The problem defines the solution.Not the other way around.
Industrial efficiency & digitalization consulting
Onyx Productivity partners with manufacturing and industrial businesses to find where time and capacity are being lost, then fix it — through productivity diagnostics, digitalization roadmaps, custom AI tools, and hands-on continuous improvement.
We're a boutique consultancy specialized in productivity and operational transformation. We combine experience in continuous improvement and Lean, knowledge of logistics and supply chain, and the ability to build software and apply AI.
We work with organizations that have real efficiency problems and need to improve how they operate — without taking on the structure, cost, or complexity of a large consultancy.
Our focus isn't selling a methodology or a technology. It's understanding what's holding the operation back and solving it with the right tool.
How we create value
We start from the operation, the processes, and the data to understand what's happening and what's limiting performance. We don't apply standard solutions: every intervention starts from the organization's actual reality.
We look for impact before complexity. We adjust the scope and the intervention to fit the problem, avoiding oversized solutions. Not every problem needs a big project.
Lean, digitalization, automation, software, and AI are tools. We use and combine whichever ones create value in each case, without introducing technology or methodology for its own sake.
We want every project to end in a concrete, measurable improvement aligned with the organization's objectives. We can support the full journey, from understanding the problem and defining the solution to implementing it and measuring the result.
A focused set of services for industrial and manufacturing teams — each one scoped to fit the size of the problem.
Express productivity analysis
A fast, focused diagnostic that surfaces where time and capacity are being lost, and what to fix first.
See service →Digital assessment
An assessment of your digitalization maturity, with process and systems mapping, a tools evaluation, and a prioritized roadmap — including feasibility analysis and a plan to put it into practice.
See service →Custom AI tools
Purpose-built tools that turn your data into decisions, from a single dashboard to a full system.
See service →Continuous improvement
Hands-on work on the shop floor, from a single quick win to a full transformation.
See service →Express productivity analysis
A diagnostic doesn't need to start from a problem — it's a way to get an objective, evidence-based view of how the operation is really running.
An operational diagnostic doesn't necessarily start from a problem.
It can be carried out to gain a more objective understanding of how an operation is running, cross-check perceptions against data, validate existing information, identify improvement opportunities, or build a solid foundation before making decisions.
It's also useful when specific issues exist — productivity losses, delays, bottlenecks, coordination problems, or capacity constraints — and it's necessary to analyze what's happening and what might be causing it.
Before a big decision, to cross-check data against perception, or whenever deviations need a deeper look.
We cross-check the information available and analyze the operation to build an independent, structured view of how it's performing.
We analyze the operation to provide a structured, independent view of how it's running, what factors are shaping its performance, and where there's room to act.
We cross-check the information available, analyze the processes, and look for evidence that confirms or challenges existing assumptions.
A tailored mix of interviews, data review, and direct observation, cross-checking operational knowledge against the numbers.
We tailor each diagnostic to the goal of the analysis and the characteristics of the operation.
We place special importance on the available data and the knowledge of the people who work directly with the processes. Interviews help us understand the context behind the metrics, while data helps cross-check perceptions and provide an objective basis.
Key findings, a cross-check of perception vs. data, and a prioritized roadmap of quick wins and next steps.
The final content depends on the scope and goal of the diagnostic, but it can include:
Immediate actions when clear, low-complexity opportunities are identified.
Ranking opportunities by impact, feasibility, and effort required.
Action lines and next steps derived from the prioritization.
More information and judgment to decide with confidence what to keep, what to improve, and where to act.
An independent, well-founded view of the operation that lets you confirm, challenge, or complement the information available and make decisions with better judgment.
From a full plant diagnostic to a focused bottleneck, capacity, or methods-and-times analysis.
Digital assessment
Before deciding what to automate or where to apply AI, you need to understand how processes and information really work today.
Digital transformation isn't just about adopting new tools. Before deciding what to automate, what to integrate, or where to apply artificial intelligence, you need to understand how the processes currently work, how information is generated and flows, and what digital capabilities already exist.
The assessment reveals an operation's digitalization level, benchmarks its current state, identifies opportunities to evolve, and evaluates how much potential specific activities, processes, or information flows have to be improved through technology.
We analyze both the existing capabilities and the limitations and dependencies that could shape future digital initiatives.
When you need to know your real digitalization level before investing in automation, integration, or AI.
We analyze processes, systems, and data flows to turn a general digital ambition into a concrete evaluation of capabilities and priorities.
We analyze processes, systems, data, and information flows to assess how technology is currently being used and what possibilities exist for evolving it.
We study different dimensions of digitalization: how information is recorded, how it's transmitted, how the operation is controlled, what visibility exists, which systems are connected, and which activities have potential for automation or more advanced capabilities.
For each opportunity, we don't just weigh its technological appeal. We also analyze its potential value, the difficulty of execution, existing dependencies, and the level of readiness needed to take it on.
We map how information is recorded, shared, and controlled today, then assess the feasibility of each opportunity to evolve it.
We tailor the assessment to each organization's processes, systems, and objectives.
We place special importance on interviews with the people involved in the operation, a review of existing tools, and an analysis of how information is generated, recorded, transmitted, controlled, and used.
What information exists, how it's generated, how it's recorded, and how structured it is.
How data flows between people, departments, files, applications, and systems.
What mechanisms exist to control processes and understand how they're performing.
Metrics, reporting, dashboards, alerts, and other aids for using information.
The degree of connection between data, processes, applications, and systems.
Potential to reduce manual work in tasks, calculations, communications, or workflows.
Possibilities for adopting advanced capabilities once the right conditions are in place.
Execution difficulty, potential impact, requirements, and prerequisites for each initiative.
A map of your current digital status, prioritized opportunities, and a phased Digital Transformation Plan.
The assessment's outcome shows where the organization stands, what potential exists, and what path makes sense to follow. Depending on the scope, it can include:
Identifying possible paths forward and the potential value each one could bring.
Ranking by impact, difficulty, feasibility, dependencies, and the readiness required.
Defining phases and initiatives to progressively evolve from the current state toward greater digital capabilities.
An objective view of the operation's digitalization level and of how far it can reasonably evolve.
An objective view of the operation's digitalization level and of how far it can reasonably evolve.
From a digitalization-level assessment to a full Digital Transformation Plan.
Custom AI tools
Many operations still run on spreadsheets, disconnected files, and manual tasks that off-the-shelf tools don't quite fit.
Many organizations run a significant part of their operation through spreadsheets, standalone files, email, manual tasks, and tools that aren't well connected to each other.
Spreadsheets are flexible, useful tools, but certain processes can grow to the point of needing multiple files, manual updates, information consolidation, repetitive checks, or heavy dependence on specific people.
In other cases, off-the-shelf solutions exist, but they force unnecessary changes to how people work, bundle in features that aren't needed, or don't adapt well enough to the specifics of the process.
There can also be a specific need to improve how information is visualized, automate tasks, connect different data sources, or add new digital capabilities.
When spreadsheets, manual updates, or disconnected tools are eating time that could go toward higher-value work.
We design digital solutions tailored to the process itself — not the other way around — automating and connecting what actually adds value.
We design and build digital solutions tailored to the process and the needs of the people who'll use them.
We start from how the operation actually works and analyze which tasks can be simplified, which information can be integrated, and which parts of the process can be automated.
A solution might centralize information, automate calculations and updates, connect different data sources, structure records and controls, generate metrics automatically, or incorporate AI capabilities when they add value.
We start from how people actually work, then define, design, integrate, automate, and roll out the tool step by step.
We start from the operation, not from a predetermined technology.
Together with the users, we understand how they currently work, what information they use, what tasks they perform, what decisions they need to make, and what limitations they run into with existing tools.
We pin down what the solution needs to solve, who will use it, what information it needs, and what constraints exist.
We design the tool around the working logic that already adds value, avoiding unnecessary changes to the process just to fit a standard solution.
We connect and structure data, files, or systems to reduce duplication, manual consolidation, and manual transfers.
We cut down on repetitive tasks, calculations, updates, or information transfers that don't need manual work.
We turn data into metrics, interactive dashboards, alerts, and tools that make tracking and decision-making easier.
We test the solution with users, incorporate adjustments, and roll it into day-to-day operations progressively.
From a single internal app to a full set of connected dashboards, automations, and integrations.
The outcome depends on the nature and scope of the project. The solution might cover one very specific need or bring several elements together into a single tool.
Defining what work we want to simplify, for whom, and what the tool needs to deliver.
Designing, building, integrating, and validating a tool tailored to the process.
Rolling it into day-to-day operations, with support to make sure it works in its real context.
A functional, proportionate tool tailored to how the organization really works.
A digital solution tailored to a specific need and designed to fit into the reality of the operation.
From an internal app replacing spreadsheets to interactive dashboards and AI-based features.
Continuous improvement
Sometimes the need is already clear — the challenge is turning it into a concrete, implemented improvement.
There are situations where the organization already knows which process or area it wants to act on, and needs to turn that need into a concrete improvement.
It might involve productivity problems, long cycle times, bottlenecks, variability, a lack of standardization, uneven workloads, recurring errors, coordination difficulties, or processes that have evolved without ever being structurally reviewed.
There can also simply be an opportunity to simplify a way of working, increase capacity, improve flow, or establish a more robust way of managing the operation, even without a critical problem.
When there's a specific process to improve and opportunities need to become real, implemented changes.
We design and implement improvements tailored to the process, its goals, and the people who work in it.
We design and implement improvements tailored to the process, its objectives, and the people who work in it.
We start from the current situation and the improvement being pursued. We analyze the relevant causes and constraints, define alternatives, and develop a new way of operating together with the organization.
Depending on the need, the intervention might address working methods, timing and sequencing, workload and resource distribution, material or information flows, planning, operating standards, metrics, management routines, or digital tools when they complement the improvement.
A hands-on cycle — analyze, design, test, implement, measure, and consolidate — scaled to the size of the improvement.
We work directly on the process and with the people involved in it.
We place special importance on understanding how the work is actually done, cross-checking it against data, and designing improvements together with the people who know the operation.
We dig into the specific process — its data, methods, times, workloads, constraints, and current way of working.
We propose alternatives and weigh their impact, feasibility, and implementation effort.
When appropriate, we use trials, pilots, or phased rollouts to validate the new way of working.
We support the rollout of the changes and adjust standards, tools, organization, or management systems as needed.
We define metrics that track progress and compare the result against the starting point.
We put in place standards, metrics, and tracking mechanisms to help sustain the improvement after the project ends.
A detailed process analysis, a redesigned way of working, and the standards and metrics to sustain it.
The outcome depends on each initiative, but it can include:
Defining the improvement, the new way of working, and the changes needed.
Putting it into practice, testing, adjusting, and supporting the transition.
Metrics, standards, and tracking mechanisms that help sustain the improvement.
A concrete, implemented, measurable improvement to how the operation runs.
A concrete improvement to the operation, designed to solve a real need and to hold up after the engagement ends.
From a single quick win to a full productivity or standardization initiative.
Illustrative examples of the kind of work we do. Replace with real case studies as they become available.
Manufacturing plant
Custom AI tool
Continuous improvement
Process & systems mapping
Send us a short note about what you're building — we usually reply within a business day.
What's happening, where it's happening, and what impact it has on the operation.
We'll tell you clearly whether we can help and what kind of intervention would make sense.
If there's a fit, we set up an initial conversation and pin down scope and objectives.
Based in Madrid, working with clients across Europe.
Mission and vision
Mission
We improve productivity, processes, and decision-making by combining operational knowledge, continuous improvement, and technology. We design solutions proportionate to each problem and support their implementation when it adds value.
Vision
We want to build a consultancy recognized for its rigor, closeness, and ability to connect operations and technology, offering the same level of quality and judgment to organizations across Spain and Latin America.
Work with us
We want to build a team with complementary profiles in operations, continuous improvement, technology, and business development.
We're interested in people with judgment, curiosity, and the ability to combine analysis with execution — people comfortable working with clients, data, processes, and digital tools.
