Latttice. The Data Product Workbench
Latttice Workbench
Build a trusted data product
Turn a real business need into governed, reusable data.
Watch it working →Latttice. The Data Product Workbench
Turn scattered data into trusted data people and AI can use.
Latttice helps business teams turn scattered enterprise data into trusted, governed, fit-for-purpose data products for decisions, reporting, analytics and AI.
- Zero code
- Business-led
- Active governance
- No rip and replace
This is the short version. Latttice.com holds the full product detail, demos, industry solutions and trial access. Latttice is the software behind the Decision-Driven Enterprise methodology from Data Tiles.
Latttice, product capture
Live Data Experience
Watch a Latttice data product update in real time.
Why now
Decisions and AI now move faster than traditional data delivery.
Organizations do not lack data, platforms or AI tools. They lack a reliable way to turn fragmented information into trusted business context at the speed decisions and AI systems now require.
- Decisions cannot wait for another delivery cycle.
- AI cannot be trusted without governed context.
- Governance must stay active wherever data is used.
The Latttice Workbench
Connect. Create. Govern. Publish. Use.
Business teams understand the decisions, customers, risks and outcomes that matter. Latttice gives them a governed workbench to build the data products behind those decisions, while data teams continue to manage platforms, architecture and controls.
- 01ConnectFederated access
Bring together existing platforms, applications, files and governance systems without moving everything somewhere new.
- 02CreateBusiness-led authoring
Shape the data product around a real business need, visually, with no code and no engineering ticket.
- 03GovernGovernance built in
Policy, access, ownership, lineage and evidence are applied as the product is created, not bolted on later.
- 04PublishTrusted release
Release once as a governed, reusable product with its business meaning and controls intact.
- 05UseDecisions and AI
Consume the same product through BI, Excel, Slack, APIs, applications and AI agents.
The Structural GapThe missing layer between governance,
The missing layer between governance,
data platforms and AI.
Most enterprises have governance that defines trust, platforms that hold the data, and AI that is hungry to use it, yet the work in between is still done by hand, project by project. The activation layer is what closes that gap at enterprise scale.
The Missing LayerThe Data Tiles Stack · Executive Reference Diagram
Layer 5
AI & Decisions
Consume trusted output with confidence.
Layer 4
Lenz: Applications & Agents
Use trusted data products to build, run and govern AI agents and decision apps.
The missing layer
Layer 3
Latttice, the Activation Layer
Turns governed business intent into trusted, executable data products, reusable across BI, APIs, applications and AI agents, without rebuilding the platforms beneath.
ProducesTrusted Data Products
Foundations
Layer 2
Active Governance
Defines trust, meaning and policy.
Layer 1
Data Platforms
Store, process and move enterprise data.
Above
Consumers
The layer
Latttice
Below
Foundations
Executive takeaway
You do not need another platform. You need the layer that makes the ones you already own act with trust, at the speed AI now demands.
A better operating model
Business teams know the decisions. Data teams know the foundations.
Latttice creates the governed middle ground. The platforms do not need to change. The operating model does. Business-led data products are fit-for-purpose data products shaped by the people who understand the business decision, with data teams providing the trusted data, governance and technical foundations behind them.
Business context
Business teams
Customers, products, risks, operations and decisions.
At the centre
Trusted, governed data products
Built around a real business need and governed throughout the lifecycle.
Enterprise foundations
Data teams
Platforms, architecture, engineering, standards and oversight.
The data product operating model, at a glance.
Five stages that turn the data you already own into trusted, reusable business assets. Build once. Govern once. Reuse everywhere.
- 01Existing enterprise data
Warehouses, applications, catalogs and cloud platforms you already own.
- 02Latttice workbench
The business-led layer where data becomes a governed product.
- 03Foundation data products
Customer, Product, Finance, Orders, Assets, Employees, Suppliers.
- 04Fused data products
Foundations combined into Customer Intelligence, Supply Chain Performance, Asset Reliability.
- 05Business outcomes
Decisions, analytics, applications, digital services and AI.
Create once. Govern once. Use everywhere.
Create the data product once, then make it available wherever people, applications and AI need it, with its business meaning, access controls, lineage and governance intact.
- AI agents
- LattticeGPT
- BI tools
- APIs
- Excel
- Slack
- Applications
- Mobile
Experience Latttice
See how quickly scattered data becomes a trusted product.
Active Governance
Apply active governance
Apply policy, access, ownership, lineage and evidence as the product is created and used.
Watch it working →
AI Readiness
Prepare trusted data for AI
Give AI governed data products with the meaning, context and controls it needs.
Watch it working →
Enterprise Consumption
Use trusted data where work happens
Make the same governed product available through business tools, applications, mobile and AI.
Watch it working →From data products to AI agentsLatttice prepares the data.
Latttice prepares the data.
Lenz builds the agents.
AI agents are only as good as the data they reason over. Latttice turns scattered enterprise data into governed, semantically explicit, lineage-aware data products. Lenz then uses those products as the trusted context for AI agents that decide, act and explain with confidence.
Lenz is the AI Factory from Data Tiles. It gives teams a governed lifecycle for designing, assembling and deploying AI agents on top of the trusted data products Latttice creates.
Why AI needs Latttice first
- 01Trusted context
Agents reason over governed data products with documented meaning, ownership and lineage.
- 02Controlled inputs
Access, policy and quality rules travel with the product so AI only sees what it should.
- 03Defensible outputs
Decisions and actions can be traced back to approved data, policies and human oversight.
AI readiness
AI-ready should be measured, not claimed.
Latttice evaluates each data product across eight dimensions and thirty-seven measurable signals, producing a readiness score teams can understand, track and improve. The framework is owned by Data Tiles and operationalized in Latttice.
8
Dimensions
37
Metrics
1
AI Readiness Score
Why Latttice
What makes Latttice different.
Business-led by design
The teams closest to the decisions shape, own and evolve the data products they need.
Zero-code creation
Create, govern and publish trusted data products visually, without another engineering ticket.
Active governance
Policy, access, ownership, lineage and evidence stay attached as products are shared and used.
Measurable AI readiness
Every product is scored against defined readiness measures instead of an unsupported claim.
No rip and replace
Works across the platforms, governance systems and applications you already run.
Industry solutions
Built for the way your sector makes decisions.
Latttice ships with sector-specific data product patterns, so teams start from the decisions their industry already runs on rather than a blank canvas.
Retail Banking
Trusted customer and risk data at the point of decision.
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Insurance
Governed claims, pricing and exposure data products.
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Mining
Production, asset and safety data the business can trust.
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Healthcare
Safe, governed patient and operational data sharing.
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Supply Chain
End-to-end visibility across suppliers and logistics.
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Manufacturing
Plant, quality and throughput data products in minutes.
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Defence
Provenance and control for mission-critical data.
Explore →
Regulatory Reporting
Auditable, repeatable reporting built on governed data.
Explore →Retail Banking
Trusted customer and risk data at the point of decision.
Explore →Insurance
Governed claims, pricing and exposure data products.
Explore →Mining
Production, asset and safety data the business can trust.
Explore →Healthcare
Safe, governed patient and operational data sharing.
Explore →Supply Chain
End-to-end visibility across suppliers and logistics.
Explore →Manufacturing
Plant, quality and throughput data products in minutes.
Explore →Defence
Provenance and control for mission-critical data.
Explore →Regulatory Reporting
Auditable, repeatable reporting built on governed data.
Explore →Connectivity
Connect to your existing data estate.
Latttice activates the platforms, tools and data sources you already use — including governance platforms such as Collibra. No rip and replace.
- Cloud data platforms
- Databases
- Data lakes
- Governance platforms
- Streaming platforms
- APIs
- Business applications
- Files and documents
- Collaboration platforms
- Structured and unstructured
The full connector list is maintained in the downloadable Connector Directory. Request access via the link above.
Next stepGo deeper on
Explore Latttice for Collibra
Go deeper on
Latttice.com.
The full product tour, industry solutions, governance detail and trial access live on the Latttice website. Data Tiles is here when you want to talk about how it fits your organization.
Using Collibra?
See how Latttice turns Collibra governance and business context into trusted, business-built data products.
Related questions
People also ask
Explore the connected concepts that anchor the Decision-Driven Enterprise.
What are Purple People?
Purple People bridge business and technology — they carry the business context AI needs and the technical fluency to bring trusted data and governance to a decision.
What is Active Governance?
Active Governance enforces policy at the point where data is created, served and consumed — trust is applied at runtime, not just written down in a document.
What is a Business-Led Data Product?
A Business-Led Data Product is designed, owned and named by the business function that depends on it — decisions define the product, not pipelines.
What is a Decision-Driven Enterprise?
A Decision-Driven Enterprise organizes data, governance and AI around the decisions the business needs to make — instead of around dashboards or platforms.
What makes data AI-Ready?
AI-Ready data products are contextualized, semantically explicit, lineage-aware, policy-enforced, trust-visible and execution-consistent — so AI can act on them safely.
What is the Decision Value Chain?
The Decision Value Chain runs from strategy through decisions, trusted data, data products and governance to trusted AI and business outcomes — each stage produces the input to the next.