Brazilian bank Itaú is building a generative AI experience designed to reach its entire customer base by the end of 2026. In an OpenAI customer story published October 16, 2026, the bank outlines two central pieces of its AI First strategy: ia.i, a conversational interface for customers, and IARA, a governance and orchestration platform for deploying models safely inside a highly regulated business.
ia.i: banking through conversation
ia.i lets customers interact through text or voice across checking accounts, credit, cards, insurance and other services, with access to human specialists when necessary. The experience combines conversational interaction with navigation and other modalities. Itaú says approximately 300,000 customers participated in its first phase; making the experience available to its full customer base by the end of 2026 is a goal, not an achieved rollout.
The bank's broader Customer DNA layer maintains financial context for approximately 70 million customers. OpenAI GPT models are among the components used to maintain and enrich that context under the bank's governance controls. This context should not be confused with a claim that all 70 million customers are already using ia.i.
Why Itaú uses a range of models
Itaú's CTO Carlos Eduardo Mazzei explains that a broad range of models supports both low-latency, cost-sensitive interactions and more demanding tasks requiring reasoning and grounding. The architectural lesson is that one customer experience can be powered by different models depending on complexity, cost and response-time requirements.
IARA: governance before scale
IARA provides controlled access to models from multiple providers, including OpenAI. The platform is designed to manage observability, token costs, response quality and responsible AI policies. In banking, these safeguards matter because personalized responses must align with institutional policies, regulatory expectations and protections against bias.
One reported deployment is Itaú's legal workflow, built around a repository containing more than 90 million documents and processing over two million tasks per month. According to the bank's account, efficiency improvements in stages of the department's processes range from 20% to 80%. These figures describe particular internal processes, not a bank-wide productivity increase.
AI First also changes employee workflows
The strategy extends to managers and service teams, supporting meeting preparation, summaries, research and customer support. Itaú describes ambitions for more time devoted to relationships, faster service and more effective conversations. These expectations should not be presented as independently verified outcomes.
What the case means for enterprise AI
The Itaú example highlights a shift from standalone chatbots toward governed AI infrastructure that connects models, customer context and operational workflows. The bank emphasizes usability over model visibility: customers should experience simpler financial interactions rather than needing to understand the technology behind them.
For teams studying AI visibility and discovery, the broader implication is that conversational interfaces increasingly become a direct interaction layer between institutions and their users. However, this announcement does not report changes to Google Search, Bing, crawling, indexing, AI search citations or organic rankings. It is an enterprise AI adoption story, not a confirmed SEO platform update.
What's next?
Itaú plans to expand ia.i across its customer base by the end of 2026, adding capabilities such as product simulations, sign-ups and recurring analyses of income, spending and financial habits. The stated timeline and roadmap remain company plans subject to future execution.
NetContentSEO assessment: The notable development is the combination of a multimodal customer interface, a large contextual data layer and a centralized governance platform. For regulated enterprises, operational controls and measurable usefulness may be as important as raw model performance.
Primary source: OpenAI — How Itaú is building generative AI for its entire customer base, October 16, 2026.