AI Inception
Product teams grow. The backlog grows even faster. But time and budget stubbornly refuse to keep up. That’s exactly the challenge that led Unimed Brasil to pursue a different approach: automating the Discovery phase with AI Agents while preserving governance, technical quality, and human control where it matters most.
The Client: Unimed Brasil
Unimed Brasil is the institutional representative of the largest healthcare cooperative system in the world. With nationwide operations and a high-volume Product organization, the company faces a challenge common to large enterprises: how to maintain quality and technical governance in delivery as demand continuously scales.
The Product Owner team needed to produce more well-structured epics, complete user stories, and clear requirements without compromising traceability or the technical standards required at this scale.
The Challenge: Scaling Discovery Without Losing Quality
The Discovery phase is traditionally a bottleneck in software development. This is where user stories, epics, and requirements are defined and ultimately guide all engineering teams. When Discovery fails due to vague specifications, incomplete requirements, or lack of coverage, the cost shows up later as rework, delays, and budget overruns.
“The issue wasn’t team capability, it was volume. We needed scale without sacrificing the quality of each delivery.”
Unimed Brasil needed to empower its Product Owners with greater operational efficiency, intelligent automation, and scalable delivery capacity while maintaining quality and governance in every cycle.
- High volume of concurrent demands
- Rework caused by incomplete requirements
- Slow Discovery as a recurring bottleneck
The Solution: GX2.AI Inception – AI Agent Platform
GX2 implemented Inception, its proprietary AI Agent platform, delivered through a subscription model with structured onboarding and a dedicated methodology designed to enhance the Product team’s performance.
The core value proposition is simple and powerful: the same team, clearer specifications, less rework, and protected budget. AI Agents do not replace Product Owners, they amplify their delivery capacity.
How It Works in Practice
1. Project Setup
The Product Owner accesses the platform, defines the project, and uploads reference documents. They establish general guidelines such as context, objectives, and business rules that will guide all Agents.
2. Epic Setup
For each epic, the Product Owner defines specific goals and rules and uploads complementary reference materials. The level of detail is controlled by the team.
3. AI Agents Process Everything
The Agents analyze all available information, interpret business rules, identify implicit requirements, and automatically generate complete user stories and structured epics.
4. Human Validation
The Product Owner reviews and refines the output, validates user stories, adjusts details, adds context, and approves for integration. Humans remain in control of critical decisions.
5. Seamless Integration with Your Stack
Approved stories are automatically created in existing management platforms such as Jira, Azure DevOps, ClickUp, and others, with no migration friction or tool changes.
Business Impact
The adoption of GX2 Inception brought direct benefits to the Product organization:
- Faster Documentation: User stories and epics generated in a fraction of the traditional time
- Improved Requirement Coverage: Agents identify gaps that could otherwise be missed
- Quality & Governance: Technical standards consistently maintained across deliveries
- Human-in-the-Loop: Product Owners approve and decide, AI executes and accelerates
- Seamless Integration: Compatible with leading management platforms
- Protected Budget: Less rework means lower costs and greater predictability
Results Achieved
With GX2 Inception, Unimed Brasil achieved measurable gains in Product operations and software engineering quality:
- Significant increase in Product Owner productivity
- Automated, intelligent support for software engineering processes
- Scalable operations powered by AI without increasing headcount
- A foundation for continuous evolution and long-term digital innovation
- Substantial reduction in rework caused by incomplete specifications
The same team. Clearer specifications. Less rework. Protected budget. That’s what happens when AI and humans actually work together instead of stepping on each other’s toes.
Why This Matters for Your Product Team
Unimed Brasil’s case is not unique. Product teams everywhere face the same dilemma: demand grows, but resources don’t scale at the same pace. The real question is not “Should we use AI?” but “How do we use AI to amplify our team’s capabilities without losing control and quality?”
GX2 Inception answers that directly: an AI Agent platform designed for real Product workflows, fully integrated into your existing tools, with human validation at every critical step and measurable results from the first sprints.
If your organization deals with high volumes of product demand and is looking to scale operations without compromising technical quality, this is a conversation worth having.
Ready to Transform Your Discovery?
Talk to a GX2 specialist and see how Inception can be implemented in your context, with structured onboarding and a methodology tailored to your team.
