Video summary

G11 BR: Conhecendo o Challenge | AI Builder - Oracle Next Education

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Key takeaways

Educational

Overview

The session introduced the AI Builder Challenge for Group 11 Brazil. Participants take the role of business AI consultants for Taranis Black, a fictional, rapidly growing company in the corporate furniture and ergonomics sector.

The central lesson is to understand the business problem before choosing a tool or proposing an AI solution. AI should improve efficiency and create value—not simply add cost or be applied everywhere.

The challenge is expected to take roughly 20–30 hours. It is a practical, formative activity rather than a quiz or conventional graded test. Completing it is required to progress to the certification phase.

Required Challenge Structure

Each participant must complete:

  1. All three stages of Route Zero, which address company-wide strategy.
  2. Stage one of one chosen vertical—not all four verticals.

Optional activities and the suggested five-minute demonstration video should come after the mandatory work.

Route Zero: Strategic AI Planning

  • Identify opportunities: Use an AI Canvas to map three promising AI use cases for Taranis Black. For each use case, explain the business problem it addresses.
  • Prioritize and plan: Create an effort-versus-impact matrix to help decide which initiatives to pursue first. Justify estimates and consider expected returns, team adoption, metrics, and change management.
  • Propose responsible-AI governance: Draft a company policy covering appropriate use of AI tools and data. Address sensitive-data protection and masking, LGPD compliance, bias and hallucinations, human oversight, roles, and governance. Document what people tested, reviewed, corrected, and decided. AI may assist, but people remain responsible for validation and decisions.

Choose One Vertical

1. Sales and Commercial

  • Create a constructive-sales playbook focused on negotiating based on value.
  • Identify the five main customer objections: price, fixed budget, approved supplier, delivery time, and customization.
  • Develop prompts to practice responses to those objections.
  • Optional: Create communication guidelines and personalized emails.

2. Marketing and Content

  • Define Taranis Black’s verbal identity using four pillars: scientific, empathetic, sophisticated, and uncomplicated.
  • Build a language matrix showing how the brand should communicate and what it should avoid.
  • Configure an AI assistant, such as a Gem, GPT, or equivalent skill, to follow that identity.
  • Test the assistant by adapting a sample article for different channels while maintaining a consistent brand voice.
  • Optional: Develop an editorial calendar, campaign, or visual direction.

3. HR and People

  • Build a leadership-training simulator with an AI persona representing a challenging employee or workplace situation.
  • Let managers practice giving feedback using the SBI model: Situation, Behavior, Impact.
  • Test and refine the simulator. It can help people prepare, but it cannot replace human sensitivity or responsibility for the conversation.
  • Optional: Explore people analytics.

4. Finance and Operations

  • Map the order-approval process using SIPOC: Suppliers, Inputs, Process, Outputs, and Customers.
  • Use a cause-and-effect, or fishbone, diagram to investigate potential causes of delays. The analysis uses six categories: method, people/labor, machinery, materials, measurement, and environment.
  • Identify three likely root causes and recommend a priority intervention, explaining why it could improve the process.

Deliverables and Submission

  • Prepare an individual executive report for the CEO containing Route Zero, the selected vertical’s required work, and evidence of the work.
  • The route-specific Google Docs templates are recommended to make the report easier to organize, but using the exact template is not mandatory.
  • Include evidence such as prompts, iterations, assistant configurations, analyses, screenshots or links, and explanations of what was reviewed and decided. Practical tests can strengthen a submission.
  • A demonstration video of about five minutes and the vertical’s optional activities are not mandatory.
  • Make the Google Docs document accessible through a public viewing link. Test that the link works, for example in an incognito browser window or by asking someone else to open it.
  • Submit the link through the challenge activity on the Lura platform and check for confirmation. Saving the document or posting its link in Discord does not count as submitting the challenge. The platform accepts up to five submission attempts.
  • The document can be created with a Google account different from the email used for the program, but participants must use their program account to access the platform.
  • The stated deadline was November 8. The presenters briefly mentioned a different date, then explicitly corrected and reaffirmed November 8. Participants were advised to confirm challenge details through official email and Discord announcements.

Guidance Emphasized in the Session

  • Start with the problem, not a preferred AI tool. Adding AI to a poorly understood process may worsen existing problems or increase costs.
  • Treat AI outputs critically: review them, test and refine prompts, and keep human validation visible in the documentation.
  • Complete the required work first. Courses and optional extensions are resources for support, not prerequisites to complete every available course.
  • Use Discord, the community, and support channels for questions. Collaboration can involve sharing ideas and explaining reasoning, but each participant must produce their own report.
  • The challenge is also an opportunity to build a portfolio project and practice strategic decision-making in a business context.

Speakers and Sources Featured

  • Amanda — Oracle Next Education program leader for Latin America; hosted the session and explained the schedule, expectations, and participant guidance.
  • Eric Moné — Alura instructor and content supervisor for the program; presented the technical challenge structure, routes, and submission process.
  • Referenced learning sources and materials: The AI Builder Challenge course on the Lura platform, its supporting materials and route-specific templates, the program’s training content, and a video about Luri attributed in the presentation to Paulo.
  • Participant support channels: The program community and Discord, along with official email communications.

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