-
Technology
-
Industry
-
Solutions
-
- ASSET MANAGEMENT
- AUGMENTED & VIRTUAL REALITY
- COLLABORATION
- CONVERSATIONAL
- CUSTOMER EXPERIENCE MANAGEMENT
- CUSTOMER RELATIONSHIP MANAGEMENT
- CYBER SECURITY
- DATA CENTER
- DIGITAL CUSTOMER EXPERIENCE
- DOCUMENT MANAGEMENT
- EHS SOFTWARE
- ELECTRONIC DATA INTERCHANGE
- ENTERPRISE DATA MANAGEMENT
- ENTERPRISE DATA QUALITY MONITORING
- ENTERPRISE RESOURCE PLANNING
- ENTERPRISE RISK MANAGEMENT
- ENTERPRISE-GRADE WEB DATA SOLUTIONS
- FACILITY MANAGEMENT
- FIELD SERVICE
- GAMIFICATION
- IDENTITY AND ACCESS MANAGEMENT
- INFRASTRUCTURE
- IT SERVICE MANAGEMENT
- MANAGED IT SERVICES
- PAYMENT AND CARD
- PROJECT MANAGEMENT
- SOFTWARE TESTING
- STORAGE
- VIDEO SOLUTIONS
- WORKFLOW
-
-
Platforms
-
Functions
- Leadership Perspectives
- Innovation Insights
- Research
- Magazines
- News
- CXO Awards
Alex Urbina, CEO and FounderAcross Latin America, enterprises face a defining challenge: turning AI investments into operational results. Most are caught between rigid global platforms and disconnected AI tools that fail to integrate into daily operations. Solutions from global providers overlook regional realities, the continued reliance on SAP Business One, the cultural need for sequential trust before adopting new technology, and the shortage of technical talent to sustain AI at scale.
"We built Treyee around a simple insight: enterprises don't fail at AI because of technology; they fail because no one offers the complete cycle," says Alex Urbina, CEO and founder. "You need visibility to generate demand, intelligent automation to handle what comes next, and the right people inside your team to make it work. That's exactly what we deliver."
The first pillar is creative AI, Treyee's social digital marketing engine. In a region where buyers first discover brands on Instagram and WhatsApp, enterprises struggle to convert digital presence into qualified leads. Treyee's Creative AI generates data-driven, personalized content at scale and campaigns engineered to convert, not just look good. Clients using AI-powered social content see 40 percent more inbound enquiries and save five to ten hours weekly on production, freeing marketing teams to focus on strategy.
How does Treyee’s AI ecosystem integrate automation directly into enterprise workflows?
The second pillar is the Treyee AI ecosystem, its interconnected product platform. Its three-tier architecture—Professional, Enterprise, and Platform—enables businesses to adopt AI incrementally, building confidence before scaling. The AI Portal centralizes interactions from WhatsApp, Instagram, web chat, and voice calls into a single intelligent stream. The Workflow Center closes ERP-adjacent process gaps. The AI Assistant Suite—covering sales, service, and support—validates inventory, schedules, and processes orders directly from live SAP Business One and SAP HANA data, eliminating spreadsheet workarounds and reducing repetitive queries by 80–90 percent.
Enterprises don't fail at AI because of technology; they fail because no one offers the complete cycle: visibility to generate demand, automation to handle operations, and the right people on your team. That's what Treyee delivers.
What measurable operational improvements emerge when agentic assistants automate enterprise service workflows?
These aren't static chatbots. Treyee's agentic assistants embed directly into enterprise workflows, making autonomous decisions within defined parameters. For Inforum, a Central American enterprise struggling with manual ticket routing, the intelligent agent reduced Zendesk assignment time by 95 percent and improved first-contact resolution by 45 percent. For Dingo, the ecosystem processed over 2,800 customer interactions, achieving an 11 percent purchase confirmation rate while cutting response times by 90 percent. With native SAP connectors—critical where nearly 80 percent of the market runs on SAP Business One—it meets companies exactly where they operate.
Why is embedded engineering talent critical for sustaining enterprise AI adoption at scale?
The third pillar is deployed engineers, specialized technical talent embedded within client organizations. Treyee started as an IT consultancy, and that DNA runs deep. Its engineers bring hands-on expertise in DevOps, multi-cloud architectures, AI integration, and systems engineering—skills that built its AI ecosystem product from the ground up. Rather than traditional outsourcing, these professionals operate as extensions of the client's own team, managing infrastructure, integrating systems, and scaling AI beyond pilot projects. With engineers already deployed in Panama, Spain, and Belize, Treyee closes the talent gap the World Economic Forum identifies as the top barrier to AI success.
This three-pillar model reflects the strategic vision Urbina set in motion when he founded Treyee in Panama in 2023. The company partners with SAP, Zendesk, and PropTech Latam as a gold sponsor and is a member of the Linux Foundation and Cloud Native Computing Foundation. Its recognition as CIO Review's Top Digital Transformation Solution Provider, alongside its technology innovator award and best cloud-native product developer designation, validates the approach. As Leo Milián, CFO and Co-Founder, articulated at the Real Estate Innovation Latam summit in Guatemala, “The value proposition extends beyond any single product into a complete growth cycle—visibility, automation, and the technical team to sustain it.”
With over 800 companies in its Central American pipeline and a regional AI market projected to reach $30.2 billion by 2033, the timing is right. Treyee is not selling a tool or a single product. Under Urbina's leadership, it is delivering the complete creative, operational, and human infrastructure that Latin American enterprises need to effectively implement AI.
Turning Enterprise AI Ambition into Business Results
Enterprise leaders pursuing digital transformation face a widening gap between ambition and measurable business impact. Investments in AI often stall once deployed, not because the tools lack sophistication, but because they fail to integrate with the systems that already run the business. Data remains fragmented across ERP platforms, customer channels and internal workflows, forcing teams to duplicate effort and rely on manual workarounds. In enterprise AI environments, progress depends less on experimentation and more on disciplined integration that produces visible gains in speed, accuracy and confidence.
A credible digital transformation solution must align with how enterprises actually operate rather than how technology vendors wish they would. Many organizations continue to rely on established platforms such as SAP Business One, Zendesk or similar enterprise systems that carry years of institutional knowledge. When new AI layers ignore those realities, adoption slows and trust erodes. Executives increasingly look for solutions that embed intelligence directly into existing workflows, allowing employees to access live business data, respond to customers faster and reduce internal friction without replatforming core systems.
Another defining expectation centers on scalability without disruption. Transformation rarely succeeds through abrupt overhauls. Enterprises tend to progress incrementally, validating value in narrow use cases before expanding automation across departments. Solutions that support this progression help organizations build internal confidence while preserving continuity. Flexibility in deployment also matters. In regions and industries where data control and compliance are non-negotiable, the ability to deploy on-premise or within tightly governed environments often determines whether AI initiatives move beyond pilot stages.
Within this context, Treyee stands out for its pragmatic approach to enterprise AI adoption. Its digital transformation offering focuses on closing the gap between AI intent and day-to-day results by embedding intelligence natively into business systems. Rather than positioning AI as an abstract layer, it integrates assistants and automation directly into operational environments, including SAP Business One and Zendesk, enabling teams to work with real-time inventory, pricing, ticketing and customer data. This reduces repetitive inquiries, shortens response cycles and allows employees to concentrate on higher-value decisions.
Treyee’s tiered architecture supports gradual adoption, enabling organizations to start with focused AI assistance and expand into broader automation as confidence grows. Its centralized AI portal unifies customer interactions across messaging and web channels, while workflow automation tools translate unstructured requests into structured actions. Security and data sovereignty remain integral, with deployment models that accommodate enterprises requiring full control over sensitive information. These choices reflect an understanding of regional enterprise realities rather than generic global assumptions.
For executives evaluating digital transformation partners in enterprise AI, Treyee represents a disciplined choice. It prioritizes integration over novelty, progression over disruption and control over abstraction. By delivering AI that works within existing systems and governance models, it offers a credible path from experimentation to sustained business impact. Its emphasis on practical deployment timelines further reduces risk for leadership teams accountable for outcomes, budgets and organizational trust during complex transformation initiatives across enterprise functions globally....Read more
Company
Treyee
Management
Alex Urbina, CEO and Founder
Description
Treyee develops AI-driven solutions for Latin American enterprises. Its applications are built keeping in mind the regional realities and requirements. Through a thoughtful, outcome-based AI ecosystem, it empowers organizations to embed intelligence into everyday operations.
