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AI Solutions Architect | Full-Stack Cloud | Founder of XFactor Academy

I don't just advise on technologyI build it.

I design and build the AI systems other consultancies only document — and I still run them.

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.

COMPANIES I HAVE WORKED WITH

Most AI projects do not die because of the model

— 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.

88%
of AI pilots never reach production — not because of the model, but because of data, integrations and governance (CIO / MIT NANDA)
60%
of projects without AI-ready data will be abandoned through 2026 (Gartner)
61%
were approved on projected ROI that was never measured after launch (MIT Sloan)

Do you recognize any of these blockers?

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.

The architect who builds

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.

Ulises De la Cruz

Credentials & education

MITMITInternational MBA — Joint program
Lingnan (University) CollegeLingnan (University) CollegeSun Yat-Sen University
Tec de MonterreyTec de MonterreyMaster in Energy Management
Lablab.aiLablab.aiGlobal Mentor
Next AINext AIAI Program
TEP InstituteTEP InstituteProfessor & Mentor

Technical proof, not just positioning

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.

Multi-agent orchestration with governed approvals

I design agent loops where scouting, proposal generation, and human approval live inside the same workflow before any commercial action is executed.

An agent engine with an approval queue, per-run spend cap and an event log. It runs today inside the internal sales console.

Multi-tenant SaaS architecture

I build products where multiple clients and users operate on the same platform without sacrificing experience or operational control.

XFactor Academy: a multi-tenant LMS with source-grounded RAG, in-browser WebVR scenarios and per-organisation isolation. Architecture, data and infrastructure, end to end.

AI content generation pipelines

I orchestrate workflows that turn expert inputs into reusable video, voice, and learning assets ready to operate at scale.

A content pipeline scripted by an LLM with synthetic voice and video rendering, including retries and per-asset cost control.

Full-stack cloud systems on Next.js, Supabase, and Vercel

I design the interface, logic, data, integrations, and deployment layer so marketing, sales, and operations can run on one connected foundation.

A scheduler built on the Google Calendar API, WhatsApp Business Cloud API with per-number routing, and VAPID push — integrations built, not off-the-shelf connectors.

See the system running

A 3-minute walkthrough of the platform: AI course generation, WebVR scenarios, and the agent engine in operation.

Also on YouTube

What I can do for your business

Four areas of expertise, one goal: growing your company with solid processes, practical architecture, and technology that actually works in production.

Revenue Operations

Diagnosis and optimization of your full commercial process: from lead generation to closing and retention.

  • Pipeline design and sales processes
  • CRM implementation and automation
  • KPIs and commercial dashboards
  • Pricing strategy and value proposition

AI, Architecture & Automation

I build AI solutions and cloud systems applied to real business problems. Not demos — tools that get used and operations that depend on them.

  • Chatbots and assistants with generative AI
  • Operational workflow automation
  • Full-stack architecture, APIs, and LMS platforms
  • Data, observability, and smart reporting

Corporate Training

Practical training programs in sales, digital marketing, and AI for commercial teams.

  • Consultative selling and advanced B2B
  • Digital marketing and demand generation
  • AI applied to sales and productivity
  • In-person, online, or hybrid workshops

Speaker & Keynotes

Conferences and talks on AI, sales, digital transformation, and the future of work. Bilingual Spanish/English.

  • Conference & event speaking
  • Podcast & media appearances
  • Customized keynotes for your industry
  • Panels and roundtables

What makes this different

Most consultants recommend. I recommend and build. This approach ensures solutions get implemented, not left in a PowerPoint.

1

Diagnose

Review stack, data, integrations and critical flows before proposing anything. You leave with a prioritized map of what to keep, redesign or build.

2

Design

Target architecture, data model, integration plan and a phased build plan with estimates. This is where the build tier gets chosen.

3

Build

Build the system and take it to production: data, integrations, infrastructure and deployment. With a 60-day warranty and 30 days of hypercare.

4

Transfer

Documentation, handover and support until your team can run and evolve the system without me. That is the goal.

Training programs live on XFactor Academy

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 Academy

Consulting packages

One ladder: diagnose, design, build, transfer. Each rung decides whether the next one is worth taking.

1
Architecture Review
Diagnose · 1 day
2
Systems Blueprint
Design · 3 weeks
3
Build Sprint
Build · 12 weeks
4
Fractional AI Architect
Transfer · 3-month minimum

Entry is the Architecture Review — $3,500 USD, one day with a prioritized technical map. Rungs 3 and 4 are scoped to the engagement.

Talks & appearances

I share practical experience and knowledge at events, podcasts, and media. Available in Spanish and English.

AI and the future of sales
Revenue operations for growth
Digital transformation in LATAM
Building AI-powered products
AI agents in production: from demo to operating system
Why AI projects fail before a line of code is written

Shoten Show

Pathmonk Presents

Where does your business actually stand?

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.

Data
Integrations
Training & Capabilities
Technology & CRM
AI Maturity
Automation & Data
Start free diagnostic~7 minutes · 30 questions · Personalized technical report
Structure & Methodology?%
Strategy & Operations?%
Training & Capabilities?%
Technology & CRM?%
AI Maturity?%
Automation & Data?%

The scale of system I operate

Not projections or third-party case studies: this is what is running today, and you can review it with me live.

838

Endpoints in production

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.

850

Row-level security policies

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.

113

Automations in operation

Workflows with retries, alerting and cost control — plus 14 integrations built against the provider API, not bought as connectors.

From those who've seen it firsthand

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.

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Ulises De la Cruz

Ulises De la Cruz

AI Solutions Architect | Full-Stack Cloud | Founder of XFactor Academy

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Frequently asked questions

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.

Ready to find out what can be built on what you already have?

Start with the free 7-minute diagnostic, or book an Architecture Review directly. Either way you leave with a technical map, not a sales proposal.

Let's talk

Whether you have a clear project or just want to explore options, I'm available for a no-commitment conversation.