I take you from the problem to a working solution: business analysis first, then AI agents, automation and real-time reporting that remove manual work. End to end, from first workshop to measured results, for manufacturing, energy and health organisations in New Zealand.
Luis Silva, New Plymouth, New Zealand. 20+ years inside Powerco, Taranaki DHB, Methanex and Winstone Pulp, and builder of the AI products Semantic Robot and AIGuardU. I have done these roles for real. I am not learning your business on your budget.
Remote-first, on-site when it matters. No junior staff, no subcontractors, no overhead. You get a senior practitioner from day one.
Half of New Zealand business leaders name AI as their biggest technology opportunity, yet many organisations are still stuck in trials (Datacom, 2026). Closing that gap takes someone who has shipped AI into the real world.
A semantic monitoring engine I built at eimprovers, licensed by parental control apps including FaceAlert. AI that understands meaning, running in commercial products.
Founder. Real-time sentiment and concern analysis of children's AI conversations, designed privacy-first: content is analysed and discarded immediately, never stored.
AI agents, LLM apps and RAG built with modern AI-assisted engineering, so you see a working solution quickly, then a hardened one your team can rely on.
One senior person accountable from the first workshop to measured results. No handoffs between analyst, architect and developer, so nothing gets lost in translation. Engage me for the whole journey, or for any single stage.
Business analysis first: stakeholder workshops, current-state process mapping and the real problem behind the request.
Size the prize: what the current way of working costs, options compared, and ROI in terms a board can approve.
Requirements, data and solution design, choosing the right answer independently: AI, automation, reporting or simply a better process.
Hands-on delivery of AI agents, automation, Power BI and integrations, using AI-assisted engineering to show working results early.
Change support, training, documentation and handover, so your people actually use it and can run it.
Track the benefits against the business case and improve whatever is not delivering.
Not what I know in theory. What I have delivered inside operational organisations across health, manufacturing and energy in New Zealand.
Designing and building AI agents and LLM applications on your own data and systems, then taking them from pilot to production with the testing and guardrails real operations need.
Translating business problems into clear requirements so technology projects do not cost twice as much and deliver half of what was expected.
Turning data your organisation already has into dashboards and reports that save hours every week and surface the information that actually drives decisions.
Identifying where manual work, duplication and inefficiency are costing you money or capacity, then redesigning and automating those processes practically.
Independent advice on what technology to implement, when and how. No vendor bias. If technology is not the answer, I will tell you that too.
As a registered financial adviser with an engineering and technology background, I build business cases that quantify ROI in financial terms your leadership team can evaluate and approve.
These are the kinds of outcomes I deliver. Specific problems, practical solutions, measurable results.
Operations team spent a full day and a half each week manually compiling production data from multiple systems into spreadsheets for management reporting. Data was often inconsistent and decisions were made on information that was already 48 hours old.
Connected OSIsoft PI System data to Power BI, built automated operational dashboards with live data, and eliminated the manual extraction and consolidation process entirely.
93% time savingClinical managers were waiting up to five working days for standard performance reports, relying on an IT team to manually extract and format data. By the time reports arrived, the operational window to act had often closed.
Designed and built a self-service Power BI reporting environment connected directly to the clinical data warehouse, with role-based access so managers could view their own data on demand without IT involvement.
Same-day visibilityField technicians were spending significant time on manual job reporting, document retrieval and compliance paperwork, all on paper or through clunky legacy systems. Time on admin meant less time on the network.
Implemented a Power Apps mobile solution integrated with SharePoint and the asset management system, giving field teams digital job cards, instant document access, and automated compliance capture on their devices.
6 hrs saved per person/weekNot tools I have read about. Platforms I have configured, built on, integrated and deployed in real operational environments.
Real-time and historical operational data collection, contextualisation and analytics. PI Data Archive, PI Asset Framework (AF), PI Vision, PI ProcessBook and PI Integrator. Deep manufacturing and energy deployment experience.
PI System consultingEnd-to-end implementations including interactive dashboards, automated workflows, custom business applications and AI-powered agents. Microsoft Certified. Practical delivery across health, energy and manufacturing environments.
Power BI consulting Automation consultingSharePoint Online architecture, intranet design and build, document management systems, governance frameworks, and integration with Power Platform and Teams. Deployed as the digital workplace backbone in health and utilities organisations.
Building production AI, not just advising on it: custom agents, retrieval over company knowledge, LLM features inside business apps, and Microsoft 365 Copilot and Copilot Studio where Microsoft is the right fit. Creator of Semantic Robot and founder of AIGuardU.
AI consulting Industrial AIDesigning and implementing integrations between operational systems, business applications and data platforms. Including connecting OT data sources such as PI System to business intelligence platforms and enterprise systems.
Full Microsoft 365 platform expertise including Teams deployment, advanced Excel and Power Query modelling, SQL querying and reporting, and Azure cloud services for data and analytics workloads.
I fit around what your organisation actually needs. A few hours or a few months. A defined deliverable or ongoing support. We agree the scope and fee before any work begins.
Book a 30-Min Process ReviewAgreed deliverables, timeline and fixed fee. Could be a process review, requirements document, dashboard build or business case. You know exactly what you get and what it costs before we start.
Ideal for: organisations with a specific problem and no internal resource to solve it properly.
A set number of days per month, agreed in advance. Senior BI, analytics or process improvement capability without a permanent hire or big firm overhead.
Ideal for: SMEs needing regular analytical or advisory support on a lean budget.
Covering a gap during recruitment, leave or a transition. I step into BA, BI lead or process improvement roles quickly. No long onboarding because I have done these roles for real.
Ideal for: organisations mid-project that have lost a key resource.
A structured review of a technology decision, business case or process before you commit significant money. High value, low overhead, no ongoing obligation.
Ideal for: leaders wanting a trusted second opinion before a significant decision.
Not theoretical. I have held senior operational and technology roles in these industries and understand their constraints, their politics, and their real problems.
Clinical workflows, health data systems and reporting for DHBs and health organisations. I understand the compliance environment and the operational reality of health sector technology.
Operational data, production reporting, PI System and process automation in petrochemical and forestry environments. Comfortable with the operational complexity of industrial settings.
Asset management reporting, field operations data and digital workplace transformation in a large NZ lines company. Familiar with regulated infrastructure environments.
Registered financial adviser background means I apply genuine financial rigour to business case development and investment analysis across all sectors I work in.
I have held the roles I consult on. Business analyst, BI manager, process improvement lead. And I build AI products myself. I am not learning these disciplines by doing your work. I bring 20 years of operational experience, complete flexibility on engagement model, and a direct, no-nonsense approach to every project I take on. If I cannot genuinely help you, I will tell you.
My background spans Computer Science, Industrial Engineering, building AI products and financial advisory. I work on a part-time and project basis, taking on a small number of engagements at a time and giving each one genuine attention. If I take on your project, it gets done properly. If I cannot genuinely help you, I will tell you that before you spend a dollar.
LS Consulting helps New Zealand organisations remove manual work and get value from their data. That means AI agents and LLM applications, industrial AI on PI System data, process automation with Microsoft Power Platform, Power BI reporting and business analysis. Luis Silva delivers every engagement personally.
Both, and building is the difference. I built Semantic Robot, a semantic monitoring engine licensed by parental control apps, and founded AIGuardU, a privacy-first AI monitoring product. For clients I design and build AI agents, LLM applications and retrieval over your own documents, and take them from pilot to production.
Yes. I work end to end: business analysis, business case, design, build, adoption and measuring the benefits. Because one person carries the project through every stage, nothing is lost between analysis and delivery. You can also engage me for a single stage, such as requirements or a business case.
Solutions are designed so your data stays under your control: enterprise model agreements, only the minimum data sent to a model, access that mirrors your existing permissions, and people approving the decisions that matter. Privacy-first design is how I built AIGuardU.
I am based in New Plymouth and work with organisations across New Zealand. Work is remote-first, and I come on-site when it genuinely helps the project.
Defined projects have an agreed scope and a fixed fee before any work begins. Ongoing support is a part-time retainer of a set number of days per month. Short-term contracts and one-off advisory reviews are also available. You always know the cost before you commit.
No. I am independent, with no vendor relationships and no commissions. Recommendations are based on what your organisation needs, starting with the tools you already own.
Both SMEs that need senior analytical or automation capability without a permanent hire, and larger health, energy and manufacturing organisations that need a specialist for a project, a backfill or a second opinion.
You describe the manual process, reporting problem or system gap that is costing your team time. I give you an honest view of whether and how it can be fixed. There is no commitment and no sales pitch.
No commitment, no sales pitch. Tell me the bottleneck you are dealing with and I will tell you honestly whether and how I can help. Most people leave the first call with clarity on their biggest automation opportunity.
Describe the manual process, reporting problem or system gap that is costing your team time or causing errors. I will respond within one business day with an honest assessment.
I will be in touch within one business day.