AguilarTech finds what to automate in your business, then builds it. Custom AI agents, workflow automation, and data pipelines — delivered fast, without the consulting theatre.
Most consultancies hand you software. We embed with your teams and engineer systems that actually get used — because we understand the operational reality before we write a single line of code.
We conduct deep workflow discovery to understand how work actually happens — mapping real bottlenecks before any architecture begins. No assumptions. No cookie-cutter solutions.
We bypass lengthy development lifecycles. Utilising modern AI and agentic coding paradigms, we rapidly prototype functional, production-ready solutions that prove ROI in days — not months.
With 15+ years spanning executive strategy and hands-on engineering, we translate high-level organisational goals into actionable technical architecture and measurable outcomes.
From workflow discovery through to autonomous agent deployment and enterprise data ecosystems — AguilarTech covers the full technical stack, end to end.
Get a Free AI AuditApplying Lean methodologies, we map your As-Is versus To-Be process architectures — identifying true bottlenecks and preparing your operations for automation readiness.
We deploy autonomous AI agents to handle complex, unstructured business processes and build lightweight custom API workflows inside the platforms your team already uses.
Establishing governed data foundations using Advanced SQL and modern ETL/ELT pipelines — delivering automated, real-time reporting ecosystems for executive visibility.
We embed with your teams to co-create reusable AI assets, coach non-technical stakeholders, and architect the governance frameworks for compliant AI adoption at scale.
Successful AI adoption doesn't start with tools — it starts with strategy. AguilarTech applies a top-down and bottom-up approach: leadership sets the vision, your teams closest to the work surface the best ideas. Both have to move together.
Leadership defines where gen AI can drive the most impact — focusing on high-value, feasible use cases first. Strategy before technology. Business outcomes before tool selection.
The best AI ideas often come from the people closest to the problem. Create space for teams to experiment, share what works, and bring ground-level insights back into the broader strategy.
Ethical guidelines, data governance, and Human-in-the-Loop design aren't bolted on at the end — they're built in from the start. Responsible AI is a competitive advantage, not a compliance checkbox.
Set clear KPIs before you build. Track real-world performance. Refine based on feedback. Sustainable AI adoption is a continuous improvement cycle — not a project with a go-live date.
Concrete deliverables across finance, telehealth, and cross-departmental operations. Every project starts with operational discovery and ends with measurable impact.
A highly manual, error-prone payment processing system for clinical and telehealth support teams — creating bottlenecks and poor financial visibility across the organisation.
Built a fully automated API workflow utilising Google AppScript, custom SQL, and cloud functions to process unstructured financial data end-to-end without manual intervention.
Cross-departmental operational friction requiring constant manual data handling across Procurement and Finance — creating delays, errors, and staff capacity constraints.
Architected secure system integrations and deployed data-driven autonomous AI agents to streamline complex workflows — with Human-in-the-Loop governance at critical decision points.
Disparate schemas and siloed, un-governed data causing poor executive visibility — no single source of truth, no reliable KPI tracking, and delayed strategic decision-making.
Designed a Product Lifecycle Status framework and engineered comprehensive data pipelines using Advanced SQL (BigQuery) and Power BI — standardising enterprise architecture.
Critical operational data locked in dead, local files — inaccessible to distributed teams, prone to version conflicts, and impossible to maintain at organisational scale.
Rapid prototyping of internal web applications and PWAs using Vue.js and Python to migrate legacy local tooling into live, cloud-based collaborative platforms.
Explore more of what we've built
"Any manually repetitive computer task can — and should — be automated."
I am a Senior Technical Business Analyst and AI Automation Architect with over 15 years of cross-industry experience. My competitive advantage is a rare hybrid skill set that most consultancies simply can't offer.
I bring operational empathy to understand your real business pain points — the way work actually happens, not how it's documented — combined with the deep technical capability to engineer cloud-based systems and AI integrations that solve them.
This hybrid means I'm a single point of contact bridging executive strategy and hands-on technical execution. No translation loss. No lengthy requirements cycles. Just rapid prototyping of solutions that work.
Most businesses know they should be using AI and automation — but don't know where to start. We audit your business and send you a detailed report showing exactly which processes are costing you the most time and what we'd do about it.
Tell us about your business, your team size, the tools you currently use, and where you feel the most friction. Takes around 5 minutes.
Using 15+ years of operational and technical experience, We analyse your workflows and identifies the highest-value AI automation opportunities specific to your business.
Within a few business days you get a written report — yours to keep. No obligation. If you want us to build it, great. If not, the insights are still valuable.