Business context
Connect objectives, signals, use cases and the everyday business files teams already use, including PowerPoint, Word, Excel, email and PDF sources.
MAYSANO PORTFOLIO STUDIO
Turn business material into data product portfolio decisions in minutes
Turn the PowerPoint decks, Word documents, Excel sheets, emails, PDFs, objectives, signals and use cases your teams already have into a structured data product portfolio for review, prioritization and delivery. Portfolio Studio keeps the business context connected throughout the process.
Built on open data product standards developed under the Linux Foundation.
Time saved
92-98%
Less preparation timeUse existing source material and written guidance to prepare the first structured package for review.
3-6 hours
Typical manual preparation
5-15 minutes
Portfolio Studio first draft
Estimate covers preparation of the first structured draft and shareable package. Review, approval, procurement, and implementation are excluded.
AI runtime cost
Studio works with low-cost and local LLMs
Portfolio Studio is designed for evidence-handling and structured-output workloads that do not require frontier models by default. Suitable local and economical online models can keep generation costs low while the review stays with people. When local models are preferred, Studio can work with LM Studio and Ollama-based runtimes.
Average Cost per Request
$0.0003
Demo
See Portfolio Studio in action
Watch a short walkthrough of the main Portfolio Studio workflow, from business inputs to a decision-ready portfolio.
The demo covers
- Creating a portfolio
- Adding PowerPoint, Word, Excel, email, PDF and other business material
- Generating structured data products
- Reviewing connected business context
- Portfolio versions and decision progress
- Portfolio Assistant
- Jira delivery handoff and progress monitoring in Studio
Explore Studio capabilities
See how Studio supports the full path from portfolio creation to approval and delivery.
Build Your Portfolio
See how Studio turns business inputs into a structured data product portfolio with objectives, use cases, signals, and product needs connected.
Watch video
Talk to Your Portfolio
See the Assistant answer business questions using portfolio context, with a focus on decision support rather than generic chat.
Watch video
Prepare for Approval
See how Studio turns the portfolio into an approval-ready package with priorities, expected outcomes, risks, assumptions, readiness, and decision material.
Watch video
Export to Jira
See the handoff into delivery, including Epic and Feature creation, retained business context, and progress monitoring back in Studio.
Watch videoProduct value
Move from scattered material to a decision-ready portfolio
Structured portfolio
Generate consistent product definitions, relationships and portfolio packages from material the organization already has.
Decision support
Review priorities, assumptions and recommendations before moving selected products toward delivery.
Business value
Faster, more structured portfolio planning
Portfolio Studio helps teams move faster, improve decision quality, and create a clearer basis for delivery.
Less technical dependency
Business teams structure objectives, needs, signals, and use cases before technical design begins.
Better decisions
Goals, evidence, use cases, and proposed data products stay connected for review.
Earlier validation
Teams assess candidate data products before investing in delivery, procurement, or automation.
Clearer governance and communication
Source files, generated outputs, versions, and portfolio decisions remain traceable and shareable.
How it works
From existing business material to a governed portfolio
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01
Add material
PowerPoint decks, Word documents, Excel sheets, emails, PDFs, objectives, product needs, signals and use cases.
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02
Add guidance
Define scope, language and portfolio-specific instructions.
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03
Generate
Portfolio Studio structures the information into connected products and business context.
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04
Review
Leadership and teams review the portfolio, assumptions and recommendations.
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05
Decide and deliver
Selected products move into integrated delivery workflows, for example Jira, while Studio keeps decision context and delivery progress visible.
Business context
The product is only part of the decision
Portfolio Studio keeps each data product connected to the business reason behind it. Objectives, signals, needs and use cases remain connected through portfolio review and into delivery. This gives decision-makers more context than a list of technical assets.
This connected context makes portfolios easier to review, explain, hand over and evolve.
Workflow as product
Treat the workflow around the portfolio as part of the product
Portfolio Studio does more than generate product definitions. It supports the workflow around them, from business material and portfolio generation through review, decisions, versioning and delivery handoff into tools such as Jira.
Delivery progress can be monitored from Studio so the original business context stays connected to execution.
Portfolio Assistant
Ask business questions with the full portfolio in context
The Assistant grounds its answers in your objectives, signals, use cases, products and decision history. Teams can explore priorities and rationale without reducing the experience to generic chat.
Answers remain transparent and traceable, helping teams reach aligned decisions faster.
Business to delivery
Move into delivery without losing business context
Approved portfolio items become Jira Epics and Features while the objectives, use cases and data product context stay connected.
Delivery status flows back into Studio, giving decision-makers a clear view from original intent to execution.
Open standards
Built on an open standards foundation
Portfolio Studio uses the Open Data Product Specification family developed under the Linux Foundation. This gives the generated portfolio a structured and portable foundation rather than locking its meaning inside the application.
Learn about the open standards
- Data Product Specification
- Data Product Catalogs
- Data Product Graphs
- Data Product Recipes
Learn Data Products
Learn the methods behind Studio
Studio helps you apply data product practices. These courses teach the methods, standards and operating models behind them.
Recommended start: strong business focus
Data Product MasterClass
Build the fundamentals of designing, managing and scaling data products.
View course (opens in a new tab)
Recommended start: technical orientation
Scalable Data Product Value Management with Agent ready SDK
Build AI-ready data product portfolios using the ODPS standards family, SDK and agent workflows.
View course (opens in a new tab)
Master the Open Data Product Specification with GPT Tool
Learn ODPS and create machine-readable data product specifications with AI support.
View course (opens in a new tab)
Data Products - Minimum Lovable Governance MasterClass
Create lightweight governance that makes data products trusted without slowing delivery.
View course (opens in a new tab)
Data Product Monetization MasterClass
Learn how to define value, pricing and monetization models for data products.
View course (opens in a new tab)Enterprise deployment
Designed for enterprise deployment
Portfolio Studio is intended for organizations that need portfolio decisions, data product context and delivery handoff to sit inside their own governance model.
The architecture direction supports controlled deployments and integration patterns without presenting every enterprise capability as already production-ready.
Customer environment
Portfolio Studio is available as a guided SaaS trial and can also be deployed for customer-controlled environments when governance requires it.
Business and technical governance
Keep decision context, data products and delivery information connected.
Integrated AI gateway
Studio includes an AI gateway layer for controlled model access, workload routing, guardrails, policies, budgeting and provider governance. Local AI-ready, with Qwen3 32B-compatible runtime recommended as the strong baseline for suitable evidence-handling and structured-output workloads. As an online option, GPT-4o mini has performed well for many Studio workloads, showing that frontier models are not required by default.
Enterprise integration
Architecture designed for identity, permissions, auditability and delivery integrations such as Jira, with progress visible back in Studio.
Security & control
Keep portfolio intelligence inside your governance boundary
Deploy Studio with the privacy, model and review controls your organization requires.
Data protection
PII masking and prompt-injection guardrails for sensitive source material.
Deployment
Self-hosted with no product telemetry, so your data never leaves your infrastructure.
AI gateway
Route work through the integrated AI gateway to approved local or online model providers.
Human review
Keep people in control of generated portfolios before approval or delivery.
Policy control
Fit identity, permissions, usage controls and budget policies to your operating model.
Traceability
Retain the source context behind generated products and portfolio decisions.
Pricing
Choose the right plan for your team
Design Partner
$25,000one-time
For early customers who want a deployed solution and direct product collaboration.
- One customer-managed deployment
- Basic configuration and branding
- Annual software license, Year 1
- Standard support and product updates
- Guided setup of first portfolio
Enterprise Deployment
$53,000one-time
For organizations that want Portfolio Studio deployed in their own environment.
- Deployment and configuration
- Annual software license, Year 1
- Onboarding and first portfolio
- Administrator training and documentation
- Standard support, updates and bug fixes
Enterprise Plus
From $65,000one-time
For large organizations that need stronger support, governance or custom needs.
- Everything in Enterprise Deployment
- Enhanced support options
- Named support contact
- Quarterly product reviews
- Advanced configuration and deployment help
Prefer to start the conversation first?
Contact on LinkedIn
All plans include the first year of software license. SaaS trial access is available for evaluation. Customer-environment deployment requires a separate integration project to set up access, configuration, delivery workflows, and operational readiness.
Frequently asked questions
What teams ask before getting started
What is Maysano Portfolio Studio?
Portfolio Studio turns existing business material into a structured data product portfolio for review, prioritization, approval and delivery.
What source material can we use?
Teams can work from the material they already have, including PowerPoint presentations, Word documents, Excel sheets, emails, PDFs, objectives, signals and use cases.
How can teams use the Portfolio Assistant?
The Assistant can answer portfolio questions through different personas, respond in different languages, and accept either typed questions or speech input when voice is enabled.
Does Portfolio Studio replace human review?
No. Studio prepares a structured first draft and keeps people in control of review, prioritization, approval and delivery decisions.
Do we need a frontier AI model?
No. Studio is designed for evidence-handling and structured-output workloads that can run with suitable local models or economical approved online models.
Can we use a local LLM?
Yes. If you have a suitable local LLM running and available to Studio, it can be used for supported workloads through local runtimes such as LM Studio or Ollama.
Can Portfolio Studio run in our own environment?
Yes. Portfolio Studio can be used through a guided SaaS trial and can also be deployed into customer-managed environments when infrastructure and governance require it.
How does Studio protect sensitive information?
Deployments can route AI work through the integrated gateway and apply PII masking, prompt-injection guardrails, controlled model access, workload-level policies and budgeting to sensitive source material.
Can portfolio items move into Jira?
Yes. Approved portfolio items can become Jira Epics and Features while their business context stays connected, with delivery progress visible back in Studio.
What does the first engagement include?
Depending on the selected plan, the engagement can include deployment, configuration, onboarding, administrator guidance and preparation of the first portfolio.
Next step
Turn your next data product initiative into a decision-ready portfolio
See how Portfolio Studio works with the material and processes your organization already has.