A tool alone doesn't build a data strategy — people do.
Our product, AB Data Management, is software-first. But when a team wants expert help — getting started, closing a specific gap, or standing up a governance program from scratch — AB Data Solutions offers a focused set of data-management advisory services. Domain-agnostic, applicable whether your data lives in finance, operations, product, sales, or anywhere else — and designed for exactly the same audience as our product: small and mid-sized companies who need real data management capability without hiring a governance department.
Data Strategy & Roadmap
Turn fragmented problems into a clear, prioritized plan.
Most companies don't lack data problems — they lack a way to see them as one problem. We gather the scattered, siloed pain points living across business and technical teams and structure them into a coherent data strategy: what's broken, what matters most, and what to do about it — split into near-term quick wins and a longer-term roadmap tied to business priorities, not just technical debt.
Governance Transformation
Move governance from a policy document into decisions, roles, and daily practice.
A governance policy nobody follows isn't governance — it's a document. We map your actual requirements against the core data-management capability areas (ownership, quality, metadata, architecture, lineage), define concrete ownership and stewardship roles, and turn abstract policy into workflows people actually use.
Data Quality, Metadata & Lineage Assessment
Find out what's actually wrong — and where it comes from — before it costs you.
A structured review of your data estate: where quality breaks down, where metadata is missing or stale, and how data actually flows from source to the reports and decisions built on top of it. Delivered as a prioritized findings report tied to real business impact, not a raw list of technical issues.
Data Product & Platform Roadmaps
Turn strategy into something engineering and analytics can actually build.
Strategy only matters once it's translated into a backlog. We help define the vision, success metrics, and delivery priorities for your key data products and platform capabilities — from requirements and acceptance criteria through impact analysis — so the roadmap survives contact with real delivery teams.
Metadata & Catalog Onboarding
Go from "nobody knows what this table means" to a clean, business-readable catalog — fast.
We do the unglamorous first-mile work: connecting your sources, reconciling naming across systems, writing initial plain-language descriptions for your highest-traffic tables, and setting up automatic business-name translation so it stays clean going forward without manual upkeep.
AI-Ready Data Foundations
Prepare governed, well-documented data so AI and automation can be trusted with it.
Before an AI assistant, agent, or automation touches your data, it needs the same thing a new employee would: clear definitions, known ownership, and visible quality gaps. We assess your sources, mappings, and controls for AI-readiness and prioritize the fixes that matter most, tied to real business value and risk — not a generic AI-readiness checklist.
AI-Act Data-Readiness Review
The plain-language evidence layer for the data underneath your AI — assembled, owned, and gap-checked.
When your company deploys or builds a high-risk AI system, you need to be able to show where its data comes from, who owns it, and whether sensitive data is exposed. This is the same evidence a GDPR review already asks for. In a fixed-scope engagement we assemble it for you.
Book a scoping callHow services and software work together
Every service above is designed to make you more self-sufficient, not dependent on us — the goal of every engagement is to leave you owning your own data strategy. Services can stand alone, or sit alongside the product when that fit makes sense. Contact us to discuss what you need.
Not sure where to start?
A short conversation is the fastest way to find out which service — if any — fits your situation.