Business strategy
Intent and value
- Objectives
- Use Cases
- Priorities
FOR DATA, GOVERNANCE AND AI LEADERS
Connect data
directly to business
Maysano connects business objectives, use cases and data products in one knowledge graph, with built-in governance, lifecycle management and explainable AI agents. It works alongside your existing catalogs and data platforms.
Business & product layerMAYSANO
Business Objectives
Business Use Cases
Data Products
Built in across the portfolioGovernance & Lifecycle Management
Runs above and connects to
Existing platformMetadata Management
Existing platformData Management
- 01Connect strategy to data productsSee which objectives and use cases each data product supports, in one knowledge graph.
- 02Governance inside the workOwnership, evidence, policies and controls applied while teams create, develop, review and operate.
- 03AI Agents operationsAI agents work from objectives, use cases, products, governance and lifecycle context, not an isolated prompt.
THE PROBLEM
Your business and your data speak different languages
Business teams define outcomes. Data teams manage products, platforms and pipelines. Governance adds policies and controls, while AI teams need enough context to understand what any of it means. The connections are often weak, manual or missing.
Missing connectionManual mapping · fragmented context
Data estate
Assets and operations
- Catalogs
- Data Products
- Platforms
- Metadata
Maysano
Connects the language of business intent to the language of enterprise data.
THE CONNECTED MODEL
One connected model from objective to delivery
Maysano creates a knowledge graph of the business objects surrounding data products. A product no longer exists as an isolated technical asset: you can see why it exists, who depends on it, who owns it, how it is governed and where it sits in delivery.
- 01ObjectiveWhy change matters
- 02Use CaseHow value is created
- 03Data ProductsWhat the work needs
- 04GovernanceWhat must be true
- 05LifecycleWhere each product stands
- 06DeliveryWhat happens next
A CONCRETE EXAMPLE
See the connection
One banking objective becomes a governed portfolio of products, responsibilities and delivery work.
- Business objectiveReduce SME loan approval time
- Use caseAutomated SME credit assessment
- Required data productsCustomer ProfileCredit HistoryTransaction Behaviour
- GovernanceOwnersQuality requirementsPoliciesAccessRisk controls
- Delivery1Planned2In Development3Review4Operational
PRODUCT DEMOS
See Maysano in action
Short working stories showing how business context becomes managed data product work.
- Business discussionContext is captured
- Working noteIntent becomes usable
- Managed candidateWork enters its lifecycle
DEMO 01
From Business Discussion to Data Product Candidate
Most data product work starts before there is a data product. It starts with a business discussion.
A Business Owner and Data Product Manager start with a working note captured from an earlier discussion. They use that context to create and review a data product candidate, place it into lifecycle management, and connect it back to the business objective and use case.
This is not a feature tour. It is one practical working story showing how Maysano connects business context, use cases and data products in one managed flow.
Watch on YouTubeDIFFERENTIATION
The business layer above data and metadata management
Maysano captures business objectives and use cases, connects them to the data product portfolio, and manages governance and lifecycle in the same operating model.
Maysano
Business context
Business ObjectivesPrioritiesBusiness Use CasesBusiness Outcomes
Portfolio operating model
Knowledge GraphData Product PortfolioLifecycleGovernanceAI Agents
Data & metadata systems
Existing foundation
Data CatalogsMetadata PlatformsData PlatformsWarehousesLakehousesOperational Systems
Complementary by design. Maysano owns the connected business and product context. Catalogs, metadata platforms and data platforms remain the underlying systems.
Download the Maysano overviewDEPLOYMENT MODELS
Two deployment models. One Maysano operating layer.
Choose an all-in-one local AI package for a smaller company or a customer-cloud deployment for a larger or regulated environment. The connected business operating layer stays the same.
Same business processes, governance and portfolio context - different deployment choices.
MINIMUM LOVABLE GOVERNANCE
Governance built into the work
Minimum Lovable Governance means applying the ownership, evidence, policies and controls a product needs while teams create, develop, review and operate it—not as a separate gate after the work has already happened.
Teams see what applies while they work.
- 1Create
- 2Develop
- 3Review
- 4Operate
- 5Improve
Minimum Lovable Governance
- Ownership
- Controls
- Evidence
- Policies
Not a final gate. A shared operating layer throughout the lifecycle.
PORTFOLIO-AWARE AI
AI agents operate in your portfolio
Agents operate on the connected graph containing business objectives, use cases, data products, governance and lifecycle context—not on an isolated prompt. Built-in monitoring and a kill switch keep agent operations observable and under human control.
Shared operating contextEnterprise knowledge graph
- Objectives
- Use Cases
- Data Products
- Governance
- Lifecycle
- Delivery
Portfolio agents use this context to explain gaps, dependencies, governance needs and change impact.
- 01Explainable
Actions and reasoning remain visible.
- 02Auditable
Activity and decisions leave a reviewable record.
- 03Controllable
Human oversight and kill controls stay available.
- 04Externally configured
Standardized recipes keep behavior outside application code.
OPEN RECIPE LAYER
The recipe approach builds on open standards in the LF AI & Data Open Data Product Specification ecosystem, keeping agent behavior portable and reviewable.
THE PRODUCT
From portfolio understanding to action
Maysano brings portfolio relationships, lifecycle management, governance, delivery monitoring and assistant-led analysis into one working environment.
What supports this objective?
Portfolio graph connects objectives, use cases and the products they require.
Where are the gaps or blockers?
Lifecycle, ownership, governance and delivery context show what needs attention.
What should we do next?
Portfolio Assistant turns connected context into explainable, reviewable actions.
Portfolio graphData product lifecycleTalk-to-PortfolioGovernanceDelivery monitoringJira integration
PROOF & REFERENCES
Open foundation. References in the demo
The data product foundation behind Maysano is open and public, so you can review it before you speak to us. Customer references are shared in the demo.
Open Data Product Specification ecosystem
Product definitions, contracts, relationships and agent recipes build on the LF AI & Data open standards, so your portfolio context stays portable and machine-readable.
See the open foundationReferences and enterprise review, in conversation
We share customer references directly, once they are approved for your evaluation, and walk through the enterprise questions your team will ask.
- Customer references, once approved for sharing
- Deployment and architecture review
- Security, access control and auditability
WHO BUILT MAYSANO
Built from data product practice
Jarkko Moilanen, PhD
Jarkko shaped Maysano around a practical need: turn business intent and source material into governed data product portfolios and operational product systems. His work spans enterprise and government AI and data product strategy, portfolio operating models, knowledge graphs and open data product standards.
Read Jarkko's Maysano backgroundOPEN FOUNDATION
Built on an open data product foundation
Maysano works with the LF AI & Data Open Data Product Specification ecosystem so product definitions, contracts, relationships and agent recipes can remain portable and machine-readable.
- Portable product definitions
- Reduced vendor dependency
- Agent-ready product context
- Interoperability across the data estate
Open Data Product Specification ecosystem
- ODPSProduct definition
- ODPCProduct contracts
- ODPGProduct relationships
- ODPVValue evidence
- ODPRAgent recipes
ENTERPRISE TRUST
Designed for enterprise environments
A Maysano evaluation includes the architecture, controls and ownership boundaries around the product—not only a feature tour.
Deployment & architecture
Review hosting, network and integration boundaries for the target environment.
Security & access control
Map portfolio access and responsibilities to enterprise identity and control requirements.
Auditability
Keep product decisions, changes and agent activity visible for human review.
Integrations & ownership
Connect delivery and data systems without changing ownership of the source data.
AI model flexibility
Keep portfolio context and agent recipes separate from the selected model runtime.
FREQUENTLY ASKED QUESTIONS
Questions enterprise teams ask first
Clear answers about where Maysano fits, what it connects and how it operates in an enterprise environment.
What does Maysano connect?
Maysano connects business objectives and use cases to data products in a shared knowledge graph. Governance, lifecycle and delivery context stay attached to the same portfolio.
Does Maysano replace our data catalog or data platform?
No. Maysano works above and alongside catalogs, metadata platforms, data platforms, warehouses, lakehouses and operational systems. Those remain the underlying systems.
How is governance built into the work?
Ownership, policies, evidence, controls and access requirements are applied while products are created, developed, reviewed and operated—not as a separate final gate.
What do AI Agent operations do?
AI agents use connected portfolio context to explain gaps, dependencies, governance needs and change impact. Activity and reasoning remain reviewable, with human oversight and kill controls available.
Can Maysano work with our existing AI and enterprise architecture?
Portfolio context and agent recipes stay separate from the selected model runtime. Deployment, identity, access, network and integration boundaries are reviewed for the target environment.
What happens in a 30-minute demo?
We walk through strategy-to-product connections, governance and lifecycle inside the work, portfolio gaps and dependencies, AI Agent operations and the enterprise questions relevant to your environment.
BOOK A 30-MINUTE DEMO
Connect your data portfolio to the business
In 30 minutes, see how Maysano connects objectives, use cases, data products, governance and delivery in one operating model.
- 01Strategy connected to dataObjectives, use cases and data products linked in one knowledge graph.
- 02Governance in the workOwnership, evidence, policies and controls across create, develop, review and operate.
- 03AI Agent operationsPortfolio-aware agents explaining gaps, dependencies, governance needs and change impact.