Multi-tenant platforms, agents with approval governance, RAG in production, WebVR, and custom integrations with WhatsApp Business API and Google Calendar. Architecture, data, and infrastructure. I come from running the commercial side — which is why I build what moves revenue, not what demos well.





— Is Your Company Ready? —
The rise of AI is not just a trend — it is a seismic shift redefining entire industries. Experts predict that up to 40% of businesses could fail in the next decade if they do not adopt AI-driven strategies. Traditional methods that once drove success are rapidly becoming obsolete, and those who resist change run a serious risk of falling into irrelevance.
These are the reasons an AI project stalls at pilot. None of them is solved by buying another tool.
“We have the data, but it lives in different systems and nobody agrees on which number is the right one.”
“We bought AI tools and they still are not connected to the processes that actually run the business.”
“Every new integration depends on one specific person, and when they are away, everything stops.”
“We ran a pilot that worked in the demo, but we never figured out how to take it to production.”
“Nobody will approve an automated system acting on its own because we cannot audit what it did.”
“The team moves information by hand between platforms, consuming hours that should belong to the business.”
“We get development quotes, but we have no way to judge whether the proposed architecture is the right one.”
“If the vendor leaves, we are left with neither the knowledge nor the ability to maintain what they built.”
Ulises De la Cruz has over 15 years of professional experience leading operations and growth strategy across the SaaS and EdTech sectors. In his executive career he served as CEO of Universidad Da Vinci and as Head of Growth LATAM at Growth Institute.
He is Founder and CEO of XFactor Academy, a multi-tenant AI-native LMS platform whose architecture, data, and infrastructure he designed and built end to end: AI course generation, WebVR scenarios, agents with approval governance, and custom WhatsApp Business API and Google Calendar integrations.
He is an active participant in the global innovation ecosystem: a mentor to technology startups at Lablab.ai (Sweden) and Unknown Group (Netherlands), with participation in international programs such as NEXT AI (Canada) and the Constructor University accelerator (Germany). Academically, he teaches applied artificial intelligence and business at TEP Institute and Escuela Bancaria y Comercial.
He is a graduate of the Lingnan College International MBA in collaboration with MIT Sloan and holds a Master of Energy Management from ITESM. His executive career explains why he builds systems connected to revenue and operations, not just technical demonstrations.
These capabilities already exist in production or active operations. They are the technical base on which I am expanding my commercial practice into AI architecture and cloud systems.
I design agent loops where scouting, proposal generation, and human approval live inside the same workflow before any commercial action is executed.
I build products where multiple clients and users operate on the same platform without sacrificing experience or operational control.
I orchestrate workflows that turn expert inputs into reusable video, voice, and learning assets ready to operate at scale.
I design the interface, logic, data, integrations, and deployment layer so marketing, sales, and operations can run on one connected foundation.
A 3-minute walkthrough of the platform: AI course generation, WebVR scenarios, and the agent engine in operation.
Four areas of expertise, one goal: growing your company with solid processes, practical architecture, and technology that actually works in production.
Diagnosis and optimization of your full commercial process: from lead generation to closing and retention.
I build AI solutions and cloud systems applied to real business problems. Not demos — tools that get used and operations that depend on them.
Practical training programs in sales, digital marketing, and AI for commercial teams.
Conferences and talks on AI, sales, digital transformation, and the future of work. Bilingual Spanish/English.
Most consultants recommend. I recommend and build. This approach ensures solutions get implemented, not left in a PowerPoint.
Review stack, data, integrations and critical flows before proposing anything. You leave with a prioritized map of what to keep, redesign or build.
Target architecture, data model, integration plan and a phased build plan with estimates. This is where the build tier gets chosen.
Build the system and take it to production: data, integrations, infrastructure and deployment. With a 60-day warranty and 30 days of hypercare.
Documentation, handover and support until your team can run and evolve the system without me. That is the goal.
AI Lions and the rest of the catalogue are delivered and managed on XFactor Academy — enrolment, payment and progress in one place. I teach; the platform handles the rest.
View programs on XFactor AcademyOne ladder: diagnose, design, build, transfer. Each rung decides whether the next one is worth taking.
Entry is the Architecture Review — $3,500 USD, one day with a prioritized technical map. Rungs 3 and 4 are scoped to the engagement.
I share practical experience and knowledge at events, podcasts, and media. Available in Spanish and English.
Assess 6 dimensions — data, integrations, infrastructure, use cases, governance, and team capability — in 7 minutes. Receive a technical report with your blind spots and which rung to start on.
Not projections or third-party case studies: this is what is running today, and you can review it with me live.
API routes and edge functions serving real traffic. A multi-tenant LMS, a coworking operation and this consultancy run on the same architecture: three different domains, not the same product three times.
Multi-tenant isolation enforced in the database, not in application code. It is the difference between one client not seeing the data of another by design, or by luck.
Workflows with retries, alerting and cost control — plus 14 integrations built against the provider API, not bought as connectors.
The training experience with Ulises was exceptional. He managed to transform our commercial team's mindset with practical AI tools and processes that were actually implemented. His hybrid approach of consulting and technology building made all the difference.
Working with Ulises was a radical change for our commercial team. He implemented clear processes, trained the team, and left us with tools that still work. A consultant who truly delivers results.

It depends on the rung. The Architecture Review delivers a prioritized technical map the same day. The Systems Blueprint delivers architecture, data model and a phased build plan in 3 weeks. The Build Sprint puts the system in production in 12 weeks, with a 60-day warranty and 30 days of hypercare. What we do not do: deliverables nobody implements. Every engagement ends with specific actions, owners, and dates.
The real question is what it costs you NOT to fix it. Compare it against the team you would otherwise hire — an architect, backend, data engineer, DevOps and frontend are four to six salaries and roughly three months of recruiting before the first line of code. That is why I do not bill hourly: I do not deliver hours, I deliver the output of that team. Start with the Architecture Review ($3,500 USD) and decide with a technical map in hand.
I understand the skepticism — it's legitimate. The difference: I build what I recommend. If the diagnosis says "you need to automate lead follow-up," I set up the flow in HubSpot or n8n. If it says "you need a qualification chatbot," I develop it. Oscar Del Moral (CGO, TEP Institute): "He implemented clear processes, trained the team, and left us with tools that still work." That's not a PowerPoint — it's infrastructure that gets used.
I have built AI systems in EdTech, B2B SaaS, professional services, construction, healthcare and manufacturing — in Mexico, Spain, the US and Europe. What rarely fails is the model: what fails is the data, the integration, and that nobody defined who runs the system the following Monday. The free diagnostic tells you in 7 minutes whether your architecture holds up for what you want to build.
Adoption isn't optional in my projects — it's part of the deliverable. The process includes hands-on team training, usable documentation (not 80-page manuals), and real knowledge transfer. If the team doesn't use it, I didn't deliver. That's why I don't charge for abandoned systems: every engagement includes follow-up sessions to ensure what was implemented becomes operational habit.
Most of my clients are B2B SMEs with teams of 5-50 people. They benefit the most: they have the real pain but not the budget for a full-time CRO ($8,000-15,000 USD/month). The fractional model solves that. I also work with corporations that need implementation speed — and with larger organizations like TEP Institute or international acceleration programs.
It's a real call — not a disguised sales pitch. In 30 minutes: (1) I review your diagnostic results (if you took it) or we map your current operation. (2) I identify the 2-3 highest-friction points in your pipeline or process. (3) I give you specific recommendations you can implement immediately, whether you hire me or not. If there's a fit and you want to continue, we discuss options. If there's no fit, I'll tell you honestly.
Yes, with clear terms per rung. Architecture Review ($3,500): if by the end of the day you do not have an actionable map, full refund. Systems Blueprint (from $16,000): 50% upfront and 50% on delivery; if the document lacks architecture, an integration plan and per-phase estimates, the balance is not charged. Build Sprint: 60-day warranty on what was delivered plus 30 days of hypercare, with formal written change control. Fractional Architect: 3-month minimum, then cancel with 30 days notice.
AI Lions has a 30-day satisfaction guarantee. If after completing the first 2 modules your team doesn't see clear, actionable value, we refund 100% — no complicated process. The process: contact im@ulisesdelacruz.io with the reason, and we process the refund within 3-5 business days. This guarantee exists because we trust the program and the results it generates. 95%+ of teams finish the program and request additional modules.
Whether you have a clear project or just want to explore options, I'm available for a no-commitment conversation.