Specialists in AI Solutions operating in production
Transgenia delivers artificial-intelligence solutions with measured outcomes instead of billed hours: it runs its own AI solutions with observability, governance and cost attribution, the same machinery it deploys for its clients.
What we build
Claude Services for your business
Six capabilities we deploy in production for real clients.
Value Diagnosis
We identify the processes where a Claude solution generates ROI within 90 days. Measurable deliverable, not a promise.
AI Solutions & Workflows
Systems with memory, tools (MCP), and human handoff. Built on Claude models.
Claude + Odoo / Cloud Integration
Claude wired to your ERP, data and channels (incl. WhatsApp) with end-to-end governance and traceability.
Observability & Attribution
Transgenia measures every solution in cost, latency and business value; the metric it promises in the contract is measured first on its own operation.
Responsible AI & Compliance
Guardrails, protected layers and data handling in accordance with LFPDPPP. Responsible enterprise AI on Claude.
Enablement & Training
We enable your team to operate and extend the solution. Transfer of judgment, not dependency.
Methodology
How we work with you
Diagnosis (2–3 wks)
We map your processes and define the expected ROI
Pilot (4–6 wks)
We build and deploy in production with full observability
Scale (ongoing)
We extend, measure and enable your team
Solutions by sector
Interactive demos by sector
Explore a working demo with 100% simulated data. Registration required, free, no commitment.
Healthcare
A follow-up system connected to your ERP: rules per treatment, contact windows, and human approval before every message. Based on a published real case.
View demo →Retail
AI-assisted inventory and replenishment: stockout alerts and purchase suggestions with human review.
Talk to us →Wholesale
A service desk connected to your ERP: tickets, AI-prioritized SLAs, and traceability into sales, projects, and purchasing. Based on a published real case.
View demo →IT
Service desk with AI agents: ticket triage, SLAs, and an auditable end-to-end log.
Talk to us →Names and records inside the demos are synthetic; aggregates come from published real cases.
Operational evidence
Numbers we measure ourselves
Frequently asked questions
What AI solutions does Transgenia build?
We deploy Claude workflows in production: assistants with memory and tools (MCP), process automation, and agents with human handoff, integrated into your operation.
How do you measure the value or ROI of an AI solution?
Transgenia starts with a value diagnosis and measures every solution with observability: cost, latency and business value, with attribution, not just model accuracy.
How soon can I have a working pilot?
We run pilots in 6 weeks, from proof of concept to governed production.
How do you ensure responsible AI and data handling?
With guardrails, protected layers and data handling compliant with Mexico's LFPDPPP; we operate with governed agents and human review.
Does the AI integrate with my Odoo and my channels?
Yes. We wire Claude to your ERP (Odoo), your data and your channels, including WhatsApp, so the AI acts where the work happens.
What are governed AI agents?
A governed AI agent is a software agent that operates with guardrails, human approval (VoBo) before sensitive actions, observability, and cost attribution for every action. Transgenia, an OpenAI Select Partner and Anthropic Registered Partner, implements governed AI agents connected to Odoo through its own MCP, with the same discipline it uses to run its own company.
What signals show AI will pay off here, and what is the fastest proof?
Transgenia validates three signals before starting an AI project: reliable data, a repeatable process, and a business owner. If present, it runs a 2 to 4 week sprint measuring cycle time, error rate, and cost per transaction.
How do we avoid pilot purgatory and move from PoC to production with governance?
From day one, Transgenia defines exit criteria, operational ownership, and change controls. The PoC is approved only if it leaves a production backlog, target architecture, and run plan.
How do you define security and data boundaries (PII, IP) for AI integrations?
Transgenia segments data by sensitivity, minimizes PII, and enforces role-based access. Every AI integration includes traceability, encryption, and audit controls to reduce legal and operational exposure.
How do we measure ROI beyond model accuracy?
Transgenia tracks business KPIs: cycle time, unit cost, error rate, rework, and throughput. Accuracy matters only if it moves a financial or operational metric.
What is the minimum data foundation before building models?
Before building models, Transgenia requires a source inventory, a critical-field dictionary, and basic quality rules. If missing, it first builds a minimal data-governance layer before training.