Build once. Govern once. From BI to AI.
Your business already relies on data across dashboards, analytics, spreadsheets and applications. AI adds new ways to use it.
Latttice turns existing enterprise data into trusted, governed, reusable data products that can serve the business from BI to AI, without rebuilding the data estate for every new use case.
One governed product. Many uses.
Every surface consumes the same governed product, under the access and policy that apply to it.
Your data has more consumers than ever.
For years, enterprise data was primarily prepared for reports, dashboards, spreadsheets and analytical applications. Those needs have not disappeared.
Now AI is joining them. Conversational interfaces, copilots, AI applications and agents need access to business data too. But every new consumer should not require another data pipeline, another interpretation of the business, another copy of the data or another governance exercise.
- BI
- Dashboards
- Excel
- Applications
- BI
- Dashboards
- Excel
- Applications
- Conversational AI
- AI applications
- Agents
- APIs
Nothing leaves the list. The list gets longer.
The challenge isn’t choosing between BI and AI.
It’s giving both access to trusted business data.
Every new use case shouldn’t mean starting again.
- New business question
- New request
- New pipeline or extract
- New definitions
- New security decisions
- New dashboard, application or AI integration
- Repeat
Duplication. Waiting. Conflicting definitions. More governance work. More copies. More technical debt.
- Business need
- Build trusted data product
- Govern
- Publish
- Reuse
- Evolve
One governed product. Many authorized uses.
Start with one decision. Build something reusable.
Latttice starts with a real business need. Business and data teams use Latttice to turn those requirements into a governed data product.
But the value does not have to end with the first decision. Once published, that product becomes a reusable enterprise asset that can support other appropriate decisions, analytics, applications and AI experiences.
Start small without building another silo.
Think big. Start with one decision. Build something the enterprise can reuse.
What is a data product?- What decision needs to be made?
- What information is required?
- What does the data mean?
- Who should be able to use it?
- What evidence is needed to trust it?
The data isn’t the whole product.
For data to be safely reused, consumers need more than access to rows and columns. A Latttice data product carries the context required to understand and trust it.
Business meaning
What the data represents and how it should be interpreted.
Quality
Whether the product is fit for its intended use.
Lineage
Where the data came from and how it was shaped.
Policy
The rules governing how the product may be used.
Access
Who, or what, is authorized to see it.
Evidence
The context required to understand and explain the result.
That context stays with the governed product as it moves from BI to AI.
One governed product. Many uses.
Published once, with its meaning, quality, lineage, policy, access and evidence attached.
Power BI
Operations teams monitor shipment risk and trends.
Excel
Planners investigate individual shipments and scenarios.
Application
Operational teams consume trusted shipment information inside their workflow.
LattticeGPT
A user asks: “Which shipments are most at risk and why?”
AI agent
An authorized agent monitors risk signals and recommends where attention may be required.
API
Another approved application consumes the same governed product programmatically.
Different experiences. Different users. Different decisions.The same governed foundation.
Reuse does not mean unrestricted use. Latttice applies the appropriate access and policy controls wherever the product is consumed.
AI shouldn’t have to rediscover your business.
An AI system may be able to retrieve data. That does not automatically tell it what the business means by it.
Every new AI initiative should not have to reconstruct that context independently. Latttice packages trusted data and business context into governed, reusable data products so authorized AI experiences can work from the same foundation already available to the business.
From BI to AI, trust should travel with the data.
Explore AI readiness- Which definition of revenue is authoritative.
- What a customer or supplier means in this context.
- Whether the underlying data is fit for purpose.
- Who is permitted to see sensitive information.
- Where a number originated.
- Which business rules apply.
- What evidence supports an answer.
BI isn’t going away. AI is joining it.
Businesses will continue to use dashboards, spreadsheets, analytics and applications. At the same time, people increasingly want to ask questions conversationally, embed intelligence into workflows and use AI agents to assist with decisions and actions.
These experiences should not become separate islands of business truth. Latttice provides a governed data product foundation that can support both.
Data Product
Same meaning. Same governance. Different experiences.
Your move from BI to AI shouldn’t mean rebuilding your data estate.
Latttice works with the enterprise technology you already have.
Connect existing enterprise data. Turn it into governed data products. Make those products available where trusted data is needed.
See how Latttice fits your stackBuild once. Govern once. From BI to AI.
Create trusted data products around real business needs. Govern them throughout their lifecycle. Reuse them across appropriate decisions, analytics, applications and AI.
One governed product. Many uses.
Dashboards, reporting and analysis.
Trusted data inside operational workflows.
Conversational interfaces, AI applications and authorized agents.
Common questions
What does “from BI to AI” mean?
It means the same governed data product can serve traditional analytics and newer AI experiences. Business intelligence remains part of the environment. AI joins it as an additional way to consume trusted data.
Does AI replace BI?
No. Dashboards, spreadsheets, analytics and applications remain important. AI adds conversational interfaces, copilots, AI applications and agents as further consumers of the same business data.
What makes a Latttice data product reusable?
A Latttice data product carries its business meaning, quality expectations, lineage, policy, access rules and supporting evidence. That context travels with the product, so another authorized use does not require reinterpreting the data.
Can the same data product be used by BI tools and AI agents?
Yes, where access and policy permit. The product is published once and consumed by authorized surfaces, including BI tools, applications, APIs, LattticeGPT and AI agents.
How does governance work when a data product is reused?
Reuse is always governed. Access, policy and purpose controls are applied wherever the product is consumed, so reuse never means unrestricted use.
Does Latttice require us to replace our existing data platforms?
No. Latttice works with the enterprise data, cloud, governance and analytics platforms you already use. There is no rip and replace.
Start with one decision.
See how Latttice turns the data you already have into trusted, governed products your business can reuse from BI to AI.
See Latttice with your own use case.
Bring us a business challenge, decision or data product idea. We'll show how Latttice can bring it to life using realistic synthetic data, without requiring access to your private data.
No sales pitch. Just a tailored demonstration for your scenario.
Want to talk through your data product challenge?
Share where you are, what's blocking progress, and how trusted data products could help. We'll connect you with the right person on the Latttice team.