Enterprise Data Product Design for AI Agents · own the product, extract safely, standardize semantics, build for grounding
Turn ERP and transactional data into products AI agents can consume, ground on and be trusted with.
Every control handed to you adopt-ready, from named data product ownership and safe change-data-capture extraction through explicit versioned data contracts, a governed semantic layer with freshness and lineage, delegation-aware access control, a disciplined build-versus-buy decision, and a reconciliation and operational-risk regime.
Ready in a weekend, not a quarter.
Here is the honest situation. Here is the honest situation. Agents are only as good as the data they read, and enterprise data lives in ERP configuration, custom fields and status codes whose meaning is invisible in the raw schema. Extract it carelessly and you slow the system that runs the business. Ship it without contracts, freshness or lineage and an agent produces confident answers it cannot ground. Designing data products agents can trust is a discipline you run deliberately, not a pipeline you throw together and hope holds.
This Kit removes the guesswork. It is enterprise data product design written as adopt-ready controls, so your agents consume owned, contracted, grounded data rather than tables that drifted from the source and no one owned.
What you get, the moment you buy
18
Controls, adopt-ready. Every control, written so you personalize and apply it.
18
Evidence-they-examine checklists. For each control, exactly what a reviewer examines, plus where teams fall short, so you close the gap first.
1
Control Matrix, pre-built. Every control in a working spreadsheet, ready to record status, owner and evidence location.
1
Gap & Readiness Assessment. Score each control and the workbook returns your readiness as a single percentage, and exactly what to fix next.
Grounded in data architecture and enterprise AI practice, including data product ownership, change-data-capture extraction from ERP, business-meaning reconstruction from source configuration, semantic standardization and data contracts, semantic layers with freshness, lineage and groundability, delegation-aware access control, build-versus-buy accelerator selection, and reconciliation and operational risk.
Design the data, do not hope the agent copes
An agent fed uncontracted, undated, undrifted data produces confident wrong answers, and the fix is to make each data product owned, contracted and groundable rather than an unmanaged by-product of a pipeline. This Kit builds the ownership, the safe extraction, the versioned contracts, the semantic layer with freshness and lineage, the delegation-aware access control, the build-versus-buy scoring, and the reconciliation regime that keep agent-facing data trustworthy.
What one control looks like
This is the opening control, where the data product discipline begins. All 18 are built to this depth.
EDP-1 Run each data product as a managed product with a named owner DATA PRODUCT STRATEGY AND OWNERSHIP
Put this control in place
Require [your organization name] to manage each agent-facing dataset as a named data product with a documented owner accountable for its schema, semantics, quality, service levels and retirement, rather than leaving it as an unowned by-product of a pipeline.
Control note.
An agent trusts data as far as someone is accountable for it; name that person first.
Evidence a reviewer examines
- A data product register naming each product and its accountable owner
- A per-product definition covering schema, semantics, quality and service levels
- A retirement or deprecation record showing the lifecycle is managed
Common finding they raise: Agent-facing datasets accumulate with no owner, so no one is accountable when the schema drifts or the quality degrades.
Why this is not another template pack
- The data product is designed. A table an agent stumbles on is a liability you did not know you shipped. This tells you how to own, contract, standardize and ground it, for every control.
- The specifics built in. Change-data-capture extraction, business-meaning reconstruction from ERP configuration, Schema.org and JSON-LD standardization and its limits, versioned contracts, semantic layers with freshness, lineage, deterministic addressing and groundability, delegation-aware access control, and reconciliation are written into the controls, not left generic.
- Built on real practice, not one project. The controls are principle-level, so they hold across source systems, accelerators and agent architectures and stay useful as the AI layer evolves.
Who buys this
data architects and enterprise AI leads
By the end of the weekend you will have
✓ An adopt-ready control for all 18 areas
✓ A completed control matrix
✓ The evidence an architecture board and governance lead examine
✓ Named data product ownership, safe ERP extraction, and explicit versioned data contracts
✓ A governed semantic layer with freshness and lineage, delegation-aware access control, a build-versus-buy scoring, and a reconciliation regime
✓ A readiness percentage and a fix list
Common questions
Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.
Does it cover the whole data product problem? Yes. Data product strategy and ownership, ERP and transactional source extraction, semantic standardization and data contracts, agent-ready pipeline architecture, build versus buy and accelerator selection, and operational risk and governance each have their own controls with their own evidence.
Is this tied to one platform or ERP? No. The controls are principle-level, ownership, safe extraction, contracts, semantic layers, access control and reconciliation, so they apply across source systems, accelerators and agent architectures.
Who is it for? Data architects and enterprise AI leads who must turn enterprise data into products agents can consume, ground on and be trusted with.
Do not let an uncontracted table an agent stumbled on become the confident wrong answer that reaches a decision, or an accelerator you cannot exit become a trap.
Every control is fast to adopt with the Kit. It is instant, and it is guaranteed.
Add it to your cart and be ready this weekend.
Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com
