Digital Advisory · Data Governance Quick Start

One domain. Two AI-enabled data products. Three months.

In 90 days, we build two trusted AI-enabled data products with your team and leave you with the capability to build the next ten.

1

Domain, with named stewards and a leader who owns the outcome.

2

AI-enabled data products, packaged end to end.

3

Months, from scope to certified and published.

What you get

Two products people use. The capability to build the next ten.

  1. 01

    Two AI-enabled data products

    Packaged end to end: definitions, CDEs, quality, semantics, classification, access, and evals.

    Answers your people and your AI can act on.

  2. 02

    Your catalog, configured

    Discovery, trust, access and AI context set up in the marketplace you already own.

    People find and understand what is relevant to them.

  3. 03

    Roles and mechanisms in place

    Six roles, a thirty minute monthly forum, a weekly domain session, five mechanisms.

    Easy to understand, easy to maintain.

  4. 04

    Stewards who know how to steward

    We do not do the reps for you. We run them with you.

    Your team knows what good feels like.

  5. 05

    Certified products, scorecard, readout and roadmap

    Published with an AI scorecard. Consumers trained. You take ownership.

    A second domain starts from a running capability, not from zero.

What makes data AI-ready

Trusted

Quality rules, lineage, freshness.

Can I believe it?

Understood

Definitions, metrics, grain, synonyms, relationships.

What does it mean?

Explained

Caveats, known gotchas, decision rules, how people actually use it.

How do I act on this?

Partners

Built in the catalog you already own.

We run the Quick Start in Alation or Collibra. Your platform knows what you have, traces where it came from, and puts definitions and policies next to the data. Archetype supplies the roles, rules, and rhythm around it to keep the outcomes reliable.

Alation

Data intelligence platform

  • Catalog
  • Lineage
  • Glossary
  • Policies
  • Data quality
  • AI agents

Products assembled in the Alation marketplace. Definitions, verified queries and evals served through the catalog's chat.

Collibra

Data intelligence platform

  • Catalog
  • Lineage
  • Business glossary
  • Policies
  • Data quality
  • Workflows

Products assembled in the Collibra marketplace. Definitions, verified queries and evals served through the catalog's AI.

Four clients, four stacks, one operating model. Where we've done this

The reframe

It's not about cataloging. It's about building products.

A data product is a trusted, reusable asset built with purpose. The catalog, the roles and the mechanisms get built because the products need them.

The Quick Start

AI-enabled data products in three months.

1

Domain

One domain, two to five teams, named stewards, and a leader who owns the outcome.

2

Products

Packaged end to end: definitions, CDEs, quality, semantics, classification, access, and evals.

3

Months

The catalog, the roles and the mechanisms get built because the products need them.

The Quick Start covers one domain end to end: the two products, the catalog configuration they need, and the people and process that keep them trusted. It runs with your team over three months, one 45 minute domain session a week, with Archetype hands-on alongside your stewards. By launch, the products are certified and published, and your team owns the capability.

People own it. Process keeps it running. Technology makes it findable and trusted.

People

Six roles, named and clear. Operations, lean by design.

Six rolesSponsor, enablement lead, coordinator, platform owner, business and technical stewards.

Process

A monthly forum, a weekly cadence, five mechanisms. Easy to maintain.

The forumFive or six people. Thirty minutes, once a month. Alignment and direction for the new capability.
The cadenceOne 45 minute domain session per week. Hands-on support for the stewards to build the products.
Five mechanismsDocumentation, change control, product nomination, feedback and issue log, resource onboarding.

Technology

The marketplace, configured. Packaged to be scalable across domains.

DiscoveryMetadata standardized so people find and understand products relevant to them.
TrustLineage verified source to surface, quality rules monitored, failures alert a named owner.
AccessClassification applied, the request path linked, usage measured.
AI contextDefinitions, verified queries and evals, served through the catalog's chat.
How it runs

Scalable AI product capability.

01

Scope

Domain and products selected. Roles named. Catalog connected and configured. Standards agreed and questions captured.

02

Curate

Stewards trained and documenting. Definitions ratified, CDEs profiled, quality rules live, evals tuned. Products assembled in the marketplace.

03

Launch

Products certified and published with an AI scorecard. Consumers trained, readout and roadmap created. You take ownership.

We don't do the reps for you. We run them with you so your team knows what good feels like.

Platform and operating model

Your catalog connects the stack. The Archetype Operating Model keeps it trusted.

The catalog sits between your sources and the people and agents who use them. It holds what you have, where it came from, and what it means. Around it, Archetype supplies the roles, rules, and rhythm that keep the answers reliable after we leave.

Read it left to right. Data comes in from your systems, the catalog makes it findable and trusted, and BI, analysts and AI agents consume it from one place. The purple frame is the part most programs skip: the stewardship, standards, enablement and measurement that keep the catalog current once the project ends.

Proof it works

Where we've done this.

State banking regulator

Examiner AI on a governed semantic layer, with no PII exposure.

Health insurance marketplace

Analyst AI agent live in 6 weeks, recovering 80 hours a month.

National online retailer

Governed metric thread live on Snowflake, deployed as code.

Major hospital system

Catalog stood up from scratch, with operating model and charter.

What a data product is

Ready means all eight pass.

A data product is data packaged like a product: it has a named owner, a stated purpose, a quality bar, and one stable place to get it. A product is ready when all eight components pass with confidence. Your program is ready when it's easy to meet the expectations for each one.

01

Discoverable

Someone who did not build it can find it without asking around.

02

Self-describing

Purpose, definitions, dictionary and lineage travel with it.

03

Trustworthy

Quality rules on the CDEs, monitored, failures alerted.

04

Addressable

One stable surface to connect to. No side doors.

05

Secure

Classified, access enforced, and the request path documented.

06

Owned

A business steward and a technical steward, named and accountable.

07

Contracted

Refresh, freshness and support stated up front.

08

Answerable

Tested against business questions with a measured accuracy score.

Next step

Send me more information.

Faster value. Stronger adoption. Lasting impact. No call required to start.

Ask and we'll send the Quick Start overview, with how the 90 days run and what your team gets, within one business day.

  1. What's included?One domain. Two AI-enabled data products packaged end to end. Your catalog configured for discovery, trust, access and AI context. Six roles, a monthly forum and five mechanisms in place. Stewards trained. Three months.
  2. Who is it for?A leader who owns the outcome for one domain, with two to five teams and stewards who can be named. If one domain gets the most questions and the answers need to be trusted, start there.
  3. What happens after I ask?You get the overview by email. If it fits, we scope with you: domain and products selected, roles named, catalog connected, standards agreed and questions captured. Then the 90 days begin.
AHAdam Hallas

Adam Hallas

Director, Digital Advisory

636.248.2155 · ahallas@archetypeconsulting.com

GDGreg DiLullo

Greg DiLullo

Data Governance Lead

860.389.7261

OCOliver Courtney

Oliver Courtney

SVP of Digital Advisory

617.952.9491

HPHalley Peddle

Halley Peddle

Analytics Business Development

508.455.7895

Credentials

Practical advisors. Hands-on builders.

Snowflake Elite Services Partner badgeSnowflake Elite

Snowflake Elite Services Partner

Cortex Code Preferred Partner badgeCortex Code

Cortex Code Preferred Partner

2006

Founded in Boston

Forward Ready
Leaders do not just need answers. They need outcomes.

At Archetype, forward is not just a direction. It is a decision. We partner with leaders who are ready to move, with precision, with speed, and with purpose. We build with you, not at you.

Forward Ready.

Measurable · Strategic · Scalable · Actionable · This is consulting that activates