AI Experience
We integrate AI research, design and technology into brand identity and operations. From diagnosis to production, every step has method, clear deliverables and defined success criteria.
We start by understanding where AI creates real value and how it fits the company's existing identity. Through diagnosis, research, and live lab sessions, we identify the right opportunities for that specific context. From that understanding, we define voice, identity, behavior, and brand standards before development, so AI scales with what sets the business apart.
We build, test, and deploy agents and applications with governance from day one. Continuous monitoring ensures that what was built keeps working and evolving. Every decision connects what AI delivers to what the brand needs to preserve.
AIX Research & Strategy
AIX Diagnosis
We map where the company stands in the AI landscape: current maturity, real opportunities, and the smartest path between the two. The output is an action plan with defined decisions: tools, models, vendors, real costs, and benchmarks tailored to the company's context.
AIX Lab
Building on the diagnosis, we test the identified tools and opportunities in real-world settings, using the company's actual data and processes. The team leaves with clarity on what actually works and the concrete next steps.
Experience Deep Research
We process the data the company already has at scale: tickets, surveys, calls, reviews. We use AI to find the patterns, and our researchers interpret what they mean in that specific context.
AIX Diagnosis
We map where the company stands in the AI landscape: current maturity, real opportunities, and the smartest path between the two. The output is an action plan with defined decisions: tools, models, vendors, real costs, and benchmarks tailored to the company's context.
AIX Lab
Building on the diagnosis, we test the identified tools and opportunities in real-world settings, using the company's actual data and processes. The team leaves with clarity on what actually works and the concrete next steps.
Experience Deep Research
We process the data the company already has at scale: tickets, surveys, calls, reviews. We use AI to find the patterns, and our researchers interpret what they mean in that specific context.
AIX Design & Experience
AIX Journey Design
We map the customer journey and identify the moments where AI creates real impact: recommendations that increase conversion, triage that reduces wait time, and predictions that anticipate churn. Each touchpoint comes with technical specs, success metrics, and implementation priority.
AIX Design System
We create the patterns and components that define how AI behaves across every product, channel, and team. When the standard exists before the product, every new team starts where the last one left off.
AIX Content System
We create the content that feeds and governs AI: knowledge base, scripts, editorial criteria, and brand voice that ensure that AI communicates with the brand's real identity. What AI knows and how it speaks matter as much as how it was built.
Agent Experience Design
We define who the agent is, how it speaks, and how it acts in each context: tone by channel, vocabulary, boundaries, when it resolves on its own, and when it escalates to a human. Everything validated through field research and user testing before development.
AIX Prototype
We turn the idea into a working product: real code, real deployment, a link to test. Validated with real users before any investment decision.
AI Product Design
We design how AI appears and works inside the product: where the output surfaces on screen, how AI communicates what it did, and what happens when it gets it wrong. Interfaces built for the people who use them, not the people who built them.
Squad AIX
Researchers, designers, strategists, and AI specialists operating inside the company, with context that builds sprint by sprint. Research, design, and implementation in a single cycle by the same team.
AIX Journey Design
We map the customer journey and identify the moments where AI creates real impact: recommendations that increase conversion, triage that reduces wait time, and predictions that anticipate churn. Each touchpoint comes with technical specs, success metrics, and implementation priority.
AIX Design System
We create the patterns and components that define how AI behaves across every product, channel, and team. When the standard exists before the product, every new team starts where the last one left off.
AIX Content System
We create the content that feeds and governs AI: knowledge base, scripts, editorial criteria, and brand voice that ensure that AI communicates with the brand's real identity. What AI knows and how it speaks matter as much as how it was built.
Agent Experience Design
We define who the agent is, how it speaks, and how it acts in each context: tone by channel, vocabulary, boundaries, when it resolves on its own, and when it escalates to a human. Everything validated through field research and user testing before development.
AIX Prototype
We turn the idea into a working product: real code, real deployment, a link to test. Validated with real users before any investment decision.
AI Product Design
We design how AI appears and works inside the product: where the output surfaces on screen, how AI communicates what it did, and what happens when it gets it wrong. Interfaces built for the people who use them, not the people who built them.
Squad AIX
Researchers, designers, strategists, and AI specialists operating inside the company, with context that builds sprint by sprint. Research, design, and implementation in a single cycle by the same team.
AIX Technology
Agent Development
We build and deploy agents in production, including knowledge bases, security rules, integrations with channels, and internal systems. For more complex operations, we design systems of specialized agents that collaborate, with a seamless transition for the end user.
Intelligent Applications
We develop applications with AI at the core, from scratch or as an integration into existing systems. Recommendation, personalization, analysis, and automation from day one, without rebuilding what already works.
Intelligent Automation
We automate internal processes with AI: ticket classification, demand routing, document data extraction, and report generation. Faster and more precise, without disrupting the workflow of the people who operate them.
AI Ops
We monitor and evolve agents and apps in production: quality, costs, and performance are tracked closely. Prompts and knowledge base are adjusted as the business changes, so the investment doesn't degrade over time.
Agent Development
We build and deploy agents in production, including knowledge bases, security rules, integrations with channels, and internal systems. For more complex operations, we design systems of specialized agents that collaborate, with a seamless transition for the end user.
Intelligent Applications
We develop applications with AI at the core, from scratch or as an integration into existing systems. Recommendation, personalization, analysis, and automation from day one, without rebuilding what already works.
Intelligent Automation
We automate internal processes with AI: ticket classification, demand routing, document data extraction, and report generation. Faster and more precise, without disrupting the workflow of the people who operate them.
AI Ops
We monitor and evolve agents and apps in production: quality, costs, and performance are tracked closely. Prompts and knowledge base are adjusted as the business changes, so the investment doesn't degrade over time.
Our AI Principles
Scalability
The brand that sets its compass before scaling with AI ensures that every new product starts where the last one left off. Same criteria, same personality, same standard.
Autonomy with Oversight
Traceable autonomy is what makes operations sustainable. When people know what the agent decides, what it escalates, and who owns each step, speed and control coexist.
Efficiency and Decision-Making
AI finds patterns. Researchers understand what they mean in that specific context. That intersection is what turns analysis into decisions.
Reliable Engineering
What is built with governance from the start lasts. AI in production demands continuous commitment to quality, security and business alignment.
Human Value
Human experiences are measurable data. What people feel, where they get stuck, and what moves them forward shape every product decision. A product built on that criterion gets used, not just delivered.
AI and Human, Integrated
The brand that defines its voice before being automated stays authentic across every channel, with every agent. Identity, tone, and behavior are design criteria, not afterthoughts.
Choose your model
Squad as a Service
Multidisciplinary teams are integrated into your operation to sustain the continuous evolution of digital products with agility, performance, and excellence.
Strategic Outsourcing
Badaró specialists selected with technical curation, allocated to strengthen your team with quality, consistency and operational efficiency.
Custom Projects
Projects conducted with method and analytical depth, turning data and insights into value deliverables throughout the digital product journey.