Alejandro Zakzuk
CEO
DECISION FOCUS
Business direction & decision clarity
CONTRIBUTION
Connects the business constraint, strategic direction, and investment decision before execution.
LEADERSHIP
Better execution starts with better decisions.
Soluntech's leadership team helps connect business context, product judgment, engineering discipline, and operational reality before and during execution.
The goal is not to eliminate uncertainty. It is to make important assumptions, tradeoffs, and risks visible early enough to act on them.
Execution amplifies the decisions that come before it.
Strong engineering matters. So does the direction engineering is given.
A system can be well built and still solve the wrong problem, fit the workflow poorly, or become difficult to evolve.
Leadership accountability at Soluntech is about helping teams surface those risks early and keeping the business decision connected to execution.
ACCOUNTABILITY
Make the important decisions visible.
01
Solve the right problem
Clarify the business constraint before committing to a technical answer.
02
Ensure workflow fit
Understand how the system will operate in real conditions, not only how it should work in theory.
03
Design for evolution
Consider what may need to change as the business, evidence, and operating conditions evolve.
04
Reduce avoidable risk
Surface assumptions, dependencies, and tradeoffs before they become expensive to reverse.
PRIMARY CONTEXT
Core Leadership.
Connect business direction, operating reality, and organizational context to the decisions that shape execution.
Fernando Llinas
COO
DECISION FOCUS
Operational feasibility & execution alignment
CONTRIBUTION
Connects strategic direction with operating constraints, delivery capacity, and execution reality.
Mariana Veron
Head of Human Resources
DECISION FOCUS
Organizational context & team alignment
CONTRIBUTION
Brings team structure, responsibilities, and organizational conditions into decisions that depend on people to succeed.
SYSTEMS & TECHNOLOGY
Systems & Technology.
Bring engineering, product, AI, infrastructure, and quality perspectives into the decisions that determine how a system should work.
Santiago Blanco
Head of AI Engineering
DECISION FOCUS
AI system judgment
CONTRIBUTION
Evaluates where AI meaningfully improves system behavior, automation, learning, or decision support—and where it does not.
DECISION FOCUS
Workflow & user fit
CONTRIBUTION
Connects system decisions with the workflows, behaviors, and conditions experienced by the people who will use them.
DECISION FOCUS
Reliability & operational architecture
CONTRIBUTION
Brings deployment, infrastructure, observability, and operating constraints into architecture decisions.
DECISION FOCUS
Quality & risk visibility
CONTRIBUTION
Makes failure conditions, acceptance criteria, and quality risks visible before they reach real-world operation.
DECISION REVIEW
Review consequential decisions before they become expensive.
Before significant execution commitments are made, the relevant leaders should help examine the problem, assumptions, workflow, constraints, and evidence appropriate to their area of responsibility.
The objective is not to guarantee the right answer. It is to improve decision quality and expose material risks while there is still room to change direction.
DECISION REVIEW
A consequential decision becomes easier to evaluate when the problem, evidence, tradeoffs, and execution conditions are visible together.
01 / PROBLEM
What constraint are we actually solving?
02 / EVIDENCE
What do we know, and what are we still assuming?
03 / TRADEOFFS
What are we committing to—and what does that choice make harder?
04 / EXECUTION
What must remain true as the system is built and operated?
Protect the quality of the decision through execution.
Clarity
Keep the original business constraint visible as implementation choices are made.
Alignment
Make tradeoffs and responsibilities explicit across disciplines.
Reliability
Test the system against the conditions in which it will actually operate.
Adaptability
Avoid unnecessary decisions that make future evolution harder.
Learning
Use evidence from execution and real-world operation to improve what comes next.
Start with the decision that matters.
Bring the business constraint, system problem, or opportunity. We can help make the assumptions and risks visible before deciding what should happen next.