The roadmap changes every week and nobody trusts the priorities.
I help turn shifting demands into a sequence the team can actually execute, with tradeoffs made explicit.
For digital companies with an existing tech team
Fractional CTO to align technology, execution, and business
Senior technology leadership, without hiring a full-time CTO.
I’m Francisco Leon. I work with companies that already have developers, product people, or vendors, but need a stronger technical voice to set priorities, execute with more focus, and adopt AI without creating more operational noise.
- Clearer technical decisions with stronger ownership.
- A more focused roadmap with less friction across teams.
- AI grounded in concrete initiatives, not scattered experiments.
30 minutes. We review your roadmap, architecture, team, and AI priorities. You leave with three concrete next steps even if we do not work together.
What I solve
If this is what your team is dealing with, this is where I help.
The issue is rarely a lack of effort. It is usually unclear prioritization, weak technical ownership, or too many decisions without a strong operating system behind them.
The team is busy, but releases still feel slower and riskier than they should.
I identify where architecture, process, or ownership is slowing down delivery and remove the bottlenecks.
You have developers or vendors, but no strong technical leadership tying decisions together.
I step in to align product, engineering, vendors, and business priorities without the cost of a full-time CTO.
The business wants to use AI, but there is no clear ownership, criteria, or implementation path.
I help identify where AI creates real leverage and how to adopt it with data, security, and execution discipline.
How I work
Three ways to work together, depending on urgency and scope.
The right engagement depends on whether you need sharper decisions, ongoing leadership, or a focused intervention around AI adoption.
CTO Advisory
For founders or operators who need senior judgment without adding a full operating layer.
- When it applies: the team can execute, but technical decisions need sharper judgment.
- What it includes: strategic sessions to review roadmap, architecture, vendors, and tradeoffs.
- What you leave with: clearer decisions, visible risks, and concrete next steps.
Fractional CTO
Ongoing leadership for companies that need senior technical direction inside the operating rhythm.
- When it applies: technology is already critical, but a full-time CTO does not make sense yet.
- What it includes: direction across roadmap, architecture, team, vendors, delivery, and prioritization.
- What you leave with: stronger focus, technical ownership, and a more predictable operation.
AI Adoption Sprint
A short sprint to turn AI pressure into decisions, use cases, and a realistic implementation plan.
- When it applies: there is pressure to “do something with AI”, but no coherent plan.
- What it includes: use case map, risks, tools, governance, and rollout priorities.
- What you leave with: a practical AI roadmap with prioritized initiatives and clear owners.
When this is a fit
This works best when the business is already moving and technology is becoming the constraint.
The strongest fit is a founder-led SaaS or digital business with an existing technical team that needs leadership, not more random execution.
Founder-led SaaS with an existing team
You already have developers or vendors, but priorities, architecture, and delivery still depend too much on ad hoc decisions.
Digital businesses where operations depend on software
Technology is already central to growth, support, reporting, or internal workflows, and weak technical leadership is starting to cost time or confidence.
Teams under pressure to introduce AI responsibly
You want real AI adoption, not scattered experiments, and need someone to connect use cases, governance, delivery, and business priorities.
Not the right fit if you only need extra coding hours
I do not replace a dev agency or body-shop model. I work where better leadership and decision-making create more leverage than more tickets closed.
Proof and context
What I typically help teams improve.
I do not sell disconnected strategy decks. I work close to roadmap, architecture, delivery, and business decisions.
AWS and scalable SaaS architectures
Data-intensive systems and ETL
Cybersecurity, privacy, and governance
AI adoption with practical operating criteria
Integrated data from more than 20 institutions into one operating platform.
Built stronger traceability, control, and delivery practices in a sensitive environment where reliability and data quality mattered every day.
Result: more dependable operations and a stronger foundation for scaling product delivery.
Improved delivery speed by 30% through better engineering practices.
Introduced clearer workflows, DevOps discipline, and CI/CD habits so the team could ship with less friction and more predictability.
Result: faster delivery without adding unnecessary complexity.
Helped teams move from vague AI pressure to concrete use cases.
Prioritized where AI can actually improve support, internal workflows, reporting, and executive decision-making without turning into disconnected pilots.
Result: clearer adoption path, better governance, and less wasted experimentation.
How I work: I do not sell development hours or abstract strategy. I take ownership of decisions, prioritization, and execution with the team you already have.
FAQ
The questions buyers usually ask before bringing in a fractional CTO.
Why fractional CTO instead of hiring a full-time CTO immediately?
Because many companies need stronger technical leadership before they need a full-time executive seat. A fractional model gives you senior decision-making, roadmap ownership, and execution discipline without committing too early to a full-time structure.
How do you work with an existing team or vendors?
I work with the team already in place. The goal is not to replace them, but to give them clearer priorities, stronger technical direction, better operating rhythms, and less decision ambiguity.
What changes in the first 30, 60, and 90 days?
The first 30 days usually clarify priorities and technical risks. By 60 days there is usually stronger delivery rhythm and cleaner ownership. By 90 days the roadmap, execution model, and AI priorities should feel meaningfully more coherent.
How do you approach AI without turning it into scattered experimentation?
By forcing clarity around business value, data constraints, governance, ownership, and implementation sequence. The point is not to “add AI”, but to apply it where it improves delivery, support, workflows, or decision quality.
When are you not the right fit?
If you only need extra coding capacity, or if the business is still too early to benefit from technical leadership structure, a fractional CTO is usually not the right first move.
Next step
If you already have a tech team but need more clarity, better execution, and a more grounded approach to AI, let’s talk.
In the first call we review your context and define whether ongoing Fractional CTO support or an AI Adoption Sprint is the right next step. If there is no fit, I will tell you clearly.
No obligation. Useful even if we do not end up working together.
LinkedIn
Based in Santiago, working across Chile, LATAM, and remote engagements.