monitoring and skills transfer, so the gain holds after we leave.

You can also stop at stage 1 — the readiness assessment is a complete deliverable on its own.

Who we work with

Our clients include Liberty, SASSA, Rand Water, DP World, AECI and Anglo American — financial services, government, utilities, logistics, chemicals and mining, in South Africa and beyond

Data & AI Consulting — Common Questions

What does Agilus consult on?

Agilus consults across the full data management lifecycle: data strategy and operating model, data governance and POPIA compliance, master data management, data quality, data migration and platform modernisation, data analytics and business intelligence, AI use-case delivery, and data management maturity assessment. Clients engage on a single service line or the whole programme.

Data and AI consulting is the work of getting an organisation’s data into a state where analytics and artificial intelligence can be trusted, and then building those analytics and AI systems on it. It spans strategy, governance, master data, data quality, migration and delivery. Agilus provides all of these, anchored to the DAMA-DMBOK2 and DCAM international standards.

Assess it rather than guess. Agilus offers a free 21-question AI Readiness Scorecard that gives an indicative maturity score in about six minutes, and a full 49-question assessment across seven pillars that produces a detailed report. Readiness is a measurable property of your data estate, not a matter of opinion.

DAMA-DMBOK2 (the Data Management Body of Knowledge, second edition) and DCAM (the Data Management Capability Assessment Model) are the two internationally recognised frameworks for assessing data management capability. Agilus assesses against both, which means your maturity score is comparable to an external standard rather than to a consultancy’s private methodology.

No. The assessment is one option among several, not a compulsory gate. Many engagements start directly with a migration, an MDM build, a reporting programme or an AI use case.

Privacy obligations are treated as a governance design input, not a compliance afterthought. Engagements cover data classification, lineage, retention, access control and the records of processing that POPIA requires.

Tell us what is actually broken

A migration that has stalled, numbers nobody trusts, an AI plan with no foundation under it — or all three. Thirty minutes with someone who has fixed it before, and a straight answer on what it will take.

Not ready to talk? Take the free 6-minute Scorecard.

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