AI Strategy
Transform the potential of Artificial Intelligence into real value for your business
The potential of Artificial Intelligence is clear — and the path to capturing value doesn't have to be complex.
projects tend to fail
The reasons are well known:
Data quality is the foundation. Inaccurate or incomplete data leads to flawed outputs — nullifying even the most sophisticated models.
Integrating AI into legacy systems and existing workflows is a technical and operational challenge that organizations consistently underestimate.
Without clear objectives tied to business outcomes, promising initiatives become expensive experiments with no path to production.
A shortage of qualified professionals — combined with a culture resistant to experimentation — slows adoption and prevents AI initiatives from scaling.
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Doing the Right Thing
Define – FOCUS & POSITIONING
What are my stakeholders' business challenges and how do these challenges relate to opportunities? Identify ANCHOR CASES
Identify – ANCHOR CASES
Which use cases deliver the most impact and are aligned with my positioning? (Max. 5 recommended) Deliver value with DATA & AI |
Delivering
value with DATA & AI from transformational use cases
from everyday AI usage
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Doing It the Right Way
Define – ANALYTICS OP. MODEL
What is the level of autonomy to develop Data & AI products in the company and what is the operating model?
Build – CAPABILITIES
What capabilities are needed to apply Data & AI, and what is their maturity level in my organization?
Structure – TECHNICAL FOUNDATIONS
What improvements in the data architecture are needed to support our AI initiatives? Doing it the right way |
O potencial da Inteligência Artificial é claro, mas o caminho para a captura de valor é complexo.
Mais de 80% dos projetos de IA tendem a fracassar,
quase o dobro da taxa de falha de projetos de TI de uma década atrás. As razões são conhecidas:
“Lixo entra, lixo sai”: A qualidade dos dados é a base de tudo. Dados imprecisos ou incompletos levam a resultados falhos e anulam o potencial dos modelos.
“ChatGPT não é uma estratégia”: A ausência de metas claras e de alinhamento com os objetivos do negócio transforma projetos promissores em experimentos sem aplicação prática.
Desafios de Integração: Integrar a IA aos sistemas legados e aos processos de trabalho existentes é um desafio técnico e operacional gigantesco.
Falta de competências e cultura analítica: A escassez de profissionais qualificados e uma cultura resistente à mudança e à experimentação impedem a adoção e a escala das soluções.
How have we supported our clients in this challenge?
We believe that a successful AI strategy needs to connect business challenges to the right technical foundations.
Our approach structures this journey into building blocks, ensuring that each step is taken in the direction of value capture.
We operate end to end, from stakeholder mapping and the definition of strategic focus to value delivery with Data & AI. We lead each initiative through a clear and governed evolution pipeline, moving through phases such as opportunity mapping, Proof of Concept (POC), MVP, validation of scaled impact, and long-term sustainment.
What are my stakeholders' business challenges and how do these challenges relate to opportunities?
Identify ANCHOR CASESWhich use cases deliver the most impact and are aligned with my positioning? (Max. 5 recommended)
Deliver value with DATA & AIvalue with
DATA & AI
What is the level of autonomy to develop Data & AI products in the company and what is the operating model?
What capabilities are needed to apply Data & AI, and what is their maturity level in my organization?
What improvements in the data architecture are needed to support our AI initiatives?
Doing it the right wayTo make this journey a reality, we operate on three main fronts that adapt to your maturity and needs:
We conduct a comprehensive assessment of your data and analytics capabilities, evaluating the essential layers for AI implementation, from infrastructure to the operating model. Based on your business challenges, we co-create a prioritized roadmap, balancing short-term value generation with the building of capabilities for the future.
We identify and structure the “anchor cases” — those high-impact projects that will not only generate the greatest value but also accelerate the transformation and the development of new AI capabilities in your organization.
Focus on business problems
We begin by understanding your challenges and then apply AI to deliver effective solutions that generate real impact.
End-to-end delivery with excellence
We ensure a fluid journey, from strategy design to the implementation of scalable AI solutions, covering the Strategy, Transformation and Delivery fronts.
Robust and agnostic experience
We have more than 650 talents, including 150 specialists such as Data Scientists and Data Engineers. We are technology-agnostic and partners of the leading market players, such as Azure, AWS, Google Cloud, Databricks, and Snowflake, always choosing the ideal stack for your challenge.
Building capabilities within your team
Our objective is to empower your organization so that it adopts AI effectively and autonomously. For this reason, culture and capability-building are a central part of our approach. A successful AI strategy depends on people.
Who benefits from our solution?
Our solution helps organizations design and execute Artificial Intelligence strategies that drive business transformation. We help coordinate initiatives, optimize investments and, above all, clearly demonstrate value and return on investment (ROI) to leadership.
Success Case
Process optimization in the steel sector
For a global leader in the steel industry, the challenge was to optimize its industrial processes to reduce costs and increase efficiency.
Result:
The project not only generated annual savings of more than R$25 million but also created a new playbook for process optimization in other units of the company, multiplying the impact and setting a new standard for operational efficiency based on data.
