Enterprise AI in Spain 2026: the definitive guide to implementing artificial intelligence and developing your custom ERP

Spain is going through a quiet but radical paradigm shift in 2026 in the way companies operate, decide and compete. INE figures confirm what anyone running an SME, a mid-market or a large company already feels day to day: artificial intelligence adoption among Spanish companies with more than ten employees has doubled in twelve months and now reaches 21.1% of the business sector. This is not a passing trend, nor an isolated experiment in innovation labs. It is the largest reconfiguration of business processes since the arrival of the internet. If 2025 was about experimenting with AI, 2026 is about industrialising it, embedding it into the ERP, connecting it to your CRM, and turning it into the engine that sets your company apart from a competitor still working with spreadsheets and manual processes.

At Wozzo we have been building custom software for Spanish companies since 2017, and for the last three years we have been integrating AI solutions into real-world projects: custom ERPs with predictive modules, virtual agents that connect to the Spanish Tax Agency (AEAT), automations that transform whole departments. What we have seen this year goes beyond anything before. This is not a technology that is coming: it is a technology that is here, that your competitors are already using, and that the Spanish State is funding with billions of euros through the Kit Digital 2026 programme and NextGenerationEU funds. This guide is the complete manual to understand why 2026 is the decisive year, what trends to watch, what use cases generate real returns, how to fund your project and, above all, how to choose a partner so you do not end up among the 72% of projects that fail. If you run a company in Spain and want to turn AI into a sustainable competitive advantage, keep reading.

Guide contents

• 1. The real state of enterprise AI in Spain in 2026
• 2. Why your off-the-shelf ERP no longer works and why a custom ERP with AI is the answer
• 3. The eight enterprise AI trends shaping 2026 and 2027 in Spain
• 4. Real use cases with measured ROI in Spanish companies
• 5. Industries where AI and custom software are creating the most impact
• 6. How to fund your AI project: Kit Digital 2026, ENISA and EU funds
• 7. The five most expensive mistakes when implementing enterprise AI
• 8. How to choose an AI and custom software partner in Spain
• 9. A 90-day plan to implement AI in your company
• 10. Why Wozzo is the right partner for your project
• 11. Conclusion: 2026 is the decisive year

1. The real state of enterprise AI in Spain in 2026

The first mistake is underestimating the pace of change. According to Deloitte's State of AI 2026 report, based on more than 3,200 executives across 24 countries, 60% of workers already have access to AI solutions approved by their organisation, up from less than 40% the previous year. In Spain, 59% of organisations are training their workforce in AI and 54% have launched reskilling initiatives. Six out of ten Spanish companies will increase their AI investment this year, according to a recent IT User study. But there is a meaningful gap: only one in four organisations has managed to move at least 40% of its AI initiatives into production. That means most experiment, but few transform. And that is exactly where the opportunity lies for those who can execute well.

Sector figures are even more telling. In finance, 68% of Spanish companies identify operational efficiency as the main benefit of applying AI in their departments. In customer service, 46% of companies already use AI software and 62% report higher productivity. In the industrial space, SMEs that have implemented AI report productivity gains of up to 40% and operating cost reductions of 20%. In invoicing, AI-driven automation reduces errors by 94% and processing time by 78%. When these percentages are translated to a real P&L, they mean tens of thousands of euros in annual savings and, more importantly, the ability to grow without hiring more people. AI, well implemented, scales the business without scaling the headcount.

That said, here is the uncomfortable message worth absorbing up front: 72% of enterprise AI projects do not deliver the expected return. PwC has published this year that only 20% of companies capture 74% of all the value AI generates. The difference between leaders and the rest is not the budget or the sophistication of the model, but the method. AI leaders do not use the technology only to execute faster; they use it to reinvent what they sell and how they create value. And that requires a technical partner who understands both the business and the technology. Connecting ChatGPT to a spreadsheet is not enough.

Want to be part of the 28% that actually gets ROI from AI? At Wozzo we analyse your processes and tell you within 48 hours where AI can deliver the most impact. Request a free assessment here.

2. Why your off-the-shelf ERP no longer works and why a custom ERP with AI is the answer

For two decades, Spanish companies have operated with three ERP options: pay heavy licensing fees for SAP, Oracle or Microsoft Dynamics; settle for generic solutions like Holded, Sage or A3; or build something custom with an internal team or a local provider. Each option came with its problems: large solutions are rigid, expensive and force the business to adapt to the software; generic ones fall short the moment the business grows; and internal builds usually end up as spaghetti code maintained by one person who eventually leaves. The arrival of generative AI and autonomous agents breaks this balance and opens a fourth path: the custom ERP with AI integrated natively.

What changes compared to a conventional ERP? Three fundamental things. First, the interface: in an AI-native ERP, the user does not fill in forms or navigate menus. They express intent in natural language (for example, "give me the list of customers at risk of late payment in the last quarter and prepare a tailored collection email for each of them") and an agent translates that intent into queries, actions and workflows. This is what SAP calls intent-based interfaces and what NetSuite has begun integrating as agentic flows inside the ERP. Second, automation: bank reconciliations, payment proposals, supplier selection or cash forecasting stop being human tasks and become decisions delegated to agents with clear rules and full traceability. Third, intelligence: the ERP no longer just records what happened, it predicts what is going to happen and suggests actions, from stock replenishment to prioritising sales opportunities.

When we talk about a custom ERP with AI at Wozzo, we are not talking about installing a black box or paying eternal per-user licences. We are talking about building, on top of open technologies like React, Next.js, MongoDB, Node.js or GraphQL, a system that adapts precisely to your business, integrates AI models (GPT, Claude, Gemini, or open source models such as Llama or Mistral with European hosting) and connects to your existing systems via REST APIs. The initial cost is comparable to deploying a mid-tier SAP, but without monthly per-user licences and without the constraints of off-the-shelf software. ROI in mid-market companies typically lands between 150% and 300% in the first twelve months, according to recent industry studies.

We build custom ERPs with AI integrated natively. No eternal licences, code ownership stays with you and we work on open technologies. Discover our custom software development service.

3. The eight enterprise AI trends shaping 2026 and 2027 in Spain

To make the right decisions you have to look beyond the daily headline. These are the eight underlying currents defining the Spanish market and that will determine which companies lead and which fall behind in the next twenty-four months.

1. The industrialisation of autonomous AI agents

Gartner projects that 40% of enterprise applications will incorporate task-specific agents in 2026, up from 5% in 2025. That multiplies agent presence in business software eightfold in twelve months. Agents are no longer chatbots: they are systems capable of planning, reasoning, executing actions and learning from results. They can receive an order, check stock in the ERP, generate the electronic invoice with VeriFactu, send it to the AEAT, communicate with the customer and update the CRM, all without human intervention. The company that does not have at least one operational agent in production by 2026 is accumulating competitive debt month by month.

2. The automation of software development itself

The software lifecycle is being rewritten: Gartner estimates that by 2028, 90% of engineers will use AI coding assistants, up from less than 14% at the start of 2024. In practice, this means a custom software project that cost eighty thousand euros and six months in 2022 can be delivered in two months and a fraction of the cost in 2026. The barrier to entry for having your custom ERP or your industry-specific vertical platform has collapsed, and that rewrites the build-versus-buy calculus for any Spanish company with operational complexity.

3. Modernising legacy systems with generative AI

Generative AI applied to code allows large legacy codebases to be analysed, real architecture to be understood, and migration paths to modern systems to be proposed. Modernisation projects that used to be considered untouchable (too long, too expensive, too risky) can now be executed with algorithmic supervision that guarantees operational continuity. If your company carries fifteen-year-old systems, 2026 is the time to seriously consider migration before the problem becomes unmanageable.

4. Specialised vertical models versus generalist models

Faced with the euphoria around generalist models (GPT, Claude, Gemini), SAP and other large vendors are betting on models optimised for specific domains: finance, supply chain, manufacturing, retail. These models generate much more value in their areas of application because they are trained on relevant data and understand the terminology and flows of the business. For a Spanish company, the question is no longer "which LLM should I use?" but "which model, in which process, with which data?".

5. Digital sovereignty and EU AI Act compliance

Europe has bet on regulated, explainable and auditable AI. For Spanish companies, this translates into preference for European hosting, reinforced GDPR compliance and traceability of automated decisions. The Spanish data protection authority (AEPD) published a decalogue of AI recommendations in January 2026 and opened roughly 150 formal proceedings in the past year, a sharp increase compared to the previous biennium. AI governance is no longer optional. Companies that adopt AI without a clear compliance framework face real fines and reputational damage that is hard to reverse.

6. Convergence of AI with vertical industries

AI applied to hospitality predicts occupancy by cross-referencing history, weather and local events; AI applied to retail anticipates demand fourteen days in advance; AI applied to healthcare triages referrals; AI applied to logistics optimises routes in real time. The era of "generic ChatGPT" is giving way to the era of vertical assistants that understand your industry better than many external consultants.

7. Native integration with electronic invoicing and VeriFactu

Spain is going through a regulatory transition that requires the entire business sector to digitise invoicing between 2025 and 2027. This, far from being a chore, is the biggest opportunity to embed AI into administrative processes: automatic data extraction from invoices, intelligent reconciliation, duplicate detection, late-payment prediction. Solutions like FacturAda, our own electronic invoicing software with REST API, are designed precisely to integrate with any ERP or CRM and add an AI layer on top without forcing a full system migration.

8. Talent democratisation and hybrid build/buy models

Three years ago, hiring a senior AI engineer cost more than ninety thousand euros a year and was practically impossible for an SME. In 2026, low-code and no-code tools like n8n, Make or Zapier, combined with commercial model APIs, allow complex automations to be implemented without an internal specialist team. External consulting, well chosen, remains more profitable than building an internal team for almost any company under two hundred employees. McKinsey confirms it: building an internal AI team costs more than one hundred and twenty thousand euros a year just in salaries; an external partner delivers the same MVP for between five thousand and fifteen thousand euros.

These trends are already running in production at our clients.See some of the projects we have delivered and discover how to apply them to your company.

4. Real use cases with measured ROI in Spanish companies

Theory is fine, but decisions are made with numbers. These are the AI use cases delivering the most return in Spanish companies in 2026, based on data from documented real implementations and projects we see daily in the market.

Customer service and support

A well-configured chatbot resolves 72% of queries without human intervention and reduces support costs by 45%. Average payback ranges from two to four months for companies with more than a thousand monthly queries. The common mistake is deploying a generic bot without training it on the company's actual documentation; a serious bot, connected to your knowledge base and CRM, turns the customer service department into a layer that only escalates complex incidents to humans. Meet Ada Assistant, our AI virtual assistant already in production at dozens of companies.

B2B sales and intelligent lead scoring

AI-driven lead scoring lifts conversion rates from 2% to 8% in less than three months. The AI analyses every incoming lead (form data, LinkedIn profile, company website, browsing behaviour), assigns a predictive score and enriches the record in the CRM. Sales reps only work qualified leads, multiplying their productivity and shortening the sales cycle from six-to-eight weeks to four-to-five. ROI documented in Spanish SMEs: above 300% in the first year.

Invoicing, accounting and back office

AI-driven automation of the full invoice lifecycle (receipt, validation, journal entry, reconciliation) reduces average time per invoice from forty-five minutes to ten. For a company processing five hundred invoices a month, that is around one hundred and sixty hours recovered each month, the equivalent of a full FTE. Computer vision AI extracts data from PDFs, cross-references purchase orders in the ERP and posts journal entries with no human intervention in 90% of cases. Implementation cost: between eight and fifteen thousand euros. Monthly maintenance: between five hundred and one thousand euros. ROI: above 700% in mid-market companies.

HR and recruitment

AI automates CV screening, virtual pre-interviews, candidate qualification and documented onboarding. Mid-market companies report 60% reductions in time-to-hire and improvements in hire quality because the system catches patterns humans tend to miss. For companies with high turnover (hospitality, retail, logistics), ROI shows up before the end of the first quarter. Combined with a time-tracking system like JornAda, the people management loop closes end-to-end.

Logistics, stock and supply chain

AI predictive models reduce excess inventory by 35% and stockouts by 52%. In high-turnover warehouses, this releases six-figure working capital in just a few months. The system analyses history, seasonality, market trends and local events, and proposes optimal stock levels per SKU and per warehouse. This is one of the cases where a custom ERP with AI clearly outperforms an off-the-shelf ERP: the forecasting logic adapts to your business, not the other way round.

Marketing, content and communication

AI-driven email campaigns generate 41% more opens and 28% more clicks than manual ones. Generative AI drafts subject line variants, segment-personalised bodies and optimal send times. For companies with databases over ten thousand contacts, the increase in pipeline is direct and measurable. Combined with professionally managed Google Ads campaigns, the cost per acquisition can drop by 20% to 40%.

Internal knowledge management

Agents that index all the company's documentation (manuals, contracts, policies, project history) and allow it to be queried in natural language save 1.6 hours per employee per day in information search. In a hundred-person company, that is one hundred and sixty hours recovered every day. Translated into euros, this is one of the highest absolute-return investments in the enterprise AI catalogue. The challenge is that it requires careful attention to privacy and access control, but it is perfectly feasible with European hosting and GDPR compliance.

Which of these use cases fits your company? Let us help you identify the one with the highest ROI for your business. Discover our Artificial Intelligence service.

5. Industries where AI and custom software are creating the most impact in Spain

Not every industry advances at the same pace, and not every sector needs the same use cases. Let us look at where the money is in 2026 and what opportunities exist for companies that move fast.

Industry and manufacturing

AI is transforming quality control with computer vision, predictive maintenance of machinery, energy optimisation and supply chain traceability. Spain is the third European industrial robotics power, with more than five thousand one hundred new installations a year. A Spanish industrial SME that combines AI with business process automation can reduce more than 50% of manual processes and increase productivity by up to 40%. The Activa Industria 4.0 programme and NextGenerationEU funds offer specific funding for this sector.

Retail and e-commerce

Demand forecasting, lead scoring, personalised recommenders, 24/7 AI customer service agents, intelligent returns management, dynamic pricing. An average online store can save thirty to forty-five hours a month on returns management with intelligent automation and lift conversion by 15-25% with catalogue personalisation. Vertical marketplaces and B2B platforms are where the investment in custom AI software pays back fastest.

Hospitality and tourism

Occupancy forecasting cross-referenced with weather and events, dynamic pricing optimisation, multilingual booking agents, review analysis for continuous improvement. Particularly relevant in the Balearic Islands, Catalonia, Valencia, Andalusia and the Canary Islands, where the sector represents a substantial part of regional GDP. An average hotel can improve its RevPAR by 8-15% with a well-built intelligent pricing model.

Professional services (consulting, law firms, advisory)

Proposal generation, contract analysis, knowledge management, research assistants, automated reporting. A consultancy with twenty-five employees and three million in turnover recovers ten to fifteen hours per employee per week, which on an annual projection exceeds half a million euros of additional operational capacity without hiring anyone new.

Healthcare, clinics and medical services

Referral qualification, query triage, intelligent appointment management, AI-assisted medical reporting, no-show prediction. Highly regulated sector where choosing a partner with experience in healthcare GDPR is critical. AI investment in healthcare management is one of the cases with the highest combined social and economic payback.

Construction and real estate

Automated cost estimation, on-site control with computer vision, intelligent document management, predictive valuation analysis, customer assistants on listing platforms. A traditionally lagging sector in digitisation where the competitive advantage of the early adopter is enormous.

Logistics and transport

Real-time route optimisation, predictive fleet maintenance, OCR and AI for delivery notes, tracking agents for end customers, demand forecasting in warehouses. Very high ROI because every optimised route hour and every saved kilometre compounds across fleets of hundreds or thousands of vehicles.

What sector does your company operate in? Tell us and we will send you references and use cases applicable to your industry. Talk to our team.

6. How to fund your AI project: Kit Digital 2026, ENISA and EU funds

One of the best news of the year is that the Spanish State is paying a significant share of the digitisation bill. Kit Digital, regulated by Order TDF/39/2026 published in the Official State Gazette on 28 January, has been extended to 2026 with a key novelty: the Artificial Intelligence category enters the official catalogue of subsidisable solutions for the first time. The amounts are clear and attractive.

For self-employed workers, the grant is around two thousand euros; for micro-enterprises with three to nine employees, up to six thousand euros; for SMEs with ten to forty-nine employees, up to twelve thousand euros; for mid-market companies (segment IV), up to twenty-five thousand euros; and for large companies (segment V), up to twenty-nine thousand euros. These grants are non-repayable, meaning they do not have to be returned, and they take the form of digital vouchers that the authorised digital agent collects directly from the State, so the company does not advance any money.

The relevant categories for AI and custom ERP projects are Process Management, Process Management with associated AI, Customer Management with associated AI, Business Intelligence with AI, E-commerce, Electronic Invoicing and Cybersecurity with AI. By combining several categories, a mid-market company can undertake an integral digitisation project worth more than fifty thousand euros with most of the cost financed.

Beyond Kit Digital, growth-minded companies should consider other levers: ICO credit lines from Banco Sabadell, Banca March and other entities, with competitive rates and long terms; ENISA loans, particularly attractive for their soft rates on innovation projects; the Activa Industria 4.0 programme by EOI for industrial companies; Ticket Innova from CDTI; direct EU funds from Horizon Europe for larger projects; and regional grants (SPRI in the Basque Country, Acció in Catalonia, IVF in Valencia, ADER in La Rioja, IDI in the Balearic Islands, among others). Combining several sources in the same project is not only legal but standard practice: the basic rule is that each euro must be allocated to a different cost.

As an authorised digital agent, we handle the full Kit Digital application with no paperwork on your side. Up to €29,000 non-repayable for your project. Request your digital voucher here.

7. The five most expensive mistakes when implementing enterprise AI and how to avoid them

Bain & Company reports that 75% of enterprise AI initiatives fail to move past the pilot phase. The reason is rarely the technology. It is almost always one of these five recurring mistakes that we see repeated project after project.

Starting with the tool, not the problem

Buying ChatGPT Enterprise, Copilot or any platform licence without having defined a specific process to improve is the recipe for failure. AI is not a product you buy; it is a capability you implement on top of a specific bottleneck. The right method is the opposite: identify two or three processes where AI can deliver measurable impact in less than ninety days, and only then choose technology.

Measuring nothing before or after

Without a metrics baseline (time per task, cost per process, error rate, customer satisfaction), proving ROI is impossible. Before starting any project, document the current situation with concrete numbers. This also serves to align leadership and the team around a shared objective.

Excessive ambition in the first project

Trying to transform the whole company in six months with a Pharaonic project is the recipe for it dying in pilot. The method that works is an MVP of four to eight weeks, connected to a real KPI, with a contained budget and rapid learning. Once ROI is proven on a small case, scaling to other processes is trivial.

Ignoring integration with existing systems

Integration with CRM, ERP, e-commerce and internal tools usually represents 40-55% of the total project cost. The AI model itself rarely exceeds 15%. What makes a project expensive is not the LLM, but connecting it to the operational reality of the business. Systems integration is one of the most demanded services at Wozzo precisely for this reason.

Forgetting change management

AI adoption is not a technical project; it is an organisational project. According to the AI & Talent Barometer by NTT DATA and ISDI, 60% of Spanish organisations have no plan to address internal resistance to AI use. If employees see AI as a threat rather than as an ally, the project fails by pure cultural rejection, no matter how brilliant the model is. Communication, training and role redesign are as critical as the code.

We have spent years avoiding these mistakes in real projects.Learn about our method and why our clients come back project after project.

8. How to choose an AI and custom software partner in Spain

Choosing the wrong partner can cost six to twelve months of delay and tens of thousands of euros down the drain. These are the criteria that distinguish a good AI partner in Spain from a vendor that just sells hours.

Demonstrable experience in enterprise software projects, not just generative AI toys. The difference between connecting ChatGPT to a spreadsheet and building a custom ERP with a predictive module, AEAT integrations and autonomous agents is enormous. Ask for real cases with numbers and contactable references.

In-house team in Spain. Consultancies that subcontract everything to programmers abroad are cheaper per hour but charge double in management overhead, delays and errors. A local, accessible team with project leads who walk into your office is worth every additional euro. At Wozzo, our entire team works from Mallorca and serves clients across Spain; no project is subcontracted.

Code ownership. Some providers build "custom" software but keep the source code; that ties you in for life. A good partner delivers code, documentation and architecture. Your investment in software is your asset, not the vendor's.

Modern, maintainable tech stack. React, Next.js, TypeScript, Node.js, MongoDB, GraphQL, React Native: open technologies, with active communities and thousands of available developers in the market. Stay away from proprietary stacks or technologies that only three people in Spain know.

Transparency in pricing and timelines. A good partner quotes by milestones, not by open-ended hours. If the initial budget doubles mid-project, something was wrong in the planning. Ask for detailed quotes broken down by module, with concrete deliverables per phase.

Ability to maintain and evolve the product. Software is not a project, it is a living product. Your partner should provide maintenance, support and continuous evolution. A development with no maintenance ages badly and turns into technical debt within two years.

Sensitivity to compliance, GDPR and AI Act. Especially critical if you handle sensitive data (healthcare, financial, HR). The European AI Act came into force in 2024 and its obligations are being phased in progressively; working with a partner who understands the regulatory framework saves you costly issues down the line.

Explore all of Wozzo's services: custom software development, mobile apps, integrations, automation, AI, electronic invoicing and more. See the full services catalogue.

9. A 90-day plan to implement AI in your company

If you are running an SME or mid-market company in Spain and want to take the step, this is the plan we recommend at Wozzo to our clients and that has been proven to deliver ROI in less than a quarter.

Days 1 to 15: assessment. Map the processes where the team invests the most repetitive manual hours. Identify the two or three points with the greatest potential impact on revenue or cost. Document the current situation with concrete metrics: time per task, monthly cost, error rate, internal and customer satisfaction.

Days 16 to 30: definition and design. Choose the first use case (one only, no more). Define a measurable KPI and the baseline. Select technology and architecture. Validate the project with leadership and communicate it to the team. Apply for Kit Digital or any relevant grant if applicable.

Days 31 to 60: MVP development. Agile build with weekly sprints. Continuous validation with real process users. Connection to existing systems (CRM, ERP, e-commerce, invoicing). Testing in a controlled environment.

Days 61 to 75: production pilot. Progressive rollout. Monitoring of the defined KPI. Fine adjustments. Internal team training. Communication of results to the organisation.

Days 76 to 90: measurement and scale-or-stop decision. Compare results against the baseline. Document impact. Decide whether to scale to other processes or iterate on the current case. Prepare the next use case.

This approach, validated across dozens of projects, ensures that risk stays contained, learning is real and ROI is measurable. The opposite of the "twelve-month grand project" that so many Spanish companies have buried over the years.

Ready to launch your first 90 days with AI? Let's design the plan together in a no-strings assessment session. Book your meeting here.

10. Why Wozzo is the right partner for your AI and custom ERP project in Spain

We have been building custom software for Spanish companies since 2017. We are a team of ten, seven of whom are developers, fully based in Mallorca, with clients across Spain and three SaaS products of our own used by more than five hundred companies: FacturAda for electronic invoicing with VeriFactu, JornAda for time tracking and HR, and Ada Assistant as an AI virtual assistant available 24/7. This means we do not just build software for third parties: we build, maintain and scale our own product, which gives us a level of technical self-demand that clients notice in every project.

Our approach combines the best of two specialties: we are software engineers with experience building real enterprise applications, and at the same time we are AI integrators with production projects connecting generative models, autonomous agents and vector databases to real ERPs and CRMs. We work with a modern stack (React, Next.js, TypeScript, Node.js, MongoDB, GraphQL, React Native) that ensures scalability, maintainability and talent availability for the future. And we always deliver code owned by the client, full documentation and ongoing support.

If you are evaluating an AI, automation, custom ERP, systems integration, autonomous agents, mobile app or vertical industry platform project, we offer a no-strings first meeting to understand your case, identify real opportunities and propose a concrete roadmap with a closed budget by milestones. See some of our projects here to get a sense of the kind of work we deliver.

11. Conclusion: 2026 is the decisive year for enterprise AI in Spain

The Spanish enterprise AI market is going through the biggest opportunity window in its history. Adoption has doubled, budgets are growing, the State is funding, tools are mature, models are powerful and use cases are documented with concrete numbers. The question is no longer whether to invest in AI, but with whom and how. Companies that execute in the next eighteen months will benefit from a competitive window that is closing: in 2027 and 2028, when half of the business sector has AI in its core processes, being late will be expensive. Today it is still possible to be among the first in your sector, capture data ahead of the competition and build digital assets that appreciate over time.

At Wozzo we believe the future of the Spanish company runs through custom software, AI applied to real business and local partners who understand both the technology and the context. If that sounds like what you need, let's talk. And if not, take one clear idea away from this guide: 2026 is now, and every quarter that passes without action is a quarter your competitor moves further ahead.

Start your AI project with Wozzo

We are an authorised digital agent, in-house team based in Spain, and the technical partner of companies that want to lead their sector with custom software and real artificial intelligence. We offer a no-strings first meeting to assess your case and propose a roadmap with a closed budget.

Contact Wozzo:

Call us at +34 971 14 38 36 or +34 696 362 327.

Email us at info@wozzo.es.

Book an online meeting here and pick the time that suits you best.

Request a no-strings quote by briefly describing your project.

Explore our full services catalogue and our case studies.

Or try our products directly: FacturAda for electronic invoicing, JornAda for time tracking and Ada Assistant for AI customer service.