In recent years, the advancement of artificial intelligence applied to business has redefined how companies plan, execute, and scale their operations.
In a data-driven market, competitive advantage no longer lies only in having information, but in transforming it into fast, intelligent, and sustainable decisions.
This was exactly the turning point for Code.B, a São Paulo startup that decided to revolutionize how digital campaigns are planned and optimized.
The result? A leap of up to 80% in operational efficiency, driven by a generative AI solution built on AWS Bedrock and cloud architecture developed by ST IT Cloud.
The complete Code.B case was published on the AWS Brazil blog, with technical details about the solution developed, the cloud architecture, and the results achieved. Read the full case on the AWS Brazil blog.
The challenge: scaling performance in a highly complex market
In digital marketing, time equals results. And Code.B, which was born within the Bull Digital ecosystem, knew the challenge well: Google Ads campaign planning was still a manual, time-consuming, and subjective process.
On average, each plan required three hours of work, totaling dozens of weekly hours dedicated to analysis, data cross-referencing, and budget and performance estimates.
For companies with high client volume, such as agencies and e-commerces, this limitation was a clear bottleneck for operational efficiency.
Furthermore, the team faced another dilemma: how to make the process smarter without compromising the strategic quality of the campaigns?
In short, it was necessary to automate without losing analytical insight, and this is where ST IT Cloud, a specialist in data, cloud, and generative AI, entered the picture.
The turning point: when AWS partnership meets applied innovation
Alongside Code.B, ST IT Cloud took on the role of technical architecture developer and AWS partner responsible for enabling project automation and scalability.
The proposition was ambitious: create a platform capable of planning complete paid media campaigns based on real data — product, budget, average ticket, and lead goals — and deliver automatic strategic recommendations in minutes.
This vision gave rise to the Code.B AI Planner, a media planning system based on generative AI and AWS Bedrock, built on a modular and secure cloud architecture.
The solution: generative AI and cloud architecture working together
ST IT Cloud designed the entire technical architecture of the solution, applying the scalability and security principles of the AWS Well-Architected Framework.
Efficiency-oriented cloud architecture
The project was developed in a multi-agent approach with AWS Lambda functions, each responsible for a specific step in the pipeline — from data collection and normalization to campaign generation and validation.
Google Ads data was accessed via API and processed by foundational models on Amazon Bedrock, where Anthropic's Claude Sonnet 4.0 model transformed the information into complete media plans, including targeting, budgets, and ROI projections.
This architecture ensured real-time response, secure distribution, and high availability, sustained by components such as:
- AWS Step Functions, for orchestration and parallelism;
- Amazon S3, for campaign storage and versioning;
- AWS Secrets Manager, for secure credential management;
- AWS KMS, for sensitive data encryption;
- Amazon API Gateway, which centralizes requests and applies security policies.
On the front end, AWS Amplify was adopted to offer a lightweight, scalable, and responsive interface, essential for a fluid user experience.
Automation with generative AI
The differentiator of the Code.B AI Planner lies in the ability to use generative AI not just as a creation tool, but as a decision mechanism.
Through Amazon Bedrock, the AI agent interprets user inputs, cross-references with historical and market data, and generates precise campaign recommendations.
The automated post-processing verifies coherence, format, and financial viability, ensuring consistency and reliability before publication.
The result is a fully automated process, where planning time is reduced from days to minutes, with more predictable and measurable performance.
Results: from complexity to scale
The impact was immediate. With the support of ST IT Cloud and AWS, Code.B was able to:
- Reduce campaign planning time by up to 80%;
- Improve ROI estimate accuracy based on real data;
- Increase service capacity without raising operational costs;
- Expand the platform offering to new markets and business models.
According to Gabriela Martins, CEO of Bull Digital and co-founder of Code.B:
“The Code.B AI Planner was born to transform manual work into applied intelligence. ST IT Cloud was essential in structuring the technical foundation that made this vision scalable, secure, and global.”
This transformation was not limited to productivity: it redefined how Code.B sees data as strategic assets — one of the pillars of artificial intelligence applied to business.
Technical backstage: security, governance, and scalability
Behind the results, there is solid data engineering. ST IT Cloud adopted governance and security policies aligned with AWS best practices:
- AWS Secrets Manager ensured secure management of Google Ads API keys, preventing exposure in source code.
- AWS KMS centralized data-at-rest encryption.
- Amazon Bedrock Guardrails applied moderation policies and quality control of AI responses, ensuring the generated content was reliable and aligned with the business purpose.
This structure brought compliance, traceability, and predictability — fundamental attributes for companies that want to adopt AI at scale.
Strategic impact of artificial intelligence applied to business
Code.B's journey reflects the true meaning of artificial intelligence applied to business: it is not about replacing people, but about expanding capabilities.
With the technical and strategic support of ST IT Cloud, the startup managed to convert dispersed data into automated decisions, and manual processes into intelligent flows.
The project demonstrated how generative AI, when combined with a well-planned cloud architecture, generates concrete gains in operational efficiency, cost reduction, and time-to-market acceleration.
Furthermore, the case evidences the role of the AWS partnership as the foundation of this transformation, ensuring robust infrastructure, governance, and security at every stage of the AI cycle.
The next step: expansion and continuous evolution
The success of the Code.B AI Planner opened the door to new evolutions. The next phase of the project, already under development with ST IT Cloud, plans:
- Integration with new data sources and platforms;
- Expanded use of generative AI for advanced campaign personalization;
- Predictive recommendations in natural language, connecting marketing and sales in a single intelligent journey.
With this, Code.B positions itself to scale globally, bringing the potential of AI automation to companies of any size, always supported by the technical and strategic foundation of ST IT Cloud.
Innovation as the axis of efficiency and sustainable growth
The story of Code.B and ST IT Cloud demonstrates that artificial intelligence applied to business is no longer a promise — it is a reality that transforms processes, reduces costs, and generates tangible competitive advantage.
With its expertise in cloud architecture, data, and generative AI, ST IT Cloud consolidates itself as a high-performance AWS partner, ready to support companies that want to evolve safely, scalably, and intelligently.
Conclusion: in a data-driven world, true innovation happens when technology, strategy, and purpose converge. And it is exactly this convergence that ST IT Cloud delivers in every project.
Adopting Generative Artificial Intelligence is more than evolving technologically — it is rethinking processes and expanding possibilities.
With AWS Generative AI Competency, ST IT Cloud guides organizations in this transformation, making innovation a real engine of efficiency and scale.
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