Data, Super Intelligence (AI) and Software for fewer delays and cost overruns

Any organization running projects and processes — where a delay or an overrun costs the most.

• Project progress and cost dashboards, with a single source of truth.
• Delay forecasting and anomaly detection in cost and schedule.
• Automated reports and document handling: logs, reports, meeting minutes.
• Safety and compliance records: inspections, incidents and evidence.
• Team training so the tools are adopted in daily operations, not just in the office.

• Cost
• Schedule
• Rework
• Reporting
• Safety and compliance
• Adoption

Related experience: led a team of engineers through technical validation and Tier-1 manufacturing compliance; role-based dashboards and operations portals already built (inventory, payments, messaging); and a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026).

Generation, distribution and energy efficiency — where a failure or a loss costs the most.

• Demand and generation forecasting from historical data.
• Loss and consumption analysis per facility to prioritize savings.
• Anomaly alerts on sensors of critical equipment.
• Asset availability and performance reports for managers.
• Training so operations and maintenance read the dashboards with confidence.

• Cost
• Reporting
• Safety and compliance
• Schedule

Related experience: PhD work on materials for photocatalytic hydrogen generation and a publication on organic-waste recycling materials for solar cells; and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Production, equipment and safety in operations where every hour of downtime is expensive.

• Production and recovery balance per shift in a single report.
• Predictive maintenance of heavy equipment from sensor readings.
• Safety condition tracking with in-operation alerts.
• Shift and equipment scheduling against expected production.
• Training for supervisors to use the dashboards day to day.

• Cost
• Schedule
• Safety and compliance
• Reporting

Related experience: ML-based tolerance analysis that cut prototype iterations by 25%; project management at a chemical-sensor startup that won IOP/SMF seed funding; and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Crops, irrigation and inputs — better decisions from the field data already being collected.

• Yield and irrigation forecasting from field data.
• Input and per-hectare cost tracking in one dashboard.
• Traceability of lots, applications and harvests.
• Weather and risk alerts with simple models.
• Training so field teams capture data consistently.

• Cost
• Reporting
• Adoption
• Rework

Related experience: blockchain traceability systems, Solidity smart contracts and predictive models in Python; project management at a chemical-sensor startup that won IOP/SMF seed funding; and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Programs, budgets and deliverables that must be accounted for clearly.

• Budget execution dashboard by program and agency.
• Milestone and deliverable tracking for programs.
• Clear reports for managers and funders.
• Query assistant grounded in official documents.
• Data and tools training for administrative teams.

• Cost
• Schedule
• Reporting
• Adoption

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); and role-based dashboards and operations portals already built (inventory, payments, messaging).

Plants and production lines where quality, pace and safety are measured shift by shift.

• Early defect detection with computer vision.
• Production planning and bottleneck alerts.
• ML-based tolerance analysis to cut iterations.
• Per-order costing and scrap detection.
• Safety procedures and training with compliance evidence.

• Cost
• Rework
• Safety and compliance
• Schedule

Related experience: led a team of engineers through technical validation and Tier-1 manufacturing compliance; and ML-based tolerance analysis that cut prototype iterations by 25%.

Routes, warehouses and deliveries where every delay is felt by the customer.

• Route and load optimization to cut cost per delivery.
• Delivery tracking with early breach alerts.
• Inventory control with minimum and excess alerts.
• Service-level reports per customer and route.
• Training for coordinators to run on the dashboards.

• Cost
• Schedule
• Reporting

Related experience: role-based dashboards and operations portals already built (inventory, payments, messaging); and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Stores, digital channels and live sales with inventory and payments that must reconcile.

• Demand forecasting by product, store and season.
• Automatic inventory replenishment with clear rules.
• Live-sales operations: claims, payments and messaging in one portal.
• WhatsApp support with an assistant that uses your catalog.
• Sales-by-channel and margin-by-product dashboards.

• Cost
• Rework
• Reporting
• Adoption

Related experience: role-based dashboards and operations portals already built (inventory, payments, messaging); and a multi-channel booking agent (chat, voice and WhatsApp) built as a demo.

Firms and consultancies where the team’s time is the main resource.

• Profitability by client and service in a single dashboard.
• Smart scheduling and resource reassignment by workload.
• Proposals and reports generated from templates, with human review.
• Meeting summaries with agreements and owners.
• Role-based training in Super Intelligence workflows.

• Cost
• Schedule
• Reporting
• Adoption

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); and live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy.

Schools, institutes and training programs that want to use technology with good judgment.

• Hands-on role-based workshops staff use the next day.
• Study assistants grounded in the course materials.
• Progress and attendance tracking without double entry.
• Assisted rubrics and feedback, with teacher judgment.
• Responsible-use and privacy guides for the classroom.

• Adoption
• Reporting
• Rework

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy; and an online STEM academy serving thousands of people.

Teams that close the books every month and cannot afford errors or rework.

• Detection of duplicate or out-of-pattern expenses.
• Automatic reconciliation and month-end close with fewer manual steps.
• Data extraction from invoices and statements.
• Cash-flow forecasting with scenarios.
• Spreadsheet and automation training for the team.

• Cost
• Rework
• Reporting

Related experience: JavaScript data pipelines on Google Cloud and automated large-scale data capture; and blockchain traceability systems, Solidity smart contracts and predictive models in Python.

People, leave and training — repetitive processes that eat the hours of valuable staff.

• Onboarding plans with calendar and reminders.
• Internal assistant for policy and benefits questions.
• Leave and time-off workflows with approvals.
• Aggregate turnover and absence indicators.
• Competency- and role-based training programs.

• Adoption
• Rework
• Reporting

Related experience: live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy; and a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026).

Teams that answer the same questions every day and want to do it better and faster.

• Request classification to route them correctly the first time.
• Assistant with answers grounded in your own documents.
• Response-time and satisfaction dashboard.
• Automatic conversation summaries for follow-up.
• Agent training to work alongside the assistant.

• Rework
• Reporting
• Adoption

Related experience: a multi-channel booking agent (chat, voice and WhatsApp) built as a demo.

Organizations whose numbers do not match across teams and want one reliable version.

• Automatic validation on entry to avoid double entry.
• Cleaning and consolidation of catalogs and duplicate records.
• Indicator catalog with single definitions.
• Documentation of the origin and transformation of each data point.
• Roles and data-access permissions per team.

• Rework
• Reporting
• Cost

Related experience: role-based dashboards and operations portals already built (inventory, payments, messaging); and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Decisions that depend on anticipating demand, capacity or schedule from your own data.

• Demand forecasting with confidence intervals.
• “What-if” scenarios for budget and capacity.
• Capacity planning with saturation alerts.
• Alerts when plan and reality diverge.
• Training to interpret and challenge forecasts.

• Cost
• Schedule
• Reporting

Related experience: blockchain traceability systems, Solidity smart contracts and predictive models in Python; and ML-based tolerance analysis that cut prototype iterations by 25%.

Teams that must show with evidence that they meet standards, permits and procedures.

• Tracking of permit, certification and audit expiry dates.
• Evidence organized by requirement and by owner.
• Document review against checklists.
• Alerts for pending findings and corrective actions.
• Procedure training with attendance records.

• Safety and compliance
• Reporting
• Rework

Related experience: led a team of engineers through technical validation and Tier-1 manufacturing compliance.

Equipment and facilities that must work when needed, at the lowest possible cost.

• Predictive maintenance to avoid unplanned stops.
• Maintenance plan by criticality and spare-part availability.
• Failure history and root-cause analysis.
• Digital work orders with photo evidence.
• Training so technicians record accurately and on time.

• Cost
• Schedule
• Safety and compliance

Related experience: ML-based tolerance analysis that cut prototype iterations by 25%; and automated DevOps pipelines and Oracle Cloud operations playbooks.

Teams that negotiate, approve and follow up suppliers with scattered information.

• Supplier comparison with price-variation alerts.
• Control of purchase and contract approval times.
• Supplier evaluation with objective indicators.
• Extraction of key contract clauses for review.
• Training so the team uses the approval workflow.

• Cost
• Schedule
• Rework

Related experience: JavaScript data pipelines on Google Cloud and automated large-scale data capture; and role-based dashboards and operations portals already built (inventory, payments, messaging).

Organizations with manuals, contracts and emails where nobody finds what they need.

• Data extraction from PDFs, forms and scanned documents.
• Search over your own documents with cited answers.
• Executive summaries of long reports.
• Automatic classification and filing by type and project.
• Training in good practices for using Super Intelligence with documents.

• Rework
• Reporting
• Adoption

Related experience: vector-search and generative Super Intelligence architectures on Oracle Cloud, and 10+ verified Oracle, Google, Cisco, Siemon and NetApp certifications.

Practices and clinics: administrative and scheduling processes — never diagnosis or clinical advice.

• Appointment scheduling and reminders across channels.
• Fewer no-shows with automatic confirmations.
• Operational reports on occupancy and waiting times.
• General-information assistant (hours, location, procedures).
• Training in privacy and responsible data handling.

• Rework
• Reporting
• Adoption

Related experience: a multi-channel booking agent (chat, voice and WhatsApp) built as a demo.

Facilities and communities that need to detect, warn and respond in time.

• Response interfaces with fire-detection alerts.
• Notifications to responders across channels.
• Incident log with evidence and follow-up.
• Documented contingency plans and drills.
• Training on using the tools during drills.

• Safety and compliance
• Schedule
• Reporting

Related experience: a smart emergency-response interface for fire detection, presented at IEEE AFRICON (2015).

Research and development teams that want to iterate faster and document everything.

• Simulation and tolerance analysis for fewer prototypes.
• Experimental data analysis with reproducible workflows.
• Digital log of experiments and results.
• Assisted literature review with verifiable sources.
• Team training in Super Intelligence with scientific rigor.

• Rework
• Schedule
• Cost

Related experience: PhD work on materials for photocatalytic hydrogen generation and a publication on organic-waste recycling materials for solar cells; 10+ years in photonics and optical simulation (Code V, Zemax); and ML-based tolerance analysis that cut prototype iterations by 25%.

Equipment with sensors producing data that almost nobody reviews in time.

• Ingestion and cleaning of sensor readings from several sources.
• Anomaly and calibration-drift detection.
• Reading dashboards with thresholds and alerts.
• Models to estimate hard-to-measure variables.
• Training to interpret alerts without false alarms.

• Cost
• Safety and compliance
• Reporting

Related experience: project management at a chemical-sensor startup that won IOP/SMF seed funding; and 10+ years in photonics and optical simulation (Code V, Zemax).

Digital academies that want to scale content and follow-up without losing quality.

• Progress, retention and completion dashboards per course.
• Virtual tutor grounded in each course’s material.
• Automated follow-up with low-activity students.
• Assisted exercise generation with human review.
• Live masterclasses on neural networks and strategy.

• Adoption
• Cost
• Reporting

Related experience: an online STEM academy serving thousands of people; and live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy.

Small teams that need fast results without standing up a whole systems department.

• Minimum viable product in weeks, production-ready.
• Automation of repetitive tasks with simple workflows.
• Booking agent over chat, voice and WhatsApp.
• Simple, clear financial and sales dashboards.
• Training so the team runs and extends what is delivered.

• Cost
• Schedule
• Adoption

Related experience: a multi-channel booking agent (chat, voice and WhatsApp) built as a demo; role-based dashboards and operations portals already built (inventory, payments, messaging); and automated DevOps pipelines and Oracle Cloud operations playbooks.

IT teams that want to ship faster and run securely with cost control.

• Automated CI/CD pipelines with tests and review.
• Cloud operations and team access guides.
• Cloud cost review and savings recommendations.
• Monitoring and alerts for critical services.
• Training IT teams in DevOps and DevSecOps practices.

• Cost
• Schedule
• Safety and compliance

Related experience: automated DevOps pipelines and Oracle Cloud operations playbooks; and vector-search and generative Super Intelligence architectures on Oracle Cloud, and 10+ verified Oracle, Google, Cisco, Siemon and NetApp certifications.

Data teams moving from manual reports to reliable models and data products.

• Automated, monitored data pipelines.
• Machine-learning models put into production.
• Vector search over the organization’s data and documents.
• Visualizations and dashboards for business users.
• Team training in MLOps good practices.

• Rework
• Reporting
• Schedule

Related experience: JavaScript data pipelines on Google Cloud and automated large-scale data capture; vector-search and generative Super Intelligence architectures on Oracle Cloud, and 10+ verified Oracle, Google, Cisco, Siemon and NetApp certifications; and blockchain traceability systems, Solidity smart contracts and predictive models in Python.

Products and documents that must be traceable from origin to destination with verifiable evidence.

• Lot traceability with tamper-resistant records.
• Verifiable certificate issuance with smart contracts.
• Chain-of-custody tracking between teams and suppliers.
• Alerts for deviations or missing documents.
• Audit-ready traceability reports.

• Rework
• Reporting
• Safety and compliance

Related experience: blockchain traceability systems, Solidity smart contracts and predictive models in Python.

Organizations that must measure, report and reduce their impact with reliable data.

• Energy, water and material consumption measured by area.
• Consolidated, reproducible environmental reports.
• Sensor monitoring with threshold alerts.
• Analysis of recycling and material reuse opportunities.
• Training to build measurement into daily work.

• Reporting
• Cost
• Safety and compliance

Related experience: PhD work on materials for photocatalytic hydrogen generation and a publication on organic-waste recycling materials for solar cells; and project management at a chemical-sensor startup that won IOP/SMF seed funding.

Organizations with limited resources that owe clear accounts to their funders.

• Impact reports for funders, without manual entry.
• Program tracking with aggregate indicators.
• Automation of applications, forms and replies.
• Resource-use dashboards per project.
• Training for volunteers and small teams.

• Reporting
• Cost
• Adoption

Related experience: an online STEM academy serving thousands of people; and an agent for discovering calls and funding opportunities.

High-volume operations of requests, documents and rules that must be applied the same way every time.

• Classification and prioritization of requests and claims.
• Anomaly and atypical-pattern detection for review.
• Document reading and data capture with validation.
• Assistant for internal process and document queries.
• Orderly reports for internal review and audit.

• Rework
• Cost
• Reporting

Related experience: blockchain traceability systems, Solidity smart contracts and predictive models in Python; and JavaScript data pipelines on Google Cloud and automated large-scale data capture.

Property and facility managers handling visits, payments and maintenance requests.

• Visit and appointment scheduling by chat, voice and WhatsApp.
• Maintenance-request tracking with priorities.
• Payment, collections and statement control.
• Frequently-asked-question answers with an assistant.
• Occupancy and performance dashboards per property.

• Schedule
• Cost
• Reporting

Related experience: a multi-channel booking agent (chat, voice and WhatsApp) built as a demo; and role-based dashboards and operations portals already built (inventory, payments, messaging).

Counters and government offices that want to resolve procedures with fewer trips and queues.

• Clear procedure guides with verifiable requirements.
• Classification of citizen requests by topic and urgency.
• Service-time dashboard per procedure.
• Query assistant grounded in published regulations.
• Staff training on the new tools.

• Schedule
• Rework
• Adoption

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); and role-based dashboards and operations portals already built (inventory, payments, messaging).

Teams that want to adopt Super Intelligence without compromising data or compliance.

• Security and privacy-by-design checklist.
• Role-based access and per-team data separation.
• Safe handling of credentials and environment variables.
• Logs to review how the tools are used.
• Training in responsible use of Super Intelligence.

• Safety and compliance
• Adoption
• Rework

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); and role-based dashboards and operations portals already built (inventory, payments, messaging).

Projects that fail not because of the technology, but because the team never fully uses it.

• Adoption plan with internal champions per team.
• Measurement of actual tool usage.
• Short guides and practical cases from the team’s own work.
• Hands-on role-based sessions with real exercises.
• Question channel with answers grounded in the documentation.

• Adoption
• Rework
• Cost

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026); and live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy.

Teams already on Google Workspace that want more from Gemini and NotebookLM.

• Gemini in Docs and Sheets to draft, summarize and analyze.
• Drive, Gmail and Chat with workflows built from templates.
• NotebookLM to study and synthesize your own documents.
• Security and privacy-by-design checklist.
• Hands-on no-code 120-minute workshops.

• Adoption
• Cost
• Rework

Related experience: a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026).

Repetitive processes an agent can handle, with a person approving what matters.

• Multi-channel agents for chat, voice and WhatsApp.
• Workflows with human approval at critical steps.
• Integration with your systems through APIs.
• Monitoring of agent quality, cost and failures.
• Training so the team supervises and improves the agent.

• Cost
• Rework
• Adoption

Related experience: a multi-channel booking agent (chat, voice and WhatsApp) built as a demo; and automated DevOps pipelines and Oracle Cloud operations playbooks.

Organizations that want to know where investing really pays off before any code is written.

• Assessment of opportunities and data and team readiness.
• Prioritized roadmap with realistic cost and risk.
• Secure, scalable architecture for agents and in-house search.
• Cost comparison of models, cloud and maintenance.
• Executive sessions to decide with clear information.

• Cost
• Schedule
• Adoption

Related experience: vector-search and generative Super Intelligence architectures on Oracle Cloud, and 10+ verified Oracle, Google, Cisco, Siemon and NetApp certifications; and led a team of engineers through technical validation and Tier-1 manufacturing compliance.

Projects that need to turn a model or hypothesis into something that works in practice.

• Technical feasibility assessment before committing budget.
• State-of-the-art review with verifiable sources.
• Fast prototypes to validate hypotheses with data.
• Modeling and simulation of physical systems.
• Transfer from prototype to an operable product.

• Schedule
• Rework
• Cost

Related experience: PhD work on materials for photocatalytic hydrogen generation and a publication on organic-waste recycling materials for solar cells; 10+ years in photonics and optical simulation (Code V, Zemax); and ML-based tolerance analysis that cut prototype iterations by 25%.

HR teams receiving many applications that need consistent criteria.

• Assisted shortlisting with team-defined criteria and human review.
• Consistent, traceable evaluation rubrics.
• Automated interview scheduling.
• Selection-funnel dashboards: timings and bottlenecks.
• Role-based access and careful handling of personal data.

• Cost
• Schedule
• Rework
• Adoption

Related experience: a candidate-screening agent built as a full application (frontend, backend, database and Docker); and a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026).

Organizations, research centers and startups seeking funding and needing to meet requirements.

• Discovery of relevant calls by profile and deadline.
• Deadline calendar with alerts.
• Proposal drafts from templates and evidence.
• Requirements and compliance checklist per call.
• Application and outcome tracking.

• Cost
• Schedule
• Reporting

Related experience: an agent for discovering calls and funding opportunities; and project management at a chemical-sensor startup that won IOP/SMF seed funding.

Teams turning requirements into deliverables that need consistent estimating.

• From analysis narratives to user stories.
• Structured backlog with acceptance criteria.
• Comparable estimates with explicit assumptions.
• Traceability from requirement to delivery.
• Progress dashboards per release.

• Schedule
• Cost
• Rework
• Reporting

Related experience: tools that turn analysis narratives into structured backlogs and estimates; and automated DevOps pipelines and Oracle Cloud operations playbooks.

Managers and teams with more tasks than time.

• Urgent/important matrix to decide what goes first.
• Focus blocks with the Pomodoro technique.
• BPMN modeling of key processes.
• Rich notes linked to each task.
• Super Intelligence suggestions, always with human review.

• Schedule
• Rework
• Adoption

Related experience: a prioritization app with Pomodoro, rich notes and BPMN modeling, deployed on Azure Static Web Apps; and a hands-on 120-minute Google Workspace and Gemini workshop for teaching staff (Aug 2026).

Organizations that need to showcase capabilities with memorable web experiences.

• Interactive 3D demos in the browser.
• Secure API to manage content and access.
• Bilingual content (ES/EN).
• Performance and accessibility built in from the start.
• Deployment with Docker and CI/CD.

• Adoption
• Reporting

Related experience: a showcase portal with a NestJS API and a React and Three.js web experience; and automated DevOps pipelines and Oracle Cloud operations playbooks.

Companies training many people in Super Intelligence that need to measure progress.

• Courses with modular content and role-based paths.
• Progress and assessments per person.
• Adoption reports by department.
• Assistant that answers course questions.
• Verifiable completion certificates.

• Adoption
• Reporting
• Cost

Related experience: a Super Intelligence training platform built with React, Tailwind and Supabase; and live masterclasses for 50+ professionals on neural networks and Super Intelligence strategy.

Finance and operations teams reconciling travel expenses against internal policy.

• Receipt capture with automatic reading (OCR).
• Automatic validation against the expense policy.
• Approval flow with traceability.
• Reports by cost center and period.
• Trip planning with a visible budget.

• Cost
• Rework
• Reporting

Related experience: a travel-expense management agent in a TypeScript monorepo with Docker; and role-based dashboards and operations portals already built (inventory, payments, messaging).

Restaurants and shops that want to sell directly, without relying only on platforms.

• Catalog, cart and online orders.
• Panel to manage menu, stock and orders.
• Online payments with confirmation.
• Order status notifications.
• Sales and best-seller reports.

• Cost
• Adoption
• Reporting

Related experience: an end-to-end online ordering app (MERN) with an admin panel; and role-based dashboards and operations portals already built (inventory, payments, messaging).

Brands and public venues that want memorable service, with clear usage limits.

• Avatar that serves by voice and text.
• Protected access with signed sessions.
• Usage limits to control costs.
• Bilingual service (ES/EN).
• Usage logs without personal data.

• Adoption
• Cost

Related experience: a conversational-avatar demo with Azure Functions, usage limits and continuous deployment; and a secure conversational-agent platform on Copilot Studio and Azure OpenAI, with a bilingual web interface.

Teams still managing vacations and attendance in spreadsheets and email.

• Vacation requests and approvals in one place.
• Simple, auditable attendance tracking.
• Team calendar with visible absences.
• Automatic reminders to approvers.
• Balances and payroll-ready reports.

• Rework
• Cost
• Reporting

Related experience: vacation-management and attendance-tracking applications; and role-based dashboards and operations portals already built (inventory, payments, messaging).

Teams that want an agent to work with their email, calendar and documents under controlled permissions.

• MCP connectors to the tools the team already uses.
• Email summaries and prioritization with human review.
• Scheduling and meeting coordination.
• Least-privilege permissions and action logs.
• Training to use the agent with judgment.

• Adoption
• Rework
• Schedule

Related experience: a Python MCP server that connects agents to email and calendar; and a secure conversational-agent platform on Copilot Studio and Azure OpenAI, with a bilingual web interface.