Discover what really matters before writing a single line of code
AI Agents that work alongside your Product Owner and accelerate creating epics and user stories with quality, consistency, and human governance.
✦ 80% faster in creating epics and user stories.
✦ 20+ Specialist AI Agents working for your team.
The PO stays in control. AI does the heavy lifting.
Discover what truly matters before writing a single line of code.
The Product Owner (PO) remains in full control and holds primary responsibility. AI Agents accelerate execution while ensuring enhanced security and quality throughout the process.
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THE CHALLENGE
Every poorly defined requirement at the start of a project costs 10 to 100 times more to fix when it reaches production.
❚❚ Development team stalled waiting for requirements
AI-empowered dev teams have incredibly high delivery capacity. Development stalls due to a lack of ready User Stories, not a lack of code. The bottleneck is discovery, not execution.
↻ Rework that drains the budget
Ambiguous requirements lead to code that must be rewritten the largest hidden cost in any project.
⏩︎ Discovery treated as a rushed phase
In practice, it is the most critical stage. Yet, it is the most neglected due to a lack of time and proper tools.
Tangible results for product teams that need scale without sacrificing quality.
Agents identify blind spots, ask questions the team might not think of, and bring forward requirements that typically only surface in production.
The PO shifts from a requirement writer to a curator of intent, with the capacity to handle more epics and more projects with higher quality.
It’s not blind automation. It’s acceleration with governance.
The PO maintains full control and responsibility over what is generated; agents accelerate execution.
No content moves forward without explicit human validation.
What the Platform Delivers
Complete discovery documentation, generated by agents and validated by the PO.
Complete epics with description, objectives, scope, constraints, and completion criteria, structured based on the business context.
User stories following the INVEST standard, with clearly defined roles, actions, and value, covering main and alternative flows as well as points the team might not map immediately.
Structured criteria in BDD format (Given / When / Then), ensuring the QA and development teams know exactly what to validate.
Test scenarios derived from acceptance criteria, ready to support the QA team in validating deliveries with coverage and traceability.
Functional and non-functional requirements identified by agents from the project context, delivered alongside the stories to the development team.
All approved content can be exported to Word or published directly to the client's board in the order defined by the PO.
Check out some of our specialist AI Agents operating on the platform:
Business context analysis
Implicit requirements identification
Acceptance criteria generation
Blind spot detection
Consistency validation
Business rules traceability
Documentation review
And many others...
More than 20 Specialist AI Agents working with your team
We’ve brought development best practices that have existed for decades—such as pair programming and code review—to the discovery phase.
>>> Identify opportunities and blind spots
Agents ask the tough questions before development even begins.
>>> Enrich the business dialogue
They propose alternatives, challenge assumptions, and provide perspectives that internal teams might not have.
>>> Follow market quality standards
.INVEST, BDD, structured acceptance criteria, and full requirement traceability.
Client
Institutional representative of the largest health cooperative system in the world.
✦ Ensure integrity between business area demands and solution.
✦ Streamline user story production process.
✦ Guarantee the integrity of business rules.
✦ Product Owners subscribes to the GX2 AI Inception platform.
✦ Onboarding for capacity development, change management, and building a new work culture.
✦ People development support, along with cultural and process adaptations.
Results
✔ Increased productivity.
✔ Higher quality in User Story documentation.
✔ Automated support for software engineering process.
✔ Reduced dependency for documenting and maintaining business rules.
✔ Operational scale with continuous AI support.
✔ Framework ready for continuous evolution and digital innovation.
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Having all the documents in one place where they sync with each other—without having to open them one by one to check if you missed a rule, makes all the difference in the day-to-day.
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It adds a high level of analytical detail and business rules to the stories when interacting with the platform. The result is much more comprehensive.
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I also found it faster to adjust stories, since it re-analyzes everything whenever you change the context; nothing gets lost or becomes inconsistent.
